frontier
frontier is a Multi-agent review & consensus skill for AI agents, published by apoorvjain25 in the frontier repository on GitHub. Skillspace rates frontier C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Execute any task at frontier quality. Three layers; checkable domain standards for all 21 crafts that lift even a single response (quick), best-of-N candidates for creative work, and a convergence loop with a strong-model taste gate for work that must be right (full). Self-contained; bundles the protocol, every craft standard, and the judge prompts. Standards distilled from the frontier tier (Claude Fable 5). Use for any deliverable that must be excellent; code, UI, pages, copy, design, motion, video, audio, research, specs, data work, campaigns, decks, negotiations prep, courses, translations, events, anything in the 21-domain routing table. Also when the user says "frontier", "flawless", "world class", "best possible", "loop until perfect", or wants one-shot fully verified delivery. Optional argument names the deliverable and a mode.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 77
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
- 94 / 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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