ai-retrieval-audit
Measures whether the site is answerable, extractable, semantically aligned, and citation-ready for AI search and retrieval systems.
Skill by Haloninja2605
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/haloninja2605-ai-retrieval-audit
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ai-retrieval-audit
What's inside
- Skill name
ai-retrieval-audit- Description
- Measures whether the site is answerable, extractable, semantically aligned, and citation-ready for AI search and retrieval systems.
- License
- MIT
- Instructions
- 37 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# AI Retrieval Audit ## Goal Assess whether a page can be turned into answerable, reliable, citeable information for modern AI retrieval systems. ## Checks - answerability - evidence density - query-intent alignment - FAQ and definition coverage - content extractability from text and structure - image-only fact risk - semantic clarity of product and service explanations ## Typical findings - page is low in answerability - evidence density is weak - content is poorly aligned to likely queries - key facts are only in images - page is verbose but not factual ## Evidence to collect - headings and direct-answer blocks - definitions and FAQs - product features and specifications - pricing and comparison content - extractable business statements ## Decision rule A page should not be considered citation-ready if the core facts are vague, hidden, inconsistent, or not structured for extraction.
From Haloninja2605/Adobe_Hackathon, MIT.
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- 0.521score
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freshness-trust-audit
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Evaluates how current, consistent, and corroborated a website's key facts are, and whether those facts are supported by trustworthy evidence.
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crawl-access-audit
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Audits machine reachability, crawlability, robots exposure, sitemap coverage, canonical consistency, and access health of a website.
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audit-orchestrator
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Orchestrates the full website AI-readiness and engagement audit, coordinates sub-skills, aggregates evidence, and produces the final report.
SkillBFreshness: BClaude Code +9 - 0.521score
render-content-audit
Haloninja2605
Compares raw HTML versus rendered DOM to detect JavaScript-driven content gaps, hidden facts, and machine-invisible business information.
SkillBFreshness: BClaude Code +9 - 0.518score
recommendation-engine
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Converts audit findings into mechanism-based, prioritized fixes and recommended actions grounded in evidence.
SkillBFreshness: BClaude Code +9 - 0.518score
engagement-ux-audit
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Evaluates on-site orientation, navigation clarity, conversion flow, accessibility, and user journey quality.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 1, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Haloninja2605/Adobe_Hackathon
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Haloninja2605
- 0.521score
semantic-entity-audit
Haloninja2605
Extracts and validates entity identity, schema metadata, and semantic coherence across visible content and structured data.
SkillBFreshness: BClaude Code +9 - 0.521score
freshness-trust-audit
Haloninja2605
Evaluates how current, consistent, and corroborated a website's key facts are, and whether those facts are supported by trustworthy evidence.
SkillBFreshness: BClaude Code +9 - 0.521score
crawl-access-audit
Haloninja2605
Audits machine reachability, crawlability, robots exposure, sitemap coverage, canonical consistency, and access health of a website.
SkillBFreshness: BClaude Code +9 - 0.521score
audit-orchestrator
Haloninja2605
Orchestrates the full website AI-readiness and engagement audit, coordinates sub-skills, aggregates evidence, and produces the final report.
SkillBFreshness: BClaude Code +9 - 0.521score
render-content-audit
Haloninja2605
Compares raw HTML versus rendered DOM to detect JavaScript-driven content gaps, hidden facts, and machine-invisible business information.
SkillBFreshness: BClaude Code +9 - 0.518score
recommendation-engine
Haloninja2605
Converts audit findings into mechanism-based, prioritized fixes and recommended actions grounded in evidence.
SkillBFreshness: BClaude Code +9
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Cite this page
ai-retrieval-audit skill. Agent Mart. https://agentmart.dev/skills/haloninja2605-ai-retrieval-audit (last updated 2026-10-24)