ai-landing-context-audit
Assesses on-site engagement quality when a user lands on the page from an AI citation, ensuring context continuity and intent match.
Skill by mahinigam
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/mahinigam-ai-landing-context-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
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ai-landing-context-audit
What's inside
- Skill name
ai-landing-context-audit- Description
- Assesses on-site engagement quality when a user lands on the page from an AI citation, ensuring context continuity and intent match.
- License
- MIT
- Instructions
- 19 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (2)
- SKILL.md
- audit.py · scripts/
SKILL.md (first lines)
# AI Landing Context Audit ## When to use Use this skill to determine if the destination URLs cited by an AI assistant preserve the user's context and help them continue their journey without high recovery cost. ## Inputs - `AuditContext` containing sampled pages and their HTML content. ## Procedure 1. Check if the page `<title>` and main heading (`<h1>`) clearly identify the subject the user is landing to see. 2. Simulate an AI answering a specific claim and verify that the exact claim text passes the early-page visibility proxy (using a character-index threshold in the visible text) rather than being buried. 3. Detect generic routing (e.g., redirecting all deep links to the homepage) or disruptive full-page modals. 4. Check for clear navigation or next-step actions. 5. Generate findings if the landing context is poor or breaks continuity. ## Output Appends Findings to the `AuditContext`.
From mahinigam/skill-marketplace, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 9, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mahinigam/skill-marketplace
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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SkillBFreshness: BClaude Code +9 - 0.522score
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Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
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- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
ai-landing-context-audit skill. Agent Mart. https://agentmart.dev/skills/mahinigam-ai-landing-context-audit (last updated 2026-10-24)