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网站设计、搜索与 AI 可见性综合审计|简诗 AI

围绕“网站设计、搜索与 AI 可见性综合审计”提供具体执行方法,涵盖渠道选择、受众触达、转化跟踪和效果优化。

person作者: user_fccf428bhubcommunity

stardust:audit

One URL in. One scored, evidence-bound audit out.

audit looks at an existing website from three perspectives — design (brand tensions + concrete improvement opportunities), SEO/technical, and LLM/AI-search visibility — measures Core Web Vitals, and synthesizes everything into a seven-dimension scorecard plus a prioritized findings ledger that tells the owner what to improve to generate a better business outcome. The report is also the natural seed for a redesign: its findings feed stardust:uplift's improvements list and stardust:direct's Phase 2.5, and it closes with uplift-shaped redesign directions so "run stardust:uplift" is the obvious next step.

Opinionated defaults

  • Multi-page by defaultstardust:extract <url> --cap 8 (home + seven IA pillars) unless --single or --pages overrides.
  • Non-interactive — the audit never asks questions. Every assumption it makes instead is recorded in audit.json#assumptions and stated in the report's executive summary.
  • Evidence-bound — every claim cites a measurement, a T-* tension id, a check result, or a screenshot observation. A claim with no citation does not ship.
  • No fabricated data — a measurement that could not be taken is reported as not measured (<reason>), never estimated silently. An estimate, where reasoned, is labeled as one with its basis.
  • Graceful degradation, not failure — optional capabilities (refero, marketing-skills, modern-web-guidance, PageSpeed Insights) are probed once and their absence is recorded, never fatal. See § Degradation ladder.

Inputs

  • <url> — required. The site to audit. A path narrows the crawl to that subtree (extract's semantics).
  • --pages <n> — optional. Override the default 8-page extraction cap (passed through as --cap <n>).
  • --single — optional. One-page audit of the given URL only. The cross-page checks (duplicate titles, sitemap coverage, CTA fragmentation across pages) then run on a single page and say so.
  • --deploy — optional. After the report renders, publish report.html as a single self-contained page via the DA transport (../deploy/da-deploy-protocol.md: source PUT → preview → live) and print the delivered URL. Transport only — the report never goes through deploy's section→block conversion, which would decompose the self-contained file.
  • --benchmark — optional. Force Phase 5 reference benchmarking: probe the refero MCP even when the earlier capability probe was slow or ambiguous. Without this flag Phase 5 fires only when the probe succeeds quickly.

There are no other flags. Everything else is derived from the captured surface or governed by the underlying skills' contracts.

Phase 0 — Setup

  1. Run the master skill's setup (../stardust/SKILL.md § Setup) — with one audit-specific carve-out: impeccable absence is a degradation here, not the master setup's hard stop. When the dep check fails, record impeccable: unavailable in audit.json#degradations and continue — Phase 2 runs without the critique/audit arms (VISION pass + accessibility fold-in still fire) and Phase 6 skips the report render; the run ends at stop condition (b) after audit.json is written.
  2. Extraction freshness check. If stardust/current/ holds an extraction of the same origin less than 7 days old — origin from stardust/state.json (the site record extract stamped), recency from the newest pages/<slug>.json#_provenance.fetchedAt — reuse it and record site.extraction.reused: true. Otherwise invoke stardust:extract <url> --cap 8 (or --single / --pages <n> per the inputs). Extract owns the crawl, the screenshots, _brand-extraction.json, pages/<slug>.json, PRODUCT.md / DESIGN.md, and brand-review.html with its Tensions section.
  3. Probe optional capabilities once, recording each outcome in the degradation record (audit.json#degradations):
    • marketing-skills plugin (seo-audit, ai-seo skills present?)
    • modern-web-guidance (npx -y modern-web-guidance@latest search "<query>" responds?)
    • refero MCP (attempt mcp__refero__refero_search_styles; treat a tool-not-found or timeout as unavailable)
    • PageSpeed Insights API (network-reachable without a key?)
    • rollout project (stardust/rollout/rollout.json present?)

If extract fails entirely (site unreachable, bot-management block past the headed-Chrome fallback), stop and surface extract's error verbatim — there is nothing to audit. This is the only hard stop before synthesis; see § Stop conditions.

Procedure

Phase 1 — Brand surface & tension analysis

Read stardust/current/_brand-extraction.json and stardust/current/brand-review.html § Tensions surfaced (rule catalog in ../extract/reference/brand-review-template.md § Tensions). Every fired T-* tension is candidate evidence for a finding — carry the ids forward, do not re-derive the detections.

Compute the four brand-expression measurements the report needs. Each lands in audit.json#measurements with status + method per reference/report-format.md:

  • brandColorShare — brand-color share of painted pixels on the captured home screenshot. Preferred method: Playwright pixel sampling (method: "pixel-sample") — load the screenshot, sample a grid (e.g. every 8th pixel), classify each sample to the nearest palette entry within a tolerance, and divide brand-hue samples by painted (non-white/near-white) samples. When sampling is infeasible in the session, a reasoned estimate from the captured surfaces is allowed but must ship as method: "surface-estimate" with its basis — never presented as measured.
  • ctaFragmentation — distinct CTA labels per equivalence bucket, aggregated from pages/*.json#ctas[].label (the same buckets that drive T-cta-vocab).
  • typeScale — distinct heading sizes and scale kind/ratio from _brand-extraction.json#type.scaleAudit.
  • radiusSprawl — distinct border-radius values with occurrence counts from _brand-extraction.json#motifs.borderRadius.

Phase 2 — Design & experience critique

Three passes over the captured home page (screenshot + live URL), folded into one set of design findings:

  1. impeccable critique + audit. Invoke via the Skill tool using the delegation mechanic in ../prototype/SKILL.md § Invoking impeccable (Skill { skill: "impeccable:impeccable", args: "critique <target>" }, then "audit <target>" for the accessibility / responsive / performance passes). Normalize its findings into the audit's finding shape.
  2. VISION pass. Study the captured screenshots directly (stardust/current/assets/screenshots/<slug>.png) and name what a design director would: dated patterns the field has moved past, hierarchy failures, missed opportunities the captured surface doesn't capitalize on. The claim discipline is absolute — every observation cites a measurement, a tension id, or a screenshot region ("home.png, hero: three equal-weight CTAs compete"). Adjectives without evidence do not become findings.
  3. Accessibility fold-in. Contrast computed (WCAG ratios for the captured palette pairs in the roles they are actually used in), alt coverage from pages/*.json#media.images, landmark presence and heading order from pages/*.json#landmarks, content-free link labels (reuse T-link-content-free when fired).

Phase 3 — SEO & technical

When the marketing-skills plugin is installed, follow marketing-skills:seo-audit's methodology and normalize its issue/impact/evidence/fix items into findings. When absent, run the checks directly — they are all curl/Playwright-derivable:

| area | checks | method | |---|---|---| | Crawlability | robots.txt present and sane; sitemap declared and valid XML | curl | | Indexation | canonical present and self-referential; meta robots not accidentally noindex; http→https single-hop redirect; redirect chains | curl -I | | Semantics | main/nav/footer landmarks; single <h1>; heading hierarchy without skips | pages/.json + Playwright | | Metadata | title/description presence + quality per page; duplicates across pages; Open Graph completeness | pages/.json#metadata | | Structured data | JSON-LD presence, parse validity, entity types vs page type | Playwright / curl |

Where a failure matches a rollout:baseline check id (../rollout/reference/checks.md: single-h1, title-missing, meta-description, canonical, sitemap, jsonld, img-alt, landmark-main, duplicate-title), reuse that id as the finding's evidence.ref (check:<id>) — findings recorded into a rollout ledger under a known id get picked up by the AEM autofix registry automatically.

Core Web Vitals. Measure LCP / CLS / TBT via Playwright performance APIs (PerformanceObserver for largest-contentful-paint and layout-shift, longtask entries for TBT) on two viewports: mobile (375×667, CPU throttled where the session supports it) and desktop (1440×900). When the PageSpeed Insights API is network-reachable without a key, prefer it and record method: "psi-api" (it adds field INP); otherwise record method: "playwright-lab" and say in the measurement note that lab TBT is a proxy for INP. Classify every metric against the Google thresholds tabled in reference/scoring.md § performance.

Remediation guidance. When modern-web-guidance is installed, run npx -y modern-web-guidance@latest search "<specific failure>" for each distinct failure class and cite the returned guide ids in the finding's guides[]. When absent, write the generic remediation and leave guides: [].

Phase 4 — LLM visibility

When marketing-skills:ai-seo is installed, follow its methodology. When absent, assess directly:

  • llms.txt — present at the origin root?
  • Answerability — does each audited page answer the question a user would ask of it ("what does this cost", "what is this") in extractable, well-structured prose — and how early on the page?
  • schema.org coverage — do the JSON-LD entities cover the organization plus the page-type entities an answer engine needs for entity understanding?
  • Heading-as-question coverage — what share of h2/h3 map to askable questions or scannable topics rather than slogans?
  • Content depth — extractable prose word counts on key pages; specific, citable claims vs thin marketing copy.
  • Key facts in crawlable text — are pricing, what-it-is, and who-it's-for stated in crawlable text, or locked in images and JS-rendered widgets?

Every Phase 4 finding names the concrete fix ("state the three price points in the pricing table as text; they currently render only inside the plan-card images"), not a category ("improve content").

Phase 5 — Reference benchmarking (optional)

Fires when the refero MCP tools are reachable — the Phase 0 probe attempted mcp__refero__refero_search_styles; --benchmark forces a re-probe. Skip gracefully when unavailable (benchmarks: { status: "skipped", reason: … }).

When available: retrieve 2–3 same-vertical reference styles, compare the audited site's brand expression (Phase 1 measurements) against what best-in-class in the category does, and cite each reference — title, URL, one line on what they do better — in the relevant design findings and in audit.json#benchmarks.references.

Phase 6 — Synthesis & report

  1. Scorecard. Score the seven dimensions per reference/scoring.md — anchors first, evidence floor enforced, not-measured dimensions nulled and renormalized. Compute the weighted overall.

  2. Findings. Consolidate Phases 1–5 into the prioritized ledger: P1 (actively losing business or excluding users) / P2 (material drag) / P3 (polish). Per finding: dimension, evidence (measurement / tension / screenshot / check / benchmark citation), businessImpact one-liner, concrete fix, guides[].

  3. Uplift directions. Close with 2–3 redesign directions framed exactly like uplift's variant role contract (../uplift/SKILL.md § The three-variant role contract): A faithful + fixes (names the findings it resolves), B one captured-but-underused trait amplified, C cinematic (motion as identity, register suggested per ../prototype/reference/motion-registers.md § Selection heuristic). Drop B when the captured surface can't support a differentiated middle — two strong directions beat three weak ones.

  4. Write stardust/audit/<domain-slug>/audit.json — schema, slug convention, and measurement rules in reference/report-format.md Part 1. Provenance _provenance first key.

  5. Render stardust/audit/<domain-slug>/report.html by delegating to $impeccable craft with the brief in reference/report-format.md Part 2 — the same Skill-tool mechanic as prototype, and the same rule: never hand-template the report. Run the post-render validation checklist; on failure re-invoke craft with the specific violation. Open the result with open stardust/audit/<domain-slug>/report.html.

  6. Ledger recording (rollout projects only). When stardust/rollout/rollout.json exists, record each finding into the delivery ledger via node skills/rollout/scripts/findings.mjs record with source namespace audit:--source audit:<dimension>, --layer from the mapping below, severity carried through, --fixability normalized per ../rollout/reference/audit-sources.md § Recording an external finding. Write each returned id into the finding's ledgerId.

    | audit dimension | ledger layer | |---|---| | brand-expression | brand-tensions | | visual-hierarchy-craft | design-ux | | conversion-focus | content-conversion | | accessibility | accessibility | | technical-seo | seo (site-wide: cross-page) | | content-llm-visibility | ai-search | | performance | seo |

  7. --deploy. When passed, publish report.html via the DA transport per ../deploy/da-deploy-protocol.md — PUT the file as a single source, POST preview, POST live, verify the delivered URL returns 200 — and print the delivered URL. Transport only; never run deploy's section→block conversion on the report.

  8. Chat summary. Short — the work is on disk and openable:

    audit complete — <url>
    
    Site health: <overall>/100
      <dimension>: <score>   × 7 (not-measured dimensions listed with reasons)
    
    Findings: <n> P1 · <n> P2 · <n> P3
    Top lever: <the single highest-impact P1, one line>
    
    Report: stardust/audit/<domain-slug>/report.html
    Data:   stardust/audit/<domain-slug>/audit.json
    
    Next: run stardust:uplift <url> — the report's closing directions
    are its variant briefs.
    

Degradation ladder

Probed once in Phase 0; every degradation is recorded in audit.json#degradations and rendered in the report's methodology appendix. None of these stops the audit.

| capability absent | behavior | |---|---| | refero MCP | skip Phase 5; benchmarks.status: "skipped" with reason | | marketing-skills | run the Phase 3 / Phase 4 checks directly (tabled above) | | modern-web-guidance | generic remediation text; guides: [] | | PageSpeed Insights | Playwright-only lab metrics; measurement note says lab TBT proxies INP | | Playwright pixel sampling infeasible | brandColorShare ships as method: "surface-estimate" with basis | | rollout project | no ledger recording; ledgerId: null on every finding |

Hard constraints

  • No fabricated data. A measurement that could not be taken is not measured (<reason>) in both artifacts. Estimates are labeled with method + basis. This is the same discipline extract enforces against synthesis (../extract/SKILL.md § Failure modes) — fabricated audit numbers are worse than missing ones because they are actionable-looking and wrong.
  • Evidence discipline. Every finding cites observable evidence: a measurement key, a T-* tension id, a screenshot region, a check id, or a benchmark URL. Uncited claims are cut in synthesis.
  • Report is craft-rendered. report.html is authored by $impeccable craft against the brief in reference/report-format.md, validated afterward — never hand-templated, never hand-patched.
  • Provenance is mandatory on both artifacts, per ../stardust/reference/artifact-map.md § Provenance shapes.
  • Non-interactive. No questions in normal flow; assumptions are stated in the report. The only stops are the two below.
  • Audit does not fix. Fixes belong to uplift (page redesign), direct Phase 2.5 (improvements list), and rollout's optimize loop (platform autofix). Audit names the fix; it never edits the site.

Stop conditions

Stop and surface only if:

(a) Extract fails entirely — site unreachable, structure unparseable, bot-management block past the headed-Chrome fallback. Surface extract's error verbatim; nothing to audit. (b) impeccable unavailable — Phase 2's critique/audit arms and Phase 6's report render require it. Per the Phase 0 carve-out, the run continues in degraded mode (VISION pass, SEO/technical, LLM visibility, benchmarks all still fire) and writes audit.json; then stop and tell the user the designed report needs the impeccable plugin — deliver the data, not a hand-templated substitute.

Everything else degrades per the ladder; the audit never stops for confirmation in normal flow.

Outputs

stardust/
├── current/                             ← from extract (reused when <7 days old)
│   ├── _brand-extraction.json
│   ├── brand-review.html                ← Tensions section = Phase 1 input
│   ├── pages/<slug>.json
│   └── assets/screenshots/<slug>.png    ← VISION-pass + report evidence figures
└── audit/
    └── <domain-slug>/                   ← hostname, www-stripped, dots → dashes
        ├── audit.json                   ← scorecard, measurements, findings[], provenance
        └── report.html                  ← craft-rendered, self-contained

stardust/rollout/optimize/findings.json  ← appended via findings.mjs (rollout projects only)

Audit writes no state.json entries — extraction state belongs to extract; audit's own artifacts are self-describing via provenance. Re-running audit against a fresh extraction overwrites stardust/audit/<domain-slug>/; ledger recordings dedupe by the ledger's own id hash.

Scope

  • Audits and prescribes; never modifies the site or its redesign artifacts.
  • One origin per run. Auditing a competitor set is N runs.
  • The natural continuations: stardust:uplift <url> (the closing directions are its variant briefs), stardust:direct (findings feed the Phase 2.5 improvements list), rollout's optimize loop (ledger findings with known check ids autofix on AEM).

References

  • reference/scoring.md — the seven dimensions, weights, observable anchors at 40/70/90, scoring procedure.
  • reference/report-format.mdaudit.json schema (Part 1) and the report.html craft brief + post-render validation (Part 2).
  • ../extract/SKILL.md — crawl, capture, brand-surface extraction; § Failure modes for the anti-synthesis discipline.
  • ../extract/reference/brand-review-template.md § Tensions — the T-* detector catalog Phase 1 carries forward.
  • ../prototype/SKILL.md § Invoking impeccable — the Skill-tool delegation mechanic reused for critique (Phase 2) and the report render (Phase 6).
  • ../rollout/reference/audit-sources.md — the findings-ledger normalization rules (severity, fixability) Phase 6 applies.
  • ../rollout/reference/checks.md — baseline check ids to reuse so AEM autofix picks the findings up.
  • ../rollout/scripts/findings.mjs — the ledger writer (record).
  • ../uplift/SKILL.md § The three-variant role contract — the frame for the closing uplift directions.
  • ../prototype/reference/motion-registers.md § Selection heuristic — register suggestion for direction C.
  • ../direct/SKILL.md § Phase 2.5 — the improvements list audit findings feed on a subsequent redesign.
  • ../deploy/da-deploy-protocol.md — the DA transport behind --deploy (source PUT → preview → live; no block conversion).
  • ../stardust/SKILL.md § Setup — master-skill setup run in Phase 0.
  • ../stardust/reference/artifact-map.md — provenance shapes.

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