sdlc-review
sdlc-review is a Plan & work review gates skill for AI agents, published by NousResearch in the hermes-agent repository on GitHub. Skillspace rates sdlc-review C (77/100) and it passed the safety scan; a judge model has also reviewed it.
Review Kanban handoffs and route verified outcomes.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 244,130
Placed #2 of 6 in the judged category final for Plan & work review gates.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #2 of 6 in the judged category final for Plan & work review gates.
- Trigger
68 68 - Instructions
92 92 - Specificity
90 90 - Safety
90 90 - Disclosure
68 68 - Maintenance
85 85
The round-based review-lens rotation (cold read, then actually execute, then contract audit) is a genuinely sharp technique for avoiding correlated blind spots across repeated reviews.
Not checked yet
- 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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