requirements-grounding
requirements-grounding is a Requirements & PRDs skill for AI agents, published by l-gevity in the l-gevity-skills repository on GitHub. Skillspace rates requirements-grounding D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Grounds proposed requirements in a real actor-bound problem, explicit scope, authoritative sources, evidence, assumptions, priority, and validation confidence. Use when defining or sharpening a problem, extracting obligations or stakeholder needs, separating facts from interpretations and hypotheses, writing solution-free requirement candidates, deciding what belongs in scope, reverse-engineering provisional requirements from existing code, tests, schemas, configuration, public interfaces, documentation, or history, or determining whether requirements are ready for dependency modeling. Do not use for graph construction or implementation planning except to prepare their inputs.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- 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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