authoring-smell-rules
authoring-smell-rules is a Codebase audits & code health skill for AI agents, published by agentic-research in the mache repository on GitHub. Skillspace rates authoring-smell-rules C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Add a find_smells rule to mache — a SQL query over the projected code graph that surfaces a code smell (duplication, complexity, dead code, drift). Use when adding or debugging a SmellRule in cmd/smell_rules.go or an external $MACHE_SMELL_RULES_DIR rule. Covers the SmellRule struct, the standalone-vs-_ast table capability split, severity/polarity, tags, and the adversarial-fixture test discipline.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 41
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
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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