skill-research-process
Builds comprehensive Claude Code skills using parallel research agents — categorization, parallel documentation gathering, anti-hallucination checkpoints, and final validation. Use when building a skill from official docs, when "research for skill" or "create comprehensive skill" is requested, or when extensive multi-source documentation gathering is needed before skill creation.
68
84%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The workflow’s Stage 2 explicitly launches research agents that use runtime web/MCP tools (e.g., `WebFetch`, `mcp__Ref__ref_read_url`, `mcp__exa__get_code_context_exa`) to read arbitrary outsider-authored documentation pages and ingest their readable text into generated `references/{category}/` content, which is then read and integrated into the agent’s LLM context during Stage 3.
- Repository
- Jamie-BitFlight/claude_skills
- Commit
c337daf
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.