repomix
Guide for using Repomix - a powerful tool that packs entire repositories into single, AI-friendly files. Use when packaging codebases for AI analysis, generating context for LLMs, creating codebase snapshots, analyzing third-party libraries, or preparing repositories for security audits.
80
Quality
77%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./claude/skills/repomix/SKILL.mdSecurity
2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.
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: 1.00). The SKILL.md explicitly supports "Remote Repository Support" with examples like "npx repomix --remote https://github.com/owner/repo" and use cases such as packaging third‑party libraries, which means the skill fetches and ingests public GitHub (user‑generated) repositories as part of its workflow—allowing that external content to influence packaging/analysis and subsequent agent actions.
W012: Unverifiable external dependency detected (runtime URL that controls agent)
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
Potentially malicious external URL detected (high risk: 1.00). Repomix explicitly supports fetching remote repositories at runtime (e.g., "npx repomix --remote https://github.com/owner/repo"), and those fetched repository files are packaged and injected into LLM context—meaning the remote URL can directly control model prompts.
- Repository
- einverne/dotfiles
- Commit
b1b2fe0
- Audited
- Security analysis
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.