Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
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43%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./.claude/skills/auto-research/SKILL.mdSecurity
2 findings — 2 medium severity. 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.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.
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.
Potentially malicious external URL detected (high risk: 0.80). 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.
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