/harden has a real scale (SKILL.md:435 — Critique -15, Haute -8, Moyenne -3, Basse -1, clamp [0,100]). /seo had none: every axis was felt, so two runs over identical code could disagree. That is a credibility problem on its own, and /client-handover gates on 17/20 — a wobbling number makes the gate arbitrary. H2 sharpened it: now that drift reports what actually changed, a score moving on its own is visibly noise. The split is the whole point. WHICH findings exist and how severe each is stays the LLM's judgement — irreducible, and I am not pretending otherwise. The arithmetic stops being judgement: same findings in, same score out. Same principle as grouping cannibalisation rows in the engine rather than handing a model 1000 rows to add up. Reuses /harden's scale, /5 into /20, so the family speaks one vocabulary instead of two. Two things it makes real that were prose: - **N/A is not a zero.** R2 (client-rendered on-page) and I1 (unauditable off-page) both mandate excluding an axis and renormalising the rest. Both left that arithmetic to the model. Now the engine does it and refuses to let N/A behave like a zero — verified: all-20 axes with two N/A still yields global 20.0, not a dragged-down mean. - **Prevalence.** affected/sampled shift severity ONE step (>=50% escalates, a single page de-escalates). A defect on 1 of 12 pages is not the defect on 12 of 12, and flattening the two is part of what made the old numbers move. Malformed input is an error, never a silently wrong number — unlike the fetch verbs, a degrade here would mean bad input, not a network fact. Unknown severity and unknown profile both rejected, tested. Verified: hand-checkable arithmetic (haute+moyenne = 100-11 = 89 → 17.8; critique+haute = 77 → 15.4), identical global across repeated runs, weights renormalised to sum 1.0 with two axes N/A. seo-data 155 -> 167 pass, 0 fail; full suite green; shellcheck + py_compile clean.
363 lines
20 KiB
Markdown
363 lines
20 KiB
Markdown
# seo-data — GSC + CrUX data layer for `/seo` FULL audits
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Small, isolated engine that gives the `/seo` skill real Google data instead of
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guesses: **Search Console** (queries, positions, indexation) and **CrUX**
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(Core Web Vitals *field* data — real users, not lab simulation). It knows
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nothing about SEO scoring; it only turns Google APIs into normalized JSON.
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The `seo-analyzer` agent consumes that JSON in STEP 4 (Core Web Vitals) and
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the new "Performance GSC" subsection; the `/seo` skill selects the account
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and property in STEP 0 of a FULL audit (not needed for LOCAL).
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Multi-account by design: the token store is keyed by a user-chosen label, and
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every call takes `--account`/`--property` explicitly. Two audits running at
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the same time (two sites, two sessions) never share mutable state — nothing
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is written to disk during an audit, only at `make seo-connect`.
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## Setup
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One-time per Google account:
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```bash
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make seo-connect # from the claude-config repo
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bash ~/.claude/lib/seo-data/connect.sh --label <label> # from ANY directory (venv must exist)
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```
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`make seo-connect` creates `~/.claude/.venv-seo-data/` (isolated venv, deps
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pinned in `requirements.txt`), installs `google-auth`,
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`google-auth-oauthlib`, `requests`, then delegates to `connect.sh`. The
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wrapper sources `~/.claude/.env` internally, prefers the venv python, and
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runs `connect.py`: it opens a browser for OAuth consent and takes a
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**label** (e.g. `client-a`) to key the account — pick a name, not an email,
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since the store never stores or requests the account's email. Once the venv
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exists, `connect.sh` alone connects further accounts from anywhere (the
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`/seo connect [label]` skill verb uses exactly this path).
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Before running it, set these 3 keys in `~/.claude/.env` (the canonical
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vault; `link.sh` only symlinks the repo's `.env` to it and warns with a
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`cp .env.example .env` hint if it's missing — it never creates the vault
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itself):
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```bash
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GOOGLE_OAUTH_CLIENT_ID=<your-client-id>.apps.googleusercontent.com
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GOOGLE_OAUTH_CLIENT_SECRET=<your-client-secret>
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CRUX_API_KEY=<your-crux-api-key>
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```
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- `GOOGLE_OAUTH_CLIENT_ID` / `GOOGLE_OAUTH_CLIENT_SECRET` — OAuth2 "Desktop
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app" credentials from the Google Cloud Console (APIs & Services →
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Credentials). Shared across every account you connect; the OAuth scope
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requested is `https://www.googleapis.com/auth/webmasters.readonly` only
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— read-only Search Console, nothing can be modified or deleted via this
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token.
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- `CRUX_API_KEY` — a Chrome UX Report API key (restrict it to CrUX +
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PageSpeed in the Console). Get one at
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https://developer.chrome.com/docs/crux/api. No OAuth involved: CrUX is
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public field data, gated by API key only, independent of any connected
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account.
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`make seo-connect` is idempotent and rerunnable — connecting a second
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account just runs it again with a different label; reusing an existing
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label prompts to overwrite.
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## `fetch.sh` contract
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`lib/seo-data/fetch.sh` is the one stable entrypoint analyzers call. It
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sources `~/.claude/.env`, prefers the isolated venv (falls back to system
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`python3` for stdlib-only paths), dispatches to `google_seo.py` or
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`tokenstore.py`, and never prints a secret to stdout or stderr.
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```bash
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fetch.sh accounts
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→ {"status":"ok","accounts":[{"label":"…","properties":[…],"granted_at":"…"}]} # [] if none connected
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fetch.sh crux --url https://ex.com [--strategy mobile|desktop]
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→ {"status":"ok","source":"crux","lcp_p75_ms":…,"inp_p75_ms":…,"cls_p75":…} # a missing metric omits its key
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→ {"status":"degraded","reason":"no_crux_key"|"no_field_data"|"rate_limited"}
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# a 404 on page-level data retries at origin-level before degrading
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fetch.sh queries --account client-a --property sc-domain:ex.com [--days 90] [--dim query|page]
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→ {"status":"ok","source":"gsc","dimension":"query","rows":[{"key":"…","clicks":…,"impressions":…,"ctr":…,"position":…}]}
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→ {"status":"degraded","reason":"no_credentials"|"token_revoked"|"network_error"|"rate_limited"}
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fetch.sh inspect --account client-a --property … --url https://ex.com/page
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→ {"status":"ok","source":"gsc","indexed":true,"coverage":"…","last_crawl":"…",
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"rich_results":{"verdict":"PASS|FAIL|NEUTRAL|VERDICT_UNSPECIFIED|ABSENT",
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"types":[{"type":"FAQ","items":2,"errors":2,"warnings":1,
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"issues":["Missing field 'acceptedAnswer'"]}]}}
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→ {"status":"degraded","reason":"…"}
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rich_results rides the SAME URL-Inspection response — Google already sends
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it, `inspect` used to discard it. No extra call, quota or OAuth scope.
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It is the only programmatic structured-data validation in the system.
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• verdict PARTIAL is never emitted — the API reserves it as unused.
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• verdict ABSENT is SYNTHETIC (not a Google enum): the API omits
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richResultsResult entirely when it detects no rich results. Surfaced
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as a value rather than a missing key, because a caller cannot tell an
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absent key apart from a check that never ran. ABSENT = "none
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detected", never "invalid".
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• errors/warnings count issue INSTANCES; issues[] is deduped — the same
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issueMessage repeats across every affected item.
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fetch.sh cannibal --account client-a --property … [--days 90] [--rows 1000]
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→ {"status":"ok","source":"gsc","days":90,"rows_scanned":1000,"capped":true,
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"conflict_count":12,
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"conflicts":[{"query":"plombier paris","pages":3,"total_impressions":2400,
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"urls":[{"url":…,"clicks":…,"impressions":…,"position":…}]}]}
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→ {"status":"degraded","reason":"…"} # no account → NOT auditable
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Keyword cannibalisation from Google's own data: queries where 2+ of OUR
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pages compete. Groups query+page rows; conflicts ranked by total
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impressions, and within each the strongest page first. `capped:true` means
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the row window was full — more conflicts exist past the cut, say so.
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Same auth, same quota family, no new scope: the API always accepted several
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dimensions at once, this engine only ever asked for one.
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• NOT the 30/70 duplication rule. This is a SERP fact Google measured.
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30/70 is content similarity, which has no data source here — doing it
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naively (compare two same-template pages without stripping nav/footer)
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returns ~95% similar for every site, a confident false positive. It stays
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an LLM judgement, labelled as one.
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• `queries` now takes `--dim query,page` (comma-separated) and `--rows`.
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Rows gained a `keys` list; `key` stays as keys[0], so the single-dim
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consumer is untouched.
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fetch.sh sitemap --url https://ex.com/sitemap.xml
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→ {"status":"ok","source":"sitemap","index":false,"count":86,"dropped":0,
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"urls":["https://ex.com/", …]}
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→ {"status":"ok","index":true,"children_total":4,"children_read":4,
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"children_failed":0,"count":312,…} # <sitemapindex>, one level deep
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→ {"status":"degraded","reason":"fetch_failed"|"parse_failed"|"no_urls"
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|"unsafe_xml_dtd"}
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No auth, no Google, no venv: stdlib only (urllib + xml.etree + gzip).
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Gives STEP 9's COVERAGE line the denominator it was told to print and never
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had, and STEP 5 a real sampling frame. Dedupes, strips whitespace, handles
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.xml.gz. Caps: 50 children of an index, 50k URLs, 20 MB read — each cut is
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REPORTED (children_skipped / truncated), never silent.
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• NOT a security boundary. urllib fetches these, so nothing here reaches a
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shell. The CONSUMER interpolates them into curl, so seo-analyzer runs
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lib/url-guard.sh at the point of use — same contract as the sameAs check.
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A second copy of the guard here would only drift.
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• `unsafe_xml_dtd`: a sitemap NEVER has a DTD (sitemaps.org is <?xml?> then
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<urlset xmlns=>). Any doctype/entity is refused BEFORE parsing. xml.etree
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does not expand external entities, but it IS billion-laughs-vulnerable —
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1 KB expands to gigabytes, and the 20 MB read ceiling bounds the input,
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not the expansion. Refusing the construct beats depending on parser
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internals AND keeps this stdlib-only; defusedxml would drag in a venv for
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a document type that has no legitimate DTD.
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fetch.sh rendercheck --url https://ex.com/
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→ {"status":"ok","verdict":"server-rendered"|"client-rendered"|"partial",
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"body_text_chars":7650,"h1_in_html":1,"jsonld_in_html":9,
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"meta_description_in_html":true,"html_bytes":132447,
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"warning":"…"} # warning only when not server-rendered
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R2, the honest half of the SPA call. seo-analyzer has always recorded
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`RENDERING: SSR/SSG/SPA` and never acted on it; this is the signal it acts
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on. Verdict comes from what the server SENT — package.json cannot tell a
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React SPA from a Next.js SSR app.
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• client-rendered → the agent REFUSES to score On-page (N/A, not zero: a
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zero says "your on-page is bad", N/A says "we could not see it"). Every
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curl-based meta/H1/JSON-LD check would report "missing" against a site
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that is fine once hydrated — false findings, and a bundle that "fixes"
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tags which already exist.
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• Does NOT render JS. No Playwright, no Chromium, no venv. Refusing IS the
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finding.
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• Script/style text is not page text: measured 7 chars on a React shell
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whose inline window.__INITIAL_STATE__ is large. Without that, a 200 KB
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bundle reads as a rich page.
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• Measured 2026-07-17: zenquality 7650 chars/1 h1/9 jsonld and
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lavageangels356 13973/1/1 → server-rendered; a Vite shell → 7/0/0.
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fetch.sh linkgraph --url https://ex.com/sitemap.xml [--max 500]
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→ {"status":"ok","source":"linkgraph","pages_crawled":86,"pages_failed":0,
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"total_internal_links":2015,"capped":false,"max_depth":2,
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"orphans":[…],"beyond_3_clicks":[…],"unreachable":[…]}
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→ {"status":"ok",…,"orphans_withheld":true,"reason_withheld":"crawl incomplete…"}
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→ {"status":"degraded","reason":"no_links_in_html"|"no_pages_fetched"|…}
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Answers seo-analyzer.md:613 ("reachable within 3 clicks?") and :616 ("orphan
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pages?") — asked since forever, never computed. Stdlib only (urllib +
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html.parser + urljoin), no auth. Measured: 24 pages in 2.7s, 86 in 3.8s.
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• EXHAUSTIVE OR NOTHING. Orphans cannot be sampled: proving no inbound
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link means having read every other page. If the crawl is capped or any
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page failed, orphans are WITHHELD, never truncated — a false orphan
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sends a client fixing what is not broken.
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• no_links_in_html = a JS-rendered site, not a link-less one. Every page
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would read as orphaned, so it REFUSES rather than report that. Does not
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render JS by design (see the R1/R2 arbitration).
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• Filters what a link graph must never hold: assets (seen live:
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/css/main.css?v=1778157313), #anchors, mailto:/tel:/javascript:, other
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hosts. Normalises the trailing slash so /blog and /blog/ are one node
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rather than a phantom orphan pair.
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• Mock is pages.json ({url: html}), not a single page.html: one fixture
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cannot express a graph — every node would carry identical links.
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fetch.sh score --findings <path.json | ->
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→ {"status":"ok","axes":{"technical":{"score_20":17.8,"weight":0.2,
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"weight_renormalised":0.2857,"findings":2}},
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"na":["off-page","on-page"],"weights_renormalised":true,"global_20":17.6}
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→ {"status":"error","reason":"unknown severity: 'bogus'"|"bad_findings_json"}
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I7. /harden has a real scale (SKILL.md:435: -15/-8/-3/-1, clamp [0,100]);
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/seo had none, so every axis was FELT and two runs over identical code could
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disagree — while /client-handover gates on 17/20. Same scale here, /5 into
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/20, one vocabulary across the family.
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• The split: WHICH findings exist and how severe each is stays the LLM's
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judgement. The addition is not. Same findings in, same score out.
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• affected/sampled shift severity ONE step: >=50% of the sample escalates,
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a single page de-escalates. A defect on 1 of 12 pages is not the defect
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on 12 of 12.
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• status:"na" → axis EXCLUDED, remaining weights renormalised. This is
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R2's rule (client-rendered on-page) and I1's (unauditable off-page),
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computed rather than done by hand. N/A is not a zero, and the engine
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will not let it act like one.
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• Malformed input is an error, never a silently wrong number — unlike the
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fetch verbs, a degrade here would mean bad input, not a network fact.
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fetch.sh drift --url https://ex.com/sitemap.xml [--max 500]
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→ {"status":"ok","baseline":true,"captured":"…","pages":24,"store":"…"}
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→ {"status":"ok","baseline":false,"since":"…","gone":[…],"new":[…],
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"regressions":[{"url":…,"field":"canonical","was":"…","now":null}],
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"changes":[{"url":…,"field":"title","was":"…","now":"…"}]}
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On-page drift between audits. seo-analyzer.md:1365 keeps only "date + score
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+ key changes" as PROSE the LLM writes about its own previous prose: lossy,
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unreproducible, machine-uncomparable. So "the redesign silently dropped 40
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canonicals" stays invisible. This snapshots title/description/canonical/
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robots/h1_count/jsonld_types per URL and diffs them.
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• NOT rank tracking (the common misread of this feature elsewhere).
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Positions come from GSC `queries`. This is regression detection.
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• Runs over the WHOLE sitemap, never a sample: a drift over a sample that
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changes between runs compares nothing.
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• LOSING a signal = regression. CHANGING one = change, possibly intended —
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the agent judges that, the engine only says which kind it is.
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• Store: ~/.claude/seo-data/drift/<host>.json, 0700, written via
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os.replace — never a half-written baseline. Corrupt store → treated as
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a first run rather than crashing the audit.
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fetch.sh forget --label client-a
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→ {"status":"ok","removed":true|false} # false = label wasn't in the store
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fetch.sh forget --all
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→ {"status":"ok","cleared":<n>} # n = accounts removed
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```
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Rules that hold for every subcommand:
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- **JSON always on stdout, never empty.** Even an unexpected error (HTTP
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403/5xx, timeout, DNS failure) prints
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`{"status":"degraded","reason":"unexpected_error"}` — never a raw
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traceback.
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- **`status` is `"ok"` or `"degraded"` on exit 0; `"error"` on exit 2.**
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Analyzers branch on this field; `"error"` only shows up on bad usage,
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`reason` is informational otherwise.
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- **Exit code 0 on `ok` and on `degraded`.** The engine never fails the
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process just because Google data isn't available — that's a normal,
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expected outcome the analyzer handles by falling back. **Exit code 2**
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is reserved for bad usage: unknown subcommand, missing required flag,
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invalid argument — those paths emit `{"status":"error",...}` instead.
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- **`--store` is accepted uniformly** by every subcommand for consistent
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`fetch.sh` dispatch, even though `crux` ignores it (CrUX needs no
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account).
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- **Never prints a secret.** No env var, refresh token, or access token
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ever reaches stdout or stderr, including in error paths.
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Two env vars exist for testing, never for normal use:
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`SEO_DATA_ENV_FILE` overrides which env file is sourced (tests point it at
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`/dev/null` so a real `~/.claude/.env` on the machine can never leak into a
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test run), and `SEO_DATA_DEBUG=1` re-enables stderr for local debugging
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(stderr is suppressed by default so library warnings can't leak a secret
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into an agent's context).
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## Token store
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`~/.claude/seo-data/tokens.json` — refresh tokens, keyed by the label chosen
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at `make seo-connect`, one entry per connected account:
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```json
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{
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"version": 1,
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"accounts": {
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"client-a": {
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"refresh_token": "<opaque>",
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"scopes": ["https://www.googleapis.com/auth/webmasters.readonly"],
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"granted_at": "2026-07-09T12:00:00+00:00",
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"properties": ["sc-domain:site-a.com", "https://www.site-a.com/"]
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}
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}
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}
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```
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Security posture:
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- **File `0600`, directory `0700`.** `tokenstore.save_account` re-asserts
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both permissions on every write.
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- **Written only at `connect` time, atomically.** `tmp` → `fsync` →
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`os.replace` (atomic rename), under an exclusive `fcntl` lock, so two
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simultaneous `make seo-connect` runs can't corrupt the file. Audits never
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write to this file — access tokens are exchanged in memory and never
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persisted, so two audits running concurrently never contend on it.
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- **Keyed by label, not email.** Identifying accounts by email would
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require widening the OAuth scope just for identification; the label the
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user picks at connect time is sufficient and keeps the scope at
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`webmasters.readonly` only (least privilege).
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- **Refresh tokens are redacted from `list`.** `fetch.sh accounts` (and
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`tokenstore.py list`) return label, properties, and `granted_at` only —
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the `refresh_token` field is intentionally never included in that output.
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- **Allowlisted in gitleaks.** The store lives under `~/.claude/`, outside
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this repo, so it's never committed directly — but `make scan-secrets`
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also sweeps `~/.claude` for stray copies of secrets. `.gitleaks.toml` has
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an explicit `[allowlist].paths` entry for
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`(^|/)\.claude/seo-data/tokens\.json$`, the same treatment
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`~/.claude/.env` already gets, so a legitimate local secret store doesn't
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drown real findings in false positives.
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- **Also gitignored** (`.venv-seo-data/` and `seo-data/tokens.json` in
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`.gitignore`) as a second, belt-and-suspenders guard in case a relative
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path ever put either under the repo tree.
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- **Removal is local-only.** `fetch.sh forget --label <x>` / `--all` (the
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`/seo forget` skill verb) deletes the stored refresh token — it does NOT
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revoke the OAuth grant at Google's end. For a real revocation, visit
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https://myaccount.google.com/permissions with the account concerned and
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remove the app's access; the deleted local token then becomes useless
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everywhere, including to anyone who copied it beforehand.
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## Graceful degradation
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Missing API key, no connected account, or a revoked/expired token is a
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**normal outcome, not a failure**:
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- No `CRUX_API_KEY` → `crux` returns `{"status":"degraded","reason":"no_crux_key"}`.
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- No account connected, or the store has no refresh token for the given
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`--account` → `queries`/`inspect` return
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`{"status":"degraded","reason":"no_credentials"}`.
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- Refresh token revoked at Google's end → `{"status":"degraded","reason":"token_revoked"}`
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(a transient network blip during refresh is classified
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`"network_error"` instead, so a flaky connection never forces the user
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back through OAuth).
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- Rate limited (HTTP 429) on any Google API → `{"status":"degraded","reason":"rate_limited"}`.
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In every case: **exit code 0**, valid JSON on stdout, no crash. The `/seo`
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|
FULL audit continues on the anonymous PageSpeed API (lab data) instead of
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|
CrUX field data, and the report surfaces the fix as a user action:
|
|
`make seo-connect`. `doctor.sh` also flags both non-fatally as `WARN`: a
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|
missing `CRUX_API_KEY` warns on its own, while no connected Google account
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|
is the one that names `make seo-connect`.
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|
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## Testing
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|
|
|
```bash
|
|
make test
|
|
# or, to run only this engine's suite:
|
|
bash lib/seo-data/seo-data.test.sh
|
|
```
|
|
|
|
The suite is network-free: `google_seo.py` reads fixtures from
|
|
`lib/seo-data/fixtures/` (`crux_mobile.json`, `gsc_queries.json`,
|
|
`gsc_inspect.json`) whenever `SEO_DATA_MOCK_DIR` is set, instead of calling
|
|
Google's APIs. Degradation paths run with real env vars unset (`env -u
|
|
CRUX_API_KEY`, `env -u SEO_DATA_MOCK_DIR`) to exercise the no-key/no-creds
|
|
branches deterministically. Every `fetch.sh` invocation in the tests also
|
|
sets `SEO_DATA_ENV_FILE=/dev/null` so a machine with a live
|
|
`~/.claude/.env` never lets real credentials leak into a test run.
|