freeshard-research-methodology
freeshard-research-methodology is an Engineering planning & specs skill for AI agents, published by FreeshardBase in the freeshard repository on GitHub. Skillspace rates freeshard-research-methodology D (64/100) and it passed the safety scan; the rating is based on static analysis only.
The discipline that turns a hunch into an accepted result in the Freeshard project — evidence bar, idea lifecycle, documented retirement, where good ideas come from, and which artifact to write when. TRIGGER on "how do I propose X", "should I spike this", "is this hypothesis proven", "why did they reject/close/abandon Y", "where do ideas get decided", writing a root-cause analysis, closing an investigation, deciding between spike branch vs issue vs PR, or handling a vague issue. SKIP when you need the mechanics of the change pipeline (gates, review, release — use freeshard-change-control), the chronicle of a specific past investigation (use freeshard-failure-archaeology), or concrete measurement recipes (use freeshard-proof-and-analysis-toolkit).
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 47
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- 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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