friction-review
friction-review is a Non-code artifact review skill for AI agents, published by ThibautBaissac in the rails_ai_agents repository on GitHub. Skillspace rates friction-review D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-axis adversarial review using friction engineering. Routes a spec, plan, ADR, service design, schema, or any design artifact through 5 specialized reviewers with explicit prohibitions. Each reviewer tags positions as [sound], [contestable], [blind_spot], or [refuted]. Returns a consolidated friction report for human arbitration before implementation begins. Use when reviewing feature specs, architecture decisions, service designs, database schemas, or any artifact where hidden assumptions must be surfaced. WHEN NOT: code already written (use code-review), routine CRUD with no design decisions, quick one-off questions, or post-implementation reviews.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 663
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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