agentleFS
OmarAlex24OmarAlex24/audit-skills/skills/llm-app-review/SKILL.md

llm-app-review

Skill1 starsChanged 2 days agoLicence not identifiedView on GitHub

Read-only, line-by-line review of the code of an app that uses an LLM, treating the model as untrusted, expensive and non-deterministic. Looks for outside text reaching the prompt (direct and indirect prompt injection) and what the model does next, tools with excess permissions, model output used unvalidated, uncapped cost (unlogged retries, timeouts that do not cancel, unbounded loops), prompts asking for what the code does not do, model evaluations that are not comparable, secrets or PII sent to the provider or logs, goals met to the letter but not in intent, and provider outages passed off as valid responses. Each finding brings path:line, sequence and a concrete input. Reports and stops. Use it for "review my LLM app", "prompt injection audit", "is my agent safe with tools". Not for RAG design or model choice (architecture-review). Also triggers on Spanish requests such as "revisa el uso del LLM", "¿mi agente es vulnerable a prompt injection?" or "¿cuánto gasta mi app en el modelo?".

  • Reads credentials

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

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