Systematic process for building comprehensive Claude Code skills using parallel research agents. Triggers on "research for skill", "build skill from docs", "create comprehensive skill", or when needing to gather extensive documentation from official sources before skill creation.
95
Quality
95%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
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.
Third-party content exposure detected (high risk: 0.90). The skill explicitly instructs research agents to fetch and read public web pages, documentation URLs, GitHub repos/issues, and web search results (see SKILL.md Stage 2 and references/agent-prompts.md and references/mcp-tools.md which list WebFetch, mcp__Ref__ref_read_url, mcp__exa__web_search_exa, WebSearch, and GitHub CLI), so untrusted third-party content is ingested and used to drive agent outputs and actions.
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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.