bidirectional-differential
bidirectional-differential is a Plan & work review gates skill for AI agents, published by jszmajda in the lid repository on GitHub. Skillspace rates bidirectional-differential C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Audit coherence across an arrow of intent by running two parallel fresh Claude sessions — one reconstructs code from a single EARS, the other reconstructs the EARS from stripped code — then classifies the drift between them. Use when the user invokes /differential-audit, asks to audit EARS-to-code drift for a feature or segment, wants a differential round-trip on a specific spec, or reaches Phase 6 code-complete in linked-intent-dev with arrow-maintenance overlay present and a touched-EARS set to consider. Surfaces intent that the code encodes but the EARS doesn't state, and requirements the EARS states but the code under-pins. Requires docs/arrows/ overlay. Heavy per-EARS cost in subprocess spawns and Anthropic API spend; scope via the opening conversation before running.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 86
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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