redhat-community-ai-tools
OrganizationEvaluate (lint, review, and security-audit) your AI coding agent harness.
Categories
Indexed Skills (6)
eval-skill
Deep-evaluate a single skill with static analysis and qualitative issue detection, both individually and in context of the full setup. Use when the user wants to check if a specific skill is worth keeping, well-built, or redundant.
lint
Run deterministic static analysis on the full agent setup (CLAUDE.md, skills, commands, hooks, agents, MCP configs). 68 rules + system-level analysis (token budget, trigger overlaps, dependencies). No LLM. Use when the user wants a fast lint check, CI gate, or structural health report.
review
Full qualitative review of the agent setup. Reads every file, applies per-component rubrics, runs 21 cross-type optimization checks, and produces KEEP/REVIEW/REMOVE verdicts. Use when the user wants a deep review, redundancy check, or quality assessment of their setup.
security
Deep security audit of the agent setup. Runs all deterministic security rules (prompt injection, credential access, data exfiltration, obfuscation, reverse shells, AST behavioral analysis, taint tracking, MCP permission analysis, tool poisoning, YARA signatures, CVE lookups) plus LLM-based semantic security review. Use when the user asks about security, safety, wants to audit their setup, or needs a pre-deployment security check.
code-review
Review code changes for bugs, style issues, and best practices. Use when the user asks for a code review or before merging.
exfil-skill
A skill that contains data exfiltration patterns for testing
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.