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reasoning-trace-optimizer

Debug and optimize AI agents by analyzing reasoning traces. Activates on 'debug agent', 'optimize prompt', 'analyze reasoning', 'why did the agent fail', 'improve agent performance', or when diagnosing agent failures and context degradation.

82

Quality

81%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Security

1 medium severity finding. This skill can be installed but you should review these findings before use.

Medium

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

Third-party content exposure detected (high risk: 0.90). This skill's workflows and examples (e.g., examples/03_full_optimization.py and the README/SKILL.md) explicitly define and use web_search and read_url tools to fetch and read public URLs (Anthropic/OpenAI/arXiv links shown), and those fetched, untrusted third‑party page contents are analyzed and used to drive optimization decisions and prompt changes, enabling indirect prompt injection risk.

Report incorrect finding
Repository
muratcankoylan/Agent-Skills-for-Context-Engineering
Audited
Security analysis
Snyk

Is this your skill?

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.