Analyzes a completed PR to extract lessons learned from agent behavior. Use after any PR with agent involvement - whether the agent failed, succeeded slowly, or succeeded quickly. Identifies patterns to reinforce or fix, and generates actionable recommendations for instruction files, skills, and documentation.
64
75%
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Low
Low-risk findings worth noting
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tessl review fix ./.github/skills/learn-from-pr/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
This skill’s required workflow uses `gh pr view ... --json title,body,files` and `gh pr diff ...`, which pull outsider-authored PR/issue free-text (discussion body/comments and diff content) into runtime analysis passed to the agent’s LLM—creating an indirect prompt-injection risk.
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