authoring-schemas
authoring-schemas is a Codebase mapping & onboarding skill for AI agents, published by agentic-research in the mache repository on GitHub. Skillspace rates authoring-schemas C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Author a mache projection schema (Topology→Node→Leaf) that maps structured data or source code into a filesystem/graph. Use when creating or debugging a *-schema.json for a new data source (SQLite/JSON) or a new source language. Covers both dialects — tree-sitter S-expression selectors for code, and JSONPath selectors for data — the gotchas (@scope on inner nodes, nested $[*], _parent traversal, the .db vs JSON-walker capability split), and how to validate the result.
- 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 ('*')
- mentions secrets in text
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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