irule-review
irule-review is an Application security skill for AI agents, published by bitwisecook in the tcl-lsp repository on GitHub. Skillspace rates irule-review D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Security and safety review of an F5 iRule. Combines LSP static analysis (security, taint, thread safety diagnostics) with deep analysis of input validation, information leakage, race conditions, and DoS vectors. Use when reviewing iRule security, auditing F5 iRule safety, performing iRule penetration testing, or checking iRule code for vulnerabilities.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 56
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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