lamprey-research-frontier
lamprey-research-frontier is an Engineering planning & specs skill for AI agents, published by USS-Parks in the lamprey repository on GitHub. Skillspace rates lamprey-research-frontier D (64/100) and it passed the safety scan; the rating is based on static analysis only.
The two open problems where Lamprey could advance the state of the art — the cheap-model harness thesis (harness engineering makes budget models perform like frontier models) and safe local autonomy (unattended desktop loops with hard ceilings and full local audit) — with why current SOTA fails, this repo's specific assets, the first three concrete steps for each, and falsifiable "you have a result when…" milestones. Load when planning research-flavored work or deciding what is worth proving next.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 60
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
- MIT
- 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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