squirrelscan
Indexé dans Registry
audit-website
Audit a website with the squirrelscan CLI and fix the findings in code. Runs SEO, performance, security, technical, content, accessibility, and 15 other rule categories (260+ rules), returns an LLM-optimized report, then drives an iterative fix loop, mapping issues to source file
Vue d’ensemble
Audit a website with the squirrelscan CLI and fix the findings in code. Runs SEO, performance, security, technical, content, accessibility, and 15 other rule categories (260+ rules), returns an LLM-optimized report, then drives an iterative fix loop, mapping issues to source files, applying fixes, and re-auditing until the site scores well. Use to discover and assess website or webapp issues and drive them to fixed.
Lire la documentation complète
Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.
Audit a Website and Fix It
Run a squirrelscan audit against a website, read the LLM report, map each issue to the code or content that causes it, fix in batches, and re-audit until the score target is met.
Requires the squirrel CLI (squirrelscan.com/download; verify with squirrel --version). For CLI setup, login, publishing, MCP, and general CLI usage, use the companion squirrelscan skill.
Rule docs
Look up any rule at https://docs.squirrelscan.com/rules/{rule_category}/{rule_id}, for example:
https://docs.squirrelscan.com/rules/links/external-links
Running the audit
squirrel audit https://example.com --format llm
- Use
--format llm: it is compact, exhaustive, and made for agents. - If the user doesn't provide a URL, ask which site to audit.
- Prefer auditing the live site: only there do you see true rendering, performance, and redirect behavior. If both a local dev server and a live site exist, suggest the live one; apply the fixes to the local code either way.
- Audits are cached locally. Re-render later without recrawling:
squirrel report <audit-id> --format llm.
Scan progression
- First pass, quick coverage (the default): a fast, shallow scan to learn the site's structure, technology, and biggest problems without impacting the site.
- Second pass, deeper coverage:
-C surface(one page per URL pattern) for template-level coverage, or-C fullfor a comprehensive crawl before sign-off.
| Mode | Default pages | Use |
|---|---|---|
quick | 25 | First look, CI checks |
surface | 100 | Template-level coverage (one sample per pattern like /blog/{slug}) |
full | 500 | Final verification, deep analysis |
Useful flags: --refresh (ignore cache, full re-fetch), --resume (continue an interrupted crawl), -m <n> (page cap), --verbose (progress detail).
If the site blocks unknown crawlers (Shopify / Cloudflare), pass Web Bot Auth headers with repeated -H "Name: Value" flags. Header values are secrets and are redacted in output. See https://docs.squirrelscan.com/guides/web-bot-auth
The fix loop
- Present the report: score, grade, top issues by severity.
- Propose fixes: list the issues you can fix and confirm with the user before changing anything.
- Map issues to source: find the template, component, or content file behind each finding.
- Fix in batches: apply the approved fixes.
- Re-audit (use
--refreshafter deploys or content changes) and show before/after scores. - Repeat until the target is met or only judgment calls remain (for example "should this link be removed?"). Flag those for user review instead of guessing.
After each batch, verify the project still builds and existing checks pass.
Score targets
| Starting score | Target | Expected work |
|---|---|---|
| < 50 (F) | 75+ (C) | Major fixes |
| 50-70 (D) | 85+ (B) | Moderate fixes |
| 70-85 (C) | 90+ (A) | Polish |
| > 85 (B+) | 95+ | Fine-tuning |
Sign off against a -C full crawl, since the quick pass samples only part of the site.
Rules carry a level (error, warning, notice) and a rank (1-10): fix errors first, then high-rank warnings. Findings that need a content edit count the same as ones that need a code edit. Broken links usually need a human decision (remove, replace, or keep): flag them rather than guessing.
Verifying regressions
Compare against a baseline to prove improvement or catch regressions:
squirrel report --diff <baseline-audit-id> --format llm
squirrel report --regression-since example.com --format llm
Completion
Done means: all errors fixed; warnings fixed or documented as needing human review; a re-audit confirms the improvement; and the user has seen the before/after score comparison plus a summary of every change made. Re-audit regularly to keep the site healthy. If the user wants to share results, offer a published report (see the squirrelscan skill).
Report format
The LLM report is a compact XML/text hybrid optimized for token efficiency: summary with health score, issues grouped by category with affected URLs, broken links, and prioritized recommendations. Full spec: OUTPUT-FORMAT.md
Métadonnées du fichier
name: audit-website description: Audit a website with the squirrelscan CLI and fix the findings in code. Runs SEO, performance, security, technical, content, accessibility, and 15 other rule categories (260+ rules), returns an LLM-optimized report, then drives an iterative fix loop, mapping issues to source files, applying fixes, and re-auditing until the site scores well. Use to discover and assess website or webapp issues and drive them to fixed. license: See LICENSE file in repository root compatibility: Requires squirrel CLI installed and accessible in PATH metadata: author: squirrelscan version: "2.1" allowed-tools: Bash(squirrel:*) Read Edit Grep Glob
Voir le texte original
---
name: audit-website
description: Audit a website with the squirrelscan CLI and fix the findings in code. Runs SEO, performance, security, technical, content, accessibility, and 15 other rule categories (260+ rules), returns an LLM-optimized report, then drives an iterative fix loop, mapping issues to source files, applying fixes, and re-auditing until the site scores well. Use to discover and assess website or webapp issues and drive them to fixed.
license: See LICENSE file in repository root
compatibility: Requires squirrel CLI installed and accessible in PATH
metadata:
author: squirrelscan
version: "2.1"
allowed-tools: Bash(squirrel:*) Read Edit Grep Glob
---
# Audit a Website and Fix It
Run a squirrelscan audit against a website, read the LLM report, map each issue to the code or content that causes it, fix in batches, and re-audit until the score target is met.
Requires the `squirrel` CLI ([squirrelscan.com/download](https://squirrelscan.com/download); verify with `squirrel --version`). For CLI setup, login, publishing, MCP, and general CLI usage, use the companion `squirrelscan` skill.
## Rule docs
Look up any rule at `https://docs.squirrelscan.com/rules/{rule_category}/{rule_id}`, for example:
https://docs.squirrelscan.com/rules/links/external-links
## Running the audit
```bash
squirrel audit https://example.com --format llm
```
- Use `--format llm`: it is compact, exhaustive, and made for agents.
- If the user doesn't provide a URL, ask which site to audit.
- Prefer auditing the live site: only there do you see true rendering, performance, and redirect behavior. If both a local dev server and a live site exist, suggest the live one; apply the fixes to the local code either way.
- Audits are cached locally. Re-render later without recrawling: `squirrel report <audit-id> --format llm`.
### Scan progression
1. **First pass, quick coverage** (the default): a fast, shallow scan to learn the site's structure, technology, and biggest problems without impacting the site.
2. **Second pass, deeper coverage**: `-C surface` (one page per URL pattern) for template-level coverage, or `-C full` for a comprehensive crawl before sign-off.
| Mode | Default pages | Use |
|------|---------------|-----|
| `quick` | 25 | First look, CI checks |
| `surface` | 100 | Template-level coverage (one sample per pattern like `/blog/{slug}`) |
| `full` | 500 | Final verification, deep analysis |
Useful flags: `--refresh` (ignore cache, full re-fetch), `--resume` (continue an interrupted crawl), `-m <n>` (page cap), `--verbose` (progress detail).
If the site blocks unknown crawlers (Shopify / Cloudflare), pass Web Bot Auth headers with repeated `-H "Name: Value"` flags. Header values are secrets and are redacted in output. See https://docs.squirrelscan.com/guides/web-bot-auth
## The fix loop
1. **Present the report**: score, grade, top issues by severity.
2. **Propose fixes**: list the issues you can fix and confirm with the user before changing anything.
3. **Map issues to source**: find the template, component, or content file behind each finding.
4. **Fix in batches**: apply the approved fixes.
5. **Re-audit** (use `--refresh` after deploys or content changes) and show before/after scores.
6. **Repeat** until the target is met or only judgment calls remain (for example "should this link be removed?"). Flag those for user review instead of guessing.
After each batch, verify the project still builds and existing checks pass.
### Score targets
| Starting score | Target | Expected work |
|----------------|--------|---------------|
| < 50 (F) | 75+ (C) | Major fixes |
| 50-70 (D) | 85+ (B) | Moderate fixes |
| 70-85 (C) | 90+ (A) | Polish |
| > 85 (B+) | 95+ | Fine-tuning |
Sign off against a `-C full` crawl, since the quick pass samples only part of the site.
Rules carry a level (error, warning, notice) and a rank (1-10): fix errors first, then high-rank warnings. Findings that need a content edit count the same as ones that need a code edit. Broken links usually need a human decision (remove, replace, or keep): flag them rather than guessing.
## Verifying regressions
Compare against a baseline to prove improvement or catch regressions:
```bash
squirrel report --diff <baseline-audit-id> --format llm
squirrel report --regression-since example.com --format llm
```
## Completion
Done means: all errors fixed; warnings fixed or documented as needing human review; a re-audit confirms the improvement; and the user has seen the before/after score comparison plus a summary of every change made. Re-audit regularly to keep the site healthy. If the user wants to share results, offer a published report (see the `squirrelscan` skill).
## Report format
The LLM report is a compact XML/text hybrid optimized for token efficiency: summary with health score, issues grouped by category with affected URLs, broken links, and prioritized recommendations. Full spec: [OUTPUT-FORMAT.md](references/OUTPUT-FORMAT.md)
Examiner la source
Prix et coûts d’utilisation
- Obtenir le skill
- Prix non confirmé
- L’utiliser
- Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
- Licence
- See LICENSE file in repository root
- Prix non confirmé
- Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.
Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →
Source à réexaminer
La source a changé ou sa synchronisation a échoué. Vérifiez-la avant installation.
Réviser avant installation: Éviter l’installation automatique
Licence: See LICENSE file in repository root
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill requires the squirrel CLI to be installed and accessible in PATH, but does not provide installation instructions within SKILL.md (only a link).
- The license is referenced as 'See LICENSE file in repository root' rather than explicitly stated, which may be less clear for some users.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 87 GitHub stars
- Stars/forks activity: 87 stars, 10 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.
Commencer par une petite tâche
- 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
- 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
- 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.
Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.
Source et conseils d’utilisation
Répertorié
Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.
- Dépôt source
- squirrelscan/skills
- Licence
- See LICENSE file in repository root
- Version
- 1.0.0
- Dernier push GitHub
- 6 sept. 2026
- Registre mis à jour
- 6 oct. 2026
- Chemin des instructions
- skills/audit-website/SKILL.md @ f4219bcd69da
Version déclarée dans le registre ; vérifiez les versions de la source.
Qualité
63/100
Prometteur
Confiance
54/100
Do not auto-install
Audit
71/100
Revue nécessaire
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill requires the squirrel CLI to be installed and accessible in PATH, but does not provide installation instructions within SKILL.md (only a link).
- The license is referenced as 'See LICENSE file in repository root' rather than explicitly stated, which may be less clear for some users.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 87 GitHub stars
- Stars/forks activity: 87 stars, 10 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Résultats
- —
Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.
Accès agent
L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.
Plus de détails
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"skill": {
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"description": "Audit a website with the squirrelscan CLI and fix the findings in code. Runs SEO, performance, security, technical, content, accessibility, and 15 other rule categories (260+ rules), returns an LLM-optimized report, then drives an iterative fix loop, mapping issues to source files, applying fixes, and re-auditing until the site scores well. Use to discover and assess website or webapp issues and drive them to fixed.",
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}
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"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, shell or command execution",
"documentation": "Strong README/SKILL.md context",
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"label": "No agent outcome data yet"
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"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"security",
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"Quality score needs review",
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"GitHub adoption: 87 GitHub stars",
"Stars/forks activity: 87 stars, 10 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
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"agent_proven": {
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"label": "Needs first agent run",
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"metrics": {
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"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
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"The license is referenced as 'See LICENSE file in repository root' rather than explicitly stated, which may be less clear for some users.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 87 GitHub stars",
"Stars/forks activity: 87 stars, 10 forks; issue activity unavailable in current metadata"
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"safety_gate": {
"tier": "blocked",
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"supply": {
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"High-risk permission hints: Shell or command execution, Secrets or environment access",
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"Permission surface may require sandboxing",
"The license is referenced as 'See LICENSE file in repository root' rather than explicitly stated, which may be less clear for some users.",
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"Trust: 62/100 Manual review",
"Audit: 71/100 Needs review",
"Safety: 31/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
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"api": "https://www.openagentskill.com/api/agent/skills/squirrelscan-audit-website",
"audit": "https://www.openagentskill.com/skills/squirrelscan-audit-website/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=squirrelscan-audit-website&task=Use%20audit-website%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20audit-website%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20audit-website%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/squirrelscan-audit-website/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/squirrelscan-audit-website"
}
}Pour le créateur
Source de la fiche
Indexé par Registry
Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.
- Créateur
- squirrelscan
- Source
- squirrelscan/skills
- Indexé par
- Index communautaire OpenAgentSkill
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