Root-cause analysis of one AQuA insight against the observed agent's own source code. Use when a message names an insight and asks what the root cause is, how to fix it, why the agent behaved that way, or to diagnose a failure -- for example `Diagnose insight <id> ("<label>") — what is the root cause, and how would you fix it?`. Reads the source snapshot at the revision the failure ran on, plus the complete conversations behind the insight, and answers with `<path>:<start>-<end>` citations, and records the proposed fix against the insight.
92%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Low
Low-risk findings worth noting
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.
The workflow reads user conversation trajectories and feedback insights from an AQuA service, which contain outsider-authored user messages and inputs.
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.