render-and-content-audit
Compares initial HTML with JS-rendered expectations to identify content only available after client-side hydration, which may be missed by AI assistants.
Skill by mahinigam
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-render-and-content-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: frontend, security, writing
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/render-and-content-audit
What's inside
- Skill name
render-and-content-audit- Description
- Compares initial HTML with JS-rendered expectations to identify content only available after client-side hydration, which may be missed by AI assistants.
- 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)
# Render and Content Audit ## When to use Use this skill to detect if critical facts, entity information, or core content relies heavily on JS to be visible to search engines and AI assistants. ## Inputs - `AuditContext` containing sampled pages. ## Procedure 1. Extract visible text from the raw HTTP (initial HTML) response to serve as the baseline. 2. Utilize Bounded Simulated Headless Rendering (e.g., via `Playwright` or simulated extraction) to extract post-hydration text. 3. Compare the baseline text to the post-hydration text. 4. Estimate if the initial HTML lacks meaningful content (e.g. text-to-code ratio is extremely low, presence of `<div id="root"></div>` with no other content). 5. Generate findings if critical facts or entity information rely entirely on JS-dependent rendering. ## 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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Cite this page
render-and-content-audit skill. Agent Mart. https://agentmart.dev/skills/mahinigam-render-and-content-audit (last updated 2026-10-24)