auto-research
Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
55
62%
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Low
Low-risk findings worth noting
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tessl review fix ./.claude/skills/auto-research/SKILL.mdLow
Low-risk findings.
2 low severity findings. 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 SKILL.md explicitly requires agents to perform WebSearch/WebFetch and to read public, user-generated sources (e.g., "WebFetch", GitHub READMEs/issues, Twitter/X threads, Discord/forum discussions" in the Phase 2 Research Methodology and the "Emerging tech" thread), and the agent must interpret those sources to drive research outputs and recommendations, so untrusted third‑party content can materially influence tool use and decisions.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill explicitly instructs agents at runtime to WebSearch/WebFetch GitHub repos and read READMEs/issues (e.g., https://github.com / raw.githubusercontent.com), meaning fetched external content is injected into the agent context and can directly control prompts/outputs.
- Repository
- huytieu/COG-second-brain
- Commit
dfbf9e9
- Audited
- Security analysis
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