pSEO Lint

Audit your pSEO site by template, not by URL.

The only tool purpose-built for programmatic SEO compliance. v0.7 shifts the unit of analysis from URL to template: when you run an audit on a 10,000-URL pSEO directory, pseolint identifies the template clusters (e.g. /listing/:slug, /category/:slug), samples K pages from each, and produces a per-template verdict + variance metric. Fix one template, fix N pages.

npx pseolint http://localhost:3000

Skills for Claude & coding agents (new)

Design pages that pass before you crawl them. The skills/ suite gives Claude (and any agent that supports the skills / Claude Code plugin format) programmatic-SEO and answer-engine optimization (AEO / GEO) guidance where every recommendation is bound to a runnable pseolint rule:

npx skills add ouranos-labs/pseolint --skill pseolint aeo

• pseolint — full-lifecycle programmatic SEO: design → build → audit → fix → gate.
• aeo — get cited in AI Overviews / ChatGPT / Perplexity, not just ranked.

Unlike prose checklists, these have teeth: the design-time advice ends in npx pseolint pass/fail. See skills/README.md.

Why this exists

Programmatic SEO works — when it works. The gap between "1,000 indexed pages" and "1,000 pages that survive a SpamBrain pass" is where most pSEO sites die. The Helpful Content Update made that gap permanent.

Existing SEO tools (Screaming Frog, Sitebulb, Ahrefs Site Audit) were built for editorially-curated sites. They check pages one at a time. But the SpamBrain risks of pSEO are between pages: doorway clusters, near-duplicates, entity-swap templates, thin-content propagation. You can't catch them with per-page rules.

pseolint audits the graph — and since v0.6, it groups results by template before surfacing them. Run it before you publish, gate it in CI, fix the broken template before SpamBrain does.

What's new in v0.6 — audit-as-template

• Per-template verdict aggregation. The worst template with ≥5% URL coverage drives the site-level headline. One broken /listing/:slug template can no longer hide behind a clean /category/:slug template.
• Per-template variance metric. Each template reports a uniformityScore (how consistently the same problems appear across sampled pages) and a topDriver (the rule that fires most across samples). "8/10 samples fail spam/thin-content" is a first-class signal, not a buried detail.
• Two-phase pipeline. Phase 1 clusters the sitemap into templates (cheap: ~T fetches). Phase 2 runs a deep audit on K pages per template. Typical budget: ~80 fetches on a 100k-URL site vs. 200 in v0.5 — and the 80 cover every template.
• Backwards compatible. Per-URL findings flat list preserved. templates is additive on AuditResult.

Design rationale: docs/superpowers/specs/2026-05-04-pseolint-v0.6-audit-as-template-reframe.md

What's new in v0.7 — render-aware checks, AI content-effort, and bring-your-own inputs

v0.7.3 (current)

• Render-aware crawl checks. --render (Playwright, Node-only) now feeds two render-diff rules. tech/csr-bailout flags pages whose substantive content / interactivity appears only after client-side JS — invisible to crawlers and the first indexing pass. tech/soft-404 probes one synthetic nonexistent URL per template cluster — an HTTP 200 means the directory will index unbounded junk. Both no-op without --render and outside programmatic directories.
• Bring-your-own authority. --authority-score <0-100> CLI flag, the authorityScore config key, the MCP param, or a per-domain Pro-dashboard setting — >= 80 shifts the verdict one tier lenient, <= 30 one tier stricter. Raw risk unchanged so CI gates stay stable. The engine stays authority-blind by design.
• AI content-effort signal. Opt-in --content-effort (needs ANTHROPIC_API_KEY) — an LLM reads sampled page text and scores 0-100 content originality/effort (cached by content hash), moderating the verdict ±1 tier. Distinct from --ai triage. Runs automatically for Pro web audits.
• MCP rule knowledge as resources — plus the open knowledge bundle served at /okf and linked from llms.txt.

v0.7.2 — graded thresholds + presence-quality

• Four rules moved from binary cliffs to continuous banded severity, so the verdict no longer flips on a one-page crawl-size change: spam/boilerplate-ratio, spam/template-diversity, content/value-add, content/wikipedia-paraphrase. Four rules now validate quality, not mere presence: schema/required-fields, schema/json-ld-valid (accepts @type arrays), tech/og-completeness, content/eeat-signals. schema/consistency no longer false-positives on multi-template sites.

v0.7.1 — false-positive elimination

• content/unique-value redesigned from absolute word count to rarity density. Config change: rules.uniqueValueMinWords → rules.uniqueValueDensity: { passBelow, errorBelow }. FP fixes + severity demotions across links/orphan-pages & links/cluster-connectivity (suppressed on sampled crawls), tech/canonical-consistency & tech/sitemap-completeness (URL normalization + crawl-scope awareness), and aeo/crawler-access (honors robots Allow per RFC 9309).

v0.7.0 — calibration & authority foundations

• Pluggable authority-moderation scaffolding (fail-safe no-op by default), a checkOriginHealth pre-flight origin probe (so a crawl can't crush a fragile origin), and an internal score-vs-outcome calibration harness. The web /limits page documents the off-page-authority blind spot.

Per-package READMEs (@pseolint/core, pseolint, @pseolint/mcp) carry the depth.

How pseolint differs

• Graph-level, not page-level. Detects near-duplicate clusters, doorway patterns, and entity-swap doorways across thousands of pages. Per-page tools can't see these.
• SpamBrain + AI Overview. 48+ rules across 8 categories — SpamBrain-policy mapping (penalty risk) plus aeo/* (AI Overview citability: llms.txt, AI-crawler access, citable facts, answer-first, summary-bait).
• Developer workflow, not SaaS UI. CLI, GitHub Action, JSON/HTML reports, MCP server, browser extension (SERP competitive recon). Lives in your repo and your PRs.
• Actionable, not advisory. Every finding has a fix, an effort tag (quick fix / moderate / structural), and a Google docs reference.
• Safe for hosted use. SSRF guard (DNS-validated), robots.txt honoured for our own crawler, analytics-blocking in render mode, AbortSignal cancellation, safeMode: "saas" preset for embedding in services.
• Calibrated against reputable pSEO (v0.5.2). Engine verdicts are calibrated against a curated corpus of in-production pSEO sites that demonstrably win in search. Doorway-pattern findings cluster (no more per-pair noise); verdicts are reproducible at a fixed sampleSeed. Dated snapshot results, the open-source corpus, and the trade-offs we accepted live at pseolint.dev/methodology. Spec: docs/superpowers/specs/2026-05-03-calibration-against-reputable-pseo.md.
• Authority-blind by design, with a manual override. pseolint analyses static content + the link graph it can see. It does NOT measure backlinks, brand mentions, domain age, or any external trust signal — there is no Moz/Ahrefs/Semrush dependency. This means the engine itself is calibrated for the authority tier of the calibration corpus (established brands). It exposes authorityScore (0-100, via the --authority-score CLI flag, the core API, or the MCP param) so callers can adjust the verdict ladder for their tier: >= 80 shifts one tier lenient (established brand can absorb shapes a newer site can't); <= 30 shifts one tier stricter. Raw risk number unchanged so CI gates stay stable. Without the flag, treat verdicts as a directional minimum.
• Honest about blind spots. Beyond domain authority, pseolint does not currently detect: Core Web Vitals (LCP/INP/CLS), image SEO (alt-text, dimensions), Open Graph completeness, title-tag uniqueness, H1 structure, schema-content drift (e.g. JSON-LD price ≠ rendered price), outbound-link health, search-intent alignment, parameter-URL crawl-budget waste, and a handful of specialty gaps (mobile-friendliness, cookie-banner detection, AMP/News/Video schema). The complete blind-spot audit lives at docs/superpowers/specs/2026-05-03-pseolint-blind-spots.md — every gap categorized by impact tier with the roadmap fix.

What's new in v0.5.2 — credibility layer (v0.7.3 is current)

• 4 new content-quality rules addressing the v0.5.1 blind-spot audit's tier-1 gaps:
  • content/title-uniqueness — empty/missing titles, very-short or excessive-length titles, and pages sharing the exact title (raw, not entity-masked, so catalog templates with per-record entity values still pass).
  • content/heading-structure — <h1> presence, single-<h1> discipline, and <h2> sub-structure on long pages.
  • content/image-alt-text — <img> tags missing alt (decorative images marked role="presentation" / aria-hidden="true" / explicit alt="" are skipped).
  • tech/og-completeness — the long-promised OG-tag rule that finally ships.
• AuditOptions.authorityScore (0-100; core API, MCP audit_site, or — since v0.7.3 — the --authority-score CLI flag) — bring-your-own domain authority. >= 80 shifts the verdict ladder one tier lenient (established brand can absorb shapes a newer site can't); <= 30 shifts one tier stricter. Raw risk number unchanged so CI gates that key off --ci-threshold stay stable. The engine itself remains authority-blind by design — no Moz/Ahrefs/Semrush dependency.
• Calibration-driven scoring profile — site-classifier-aware severity demotions for AEO + EEAT rules on catalog/template-driven sites. The unclear profile (low classifier confidence) now demotes structurally-incompatible rules conservatively rather than firing them at full strength. Result: reputable pSEO sites no longer false-positive into concerning.
• spam/doorway-pattern cluster collapse — 276 per-pair findings on a heavy-template catalog now collapse to one cluster line in the report.
• spam/doorway-pattern content-quality gate — requires thin-content OR identical-meta as the third signal; structural similarity alone (which all catalogs have) no longer constitutes a doorway finding.
• Sample-seed determinism — AuditOptions.sampleSeed (mulberry32 PRNG) makes verdicts reproducible across runs for CI gates and calibration.
• Info-severity bucket cap — cumulative info contribution caps at 50 per category bucket separately from warning+ at 100. A flood of info findings can no longer tank the verdict on its own.
• tech/hreflang-consistency — sample-size-aware reciprocity check; defensive parsing.
• normalizeAuditUrl defensive at the source — single malformed <link> no longer aborts an audit.
• BackpressureMonitor thresholds raised — gate fits real production CDNs (4× baseline, 8000ms p95) instead of tripping on normal load variance.
• links/unreachable-from-root skips on partial-sample audits — sampling artifact, not real graph isolation.
• Markdown formatter collapses informational findings behind <details> so PR comments don't drown actionable items in 100+ info bullets.

The full per-round iteration story is in docs/superpowers/specs/2026-05-03-calibration-against-reputable-pseo.md, including a transparent trade-offs section documenting what got more lenient (borderline-quality sites that classify as unclear may now score one verdict-ladder rung lower than before — caution → ready on wordpress.com and expatistan in the dogfood corpus).

What's new in v0.3.x

• AEO rule category (v0.3.0) — 8 rules that detect AI Overview invisibility: llms-txt, crawler-access (blocks for GPTBot/ClaudeBot/PerplexityBot/etc.), freshness-signals, faq-coverage, answer-first, citable-facts, content-modularity, summary-bait. Scoring re-weighted; new AEO: AI Overview Readiness console section.
• Render-mode analytics blocking (v0.3.1) — rendered audits previously fired every GA/Plausible/PostHog/Mixpanel/Hotjar/Sentry beacon on every page. Now blocks ~40 analytics hosts by default. --analytics / --block-host flags, allow-first-party option.
• SSRF guard + AbortSignal + robots honour (v0.3.2) — DNS-validated private-range check on every fetched URL, integer/hex-IP bypass protection, redirect re-validation, honoured target robots.txt Disallow directives (with UA-specific parsing), clean ctrl-C / programmatic cancel via AbortSignal, new public API: validateTargetHost, SSRFError, DnsResolutionError.
• safeMode preset + safeFetch (v0.3.3) — one-knob safety posture for hosts. safeMode: "saas" flips guardSsrf + tightens caps + keeps robots honour on; safeMode: "cli" keeps local-friendly defaults. safeFetch(url) is an SSRF-safe fetch for non-audit use cases. maxCrawlDiscovered ceiling caps link-discovery fan-out. followRedirects: false option.
• Diff-mode audits (v0.3.0) — mode: "diff" skips corpus-scoped rules so daily re-audits of changed pages don't re-run clustering / link-graph / sitemap checks.

See CHANGELOG.md for the full list.

Quick Start

# Point it at your local dev server — that's it
npx pseolint http://localhost:3000

Automatically discovers all pages by following internal links. No sitemap, no config, no build step needed.

# Save a visual report
npx pseolint http://localhost:3000 --format html --output report.html

# Audit a live site (per-template output is the default)
npx pseolint https://yoursite.com

# CI gate on build output
npx pseolint ./out --ci-threshold concerning --format json

Per-template output (v0.6 default)

Verdict: CONCERNING
Integrity C · Discoverability B · Citation C · Data A

Per-template breakdown (3 templates):

  /listing/:slug  CONCERNING  C
  10/8201 URLs (0.1%)  uniformity 85%
  8/10 samples fail `spam/thin-content`

  /category/:slug  READY  A
  10/312 URLs (3.2%)  uniformity 94%

  /help/:slug  CAUTION  B
  10/47 URLs (21.3%)  uniformity 78%
  3/10 samples fail `content/missing-author`

--format json includes the templates array alongside the existing findings list:

{
  "verdict": "concerning",
  "risk": 60,
  "templates": [
    {
      "signature": "/listing/:slug",
      "totalUrls": 8201,
      "auditedUrls": ["https://example.com/listing/foo", "..."],
      "verdict": "concerning",
      "risk": 60,
      "variance": {
        "uniformityScore": 0.85,
        "topDriver": { "ruleId": "spam/thin-content", "fireRate": 0.8 }
      }
    },
    { "signature": "/category/:slug", "verdict": "ready", "risk": 12 }
  ],
  "findings": [...]
}

Use --legacy-flat to suppress the template cards and get the v0.5-style flat findings list.

Partial coverage (truncated)

If the crawl is interrupted — e.g. the backpressure watchdog aborts because the origin is degrading — pseolint still emits whatever it collected, flagged as partial:

{
  "verdict": "ready",
  "risk": 12,
  "truncated": true,
  "truncatedReason": "Origin degraded mid-crawl (p95 latency exceeded threshold)",
  "pageCount": 42
}

When truncated is true, treat pageCount, risk, and verdict as lower bounds — a partial pass is not a full pass. The CLI prints a PARTIAL REPORT banner and exits non-zero; the GitHub Action warns (and can fail with fail-on-truncated: true); the MCP tools and web report surface the same flag. Programmatic consumers should branch on it. The full output contract is published as a JSON Schema (packages/core/schemas/audit-summary.schema.json, $id carries the schemaVersion).

Audit Modes

Why localhost is recommended: Build directories contain framework artifacts (Next.js [slug].html shells, empty client-rendered pages) that produce false positives. Your dev server renders the actual pages Google will see — with canonicals, meta tags, and full content.

What It Checks

44 rules across 8 categories (all 8 scored), producing a weighted SpamBrain Risk Score (0-100) and an independent AEO sub-score for AI Overview citability:

SpamBrain Risk Detection

Content Quality

Internal Linking

Technical SEO

Data Consistency

Structured Data

Cannibalization

cannibal/title-overlap and cannibal/keyword-collision were dropped in v0.4 due to high false-positive rates on legitimately similar pages (e.g. localized variants, paginated archives). See the v0.4 redesign spec §4.3.

AEO — AI Overview Readiness (v0.3.x)

Live URL Scanning

When you point pseolint at a URL, it captures what Google sees:

• HTTP metadata — status codes, redirect chains, X-Robots-Tag, Link headers
• Crawl discovery — follows internal links from the start page to find all crawlable pages
• Sitemap comparison — if a sitemap exists, compares it against crawl-discovered pages

# Just give it your homepage — it discovers everything
npx pseolint https://paperforge.dev

Page Groups

Different page types need different standards. Configure groups in pseolint.config.ts:

export default {
  pageGroups: {
    pseo: {
      match: '/templates/**',
      rules: ['spam/*', 'content/*', 'links/*', 'cannibal/*', 'tech/*', 'schema/*'],
      overrides: {
        'spam/thin-content': { thinContentMinWords: 500 },
      }
    },
    listing: {
      match: ['/documents', '/templates'],
      rules: ['tech/*'],
    },
    marketing: {
      match: ['/', '/about', '/pricing'],
      rules: ['tech/*'],
    },
    utility: {
      match: ['**/404*', '**/500*'],
      rules: [],  // skip entirely
    }
  }
};

Each group gets its own score. Unmatched pages get all rules.

SpamBrain Risk Score

The risk score (0–100) aggregates rule penalties into 4 super-categories — Integrity (spam + content + cannibal), Discoverability (links + tech), Citation (aeo + schema), and Data — with site-type-aware weights, so a programmatic directory and a docs site are each scored against the rule weighting that matches their archetype. Since v0.6, scoring runs per template and rolls up to a site verdict: the worst-scoring template that covers ≥5% of the audited URLs.

The score maps to a 4-rung verdict ladder, and CI gates on the verdict (--ci-threshold, default concerning) — not a raw numeric band:

See pseolint.dev/methodology for the calibrated weights and verdict thresholds.

Actionable Output

Findings are automatically enriched before display:

• Pairwise clustering — Thousands of near-duplicate pair comparisons collapse into a handful of cluster findings: "48 pages form a near-duplicate cluster (86–94% similar)."
• Content breakdown — Each cluster shows what's shared vs. unique: "Shared: description of property (31w), buyer acknowledges (35w). Unique: 3324w of 8140w."
• Effort tags — Every finding is tagged quick fix, moderate, or structural so you know where to start.
• Template detection — When the tool detects template-generated content, fix suggestions speak to template authors: "Add conditional content sections per entity."

CLI Options

Usage: pseolint [options] [command] [source]

Arguments:
  source                         URL or directory path to audit

Output
  -f, --format <type>            Output format: console | json | markdown | html (default: console)
  --ci-threshold <severity>      Min verdict that fails CI: ready|caution|concerning|critical (default: concerning)
  -t, --threshold <n>            [deprecated] Numeric risk threshold; use --ci-threshold instead
  -o, --output <file>            Write report to file instead of stdout
  --no-color                     Disable colored output

Crawl / fetch
  --concurrency <n>              Max parallel HTTP fetches (default: 5)
  --timeout <ms>                 Per-request timeout in ms (default: 30000)
  --no-crawl                     Disable crawl-based page discovery for URL sources
  --ignore <patterns>            Comma-separated glob patterns to exclude
  --render                       Render pages in a browser before auditing
  --browser-ws <url>             CDP WebSocket endpoint for browser rendering

Sampling
  --sample-size <n>              Audit N pages (default: 0 = all)
  --strategy <random|stratified> Sampling strategy (default: stratified)
  --max-per-template <n>         Cap samples per URL template cluster (default: 0)

Template output (v0.6)
  --per-template                 Render per-template cards above the findings list (default: ON)
  --template <signature>         Filter output to a single template, e.g. /listing/:slug
  --legacy-flat                  Suppress template cards; print the v0.5-style flat findings list

Cache & monitoring
  --cache [dir]                  Enable HTTP cache (default: .pseolint/cache)
  --cache-ttl <duration>         TTL for entries without validators, e.g. 7d, 1h, 30m (default: 7d)
  --state [path]                 Enable state persistence (default: .pseolint/state.json)
  --mode <monitoring|fresh>      v0.5+ change-driven monitoring mode. Auto-monitoring is the
                                 default when prior state exists. Use 'fresh' to force a full
                                 re-audit even with prior state.
  --age-floor-days <n>           v0.5+ minimum days since a URL's last fetch before monitoring
                                 forces a re-fetch regardless of other signals (default: 7)
  --since                        v0.5+ alias for --mode=monitoring (kept for back-compat)
  --exit-on-regression           Exit non-zero when new rule IDs fire vs prior --state

Data
  --data-source <file>           JSON file with source data for content-verification rules

AI triage (opt-in)
  --ai                           Enable AI triage of findings
  --ai-provider <id>             anthropic | openai | google | mistral | groq | xai | cohere | ollama
  --ai-model <name>              Model name (overrides provider default)
  --ai-endpoint <url>            AI endpoint (Ollama only; default: http://localhost:11434)
  --ai-max-tokens <n>            Input token cap per triage call (default: 60000)
  --ai-max-cost <usd>            Refuse a triage call whose pre-flight cost exceeds this USD
  --ai-daily-budget <usd>        Refuse triage when today's total spend would exceed USD (requires --telemetry)
  --ai-cache-ttl <duration>      Triage cache TTL, e.g. 30d, 12h, 60s (default: 30d)
  --no-ai-cache                  Bypass AI triage cache for this run
  --no-ai-suggest                Suppress AI discovery hint in non-AI runs

Telemetry (local, offline)
  --telemetry                    Enable local telemetry write (.pseolint/telemetry.jsonl)
  --telemetry-path <file>        Override telemetry JSONL path
  --no-telemetry-prompt          Suppress the y/n/skip triage feedback prompt
  --triage-feedback <rating>     Non-interactive feedback: helpful | unhelpful | y | n

MCP
  --mcp                          Start as an MCP server (for AI coding assistants)

Commands:
  stats                          Show aggregate telemetry stats from .pseolint/telemetry.jsonl
  stats-export <outPath>         Copy telemetry JSONL to <outPath> for manual review/sharing

Caching & change-driven monitoring (v0.5)

# First run: populates .pseolint/cache and .pseolint/state.json with full baseline
npx pseolint https://yoursite.com --cache --state

# Subsequent runs auto-enter monitoring mode. The decision matrix decides which
# URLs to fetch BEFORE the network round-trip:
#   - new URL                         → fetch (reason: new)
#   - prior fetch ≥ 7 days old        → fetch (reason: age)
#   - ruleset version bumped          → fetch (reason: ruleset)
#   - prior warning/error finding     → fetch (reason: recheck) — info findings carry forward
#   - sitemap <lastmod> newer         → fetch (reason: lastmod)
#   - none of the above + lastmod present → SKIP (carry findings forward)
npx pseolint https://yoursite.com --cache --state

# Force a full re-audit even with prior state
npx pseolint https://yoursite.com --cache --state --mode=fresh

# Lower the age-floor for tighter monitoring (default: 7 days)
npx pseolint https://yoursite.com --cache --state --age-floor-days=3

# CI gate that fails when a *new* rule ID starts firing on actually-fetched URLs
npx pseolint https://yoursite.com --cache --state --exit-on-regression

Sites whose sitemaps emit <lastmod> (Next.js, Yoast/WordPress, Astro) get the biggest savings — typically ~95% fewer fetches on steady-state monitoring runs. Sites without <lastmod> hit no-signal and refetch every URL; bandwidth is still saved via cache.ts conditional GETs but round-trips aren't skipped (a HEAD-fallback path is on the roadmap).

End-of-run summary line:

Monitoring: 47/4012 URLs re-scraped (recheck=23, lastmod=12, age=8, new=4), 3965 carried forward.

AI triage

Turns hundreds of findings into a handful of ranked root causes. Opt-in, bring-your-own API key, with cost guardrails:

# Auto-detect provider from env (ANTHROPIC_API_KEY, OPENAI_API_KEY, etc.)
npx pseolint https://yoursite.com --ai

# Pin provider + model, cap spend
npx pseolint https://yoursite.com --ai \
  --ai-provider anthropic \
  --ai-model claude-haiku-4-5 \
  --ai-max-cost 0.50

# Local-only (Ollama, no network cost)
npx pseolint https://yoursite.com --ai --ai-provider ollama --ai-model qwen2.5:7b

# Enforce a daily spend ceiling across runs (requires telemetry)
npx pseolint https://yoursite.com --ai --telemetry --ai-daily-budget 5.00

Every call prints a pre-flight cost estimate before hitting the provider. Cache hits don't count against the daily budget.

Local telemetry & stats

Telemetry is local JSONL only — zero network, counts + spend + feedback ratings. Off by default.

npx pseolint https://yoursite.com --ai --telemetry
npx pseolint stats              # show your success rate, spend, feedback ratio
npx pseolint stats-export out.jsonl  # copy log for manual inspection

Browser Rendering

For client-rendered sites (React SPAs, Next.js app router), use --render to capture the fully rendered DOM:

# With a remote CDP endpoint (Browserless, etc.)
PSEOLINT_BROWSER_WS=wss://your-browser:3000 npx pseolint https://yoursite.com --render

# With local Playwright
npm install playwright-core
npx playwright install chromium
npx pseolint https://yoursite.com --render

Works with any CDP-compatible browser. Remote endpoints must use wss://.

GitHub Action

name: pSEO Lint
on: [pull_request]

jobs:
  audit:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: '20' }
      - run: npm run build
      - uses: ouranos-labs/pseolint/packages/action@action-v1
        with:
          source: ./out
          threshold: 40

Posts a score summary as a PR comment and fails the check if score exceeds the threshold.

Output Formats

npx pseolint https://yoursite.com                  # Colored terminal (default)
npx pseolint https://yoursite.com --format json    # CI-friendly JSON
npx pseolint https://yoursite.com --format markdown # PR comments / docs
npx pseolint https://yoursite.com --format html    # Self-contained visual report

Monorepo

Development

bun install
bun run build
bun run test     # 1,203 tests across 126 files (core)

License

MIT (packages) / AGPL-3.0 (apps/web)