Build a new Nemesis file enrichment module end-to-end with explicit user approval gates for output mode, library choice, sample files, and integration testing.
73
60%
Does it follow best practices?
Impact
99%
1.41xAverage score across 3 eval scenarios
Risky
Do not use without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./.agents/skills/enrichment-module-builder/SKILL.mdSecurity
2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Insecure credential handling detected (high risk: 1.00). The skill explicitly instructs extracting credentials/tokens from files and to run E2E tests that query and report findings (including raw_data/findings), which requires the LLM to handle and potentially output secret values verbatim, creating an exfiltration risk.
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's required workflow explicitly directs the agent to search and ingest content from public PyPI and GitHub (Step 3: "Search PyPI" / "Search GitHub") and to acquire sample files from public GitHub and sample-file websites (Step 4), which are untrusted, user-generated sources that the agent must read/interpret to choose libraries and test files that will materially influence implementation and actions.
432d081
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.