lamprey-research-methodology
lamprey-research-methodology is a Structured reasoning & decision frameworks skill for AI agents, published by USS-Parks in the Lamprey-Harness repository on GitHub. Skillspace rates lamprey-research-methodology D (65/100) 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 Lamprey — the evidence bar (one mechanism explains all observations including negatives, and survives refutation), numbers predicted before running, the full idea lifecycle from hunch to adopted change or documented retirement, and where good ideas historically came from. Load when starting any investigation or improvement effort, or when tempted to act on a hypothesis that hasn't earned it yet.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 60
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 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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