Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A skill creator that proves its skills work. Evidence-driven skill creation for Claude Code and Codex: baseline-tested generation, per-skill regression evals, ecosystem doctor, cross-runtime compile, and an opt-in proactive advisor.
| Date | Stars |
|---|---|
| 2026-07-31 | 810 |
| 2026-08-03 | 844 |
| 2026-08-06 | 844 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
35.0
growth rate 0.00%/day
# SkillForge v6 **A skill creator that proves its skills work.** SkillForge routes any skill-related request (use, improve, create, compose), creates new skills through an evidence-driven pipeline, and maintains the health of your whole skill ecosystem. Its core principle: **skill quality is a property of behavior, not documents** - a skill is done when a fresh agent demonstrably does better with it than without it. ## What v6 changed (and why) v6 is a ground-up rework following a deep external audit (see `SKILLFORGE_AUDIT.md` on the repo, not shipped with the skill). The headline shifts: | v5 | v6 | |---|---| | 4-agent "unanimous synthesis panel" reads the skill | Skills are **executed**: baseline (RED) runs before writing, with-skill (GREEN) runs after, behavioral delta is the gate | | Self-scored "timelessness >= 7" approval | Falsifiable checks moved to lint (`validate_skill.py`); one adversarial reviewer refutes what lint can't catch | | 5,049-word SKILL.md with `<details>` "progressive disclosure" | 1,158-word SKILL.md; depth lives in `references/` loaded on demand | | Descriptions = "what this skill does" | Descriptions = trigger conditions only (workflow summaries make agents skip the body) | | launchd background advisor that analyzed `/` and queued into a file nothing read | Advisor delivered through Claude Code hooks (SessionStart + UserPromptSubmit), caps enforced, opt-in | | Personal-directory scanning on by default, hardcoded GitHub handles | Personal Context strictly opt-in with recorded consent; no shipped defaults | | Hand-rolled YAML parser that failed SkillForge's own SKILL.md | One shared typed parser (`scripts/frontmatter.py`), 100+ unit tests, and a regression test that SkillForge validates itself | | Index missed the Claude Code plugin cache entirely | Cross-runtime discovery: personal, Codex, Claude Code plugin cache; deduped; auto-refresh | ## The pipeline ``` Phase 0 TRIAGE index + word-boundary matching -> USE | IMPROVE | CREATE | COMPOSE | CLARIFY Phase 0b RED GATE fresh subagent attempts the task WITHOUT the skill; no failure = no skill Phase 1 ANALYSIS load-bearing lenses (Inversion, Pareto, Root Cause), failure-form matching Phase 2 SPEC tiered (minimal default / full for infrastructure), decisions + WHY Phase 3 GENERATE fresh-context subagent receives ONLY the spec + baseline failures Phase 4 GREEN GATE with-skill runs must clear the recorded baseline failures; trigger tests Phase 5 REVIEW lint (validate_skill.py) + ONE adversarial reviewer charged to refute Phase 6 SHIP with evals/ - a per-skill regression suite runnable forever after ``` ## What no other skill creator has - **Dedup before create** (Phase 0): an index of every skill across runtimes answers "should this exist?" first. - **Skills ship with their tests**: `evals/` (trigger queries + behavioral scenarios) + `run_skill_evals.py` = regression testing for skills. - **Ecosystem doctor**: `skillforge_doctor.py` finds trigger collisions between skills, duplicates, stale file references, budget violations, and pinned models across your entire roster. - **Cross-runtime compile**: author once, `compile_skill.py --target claude|codex|agentskills`. - **Friction mining** (opt-in): `mine_skill_friction.py --consent` finds skill gaps in your own local session history. - **Proactive advisor** (opt-in): evidence-backed skill suggestions delivered via hooks, never auto-invoked. ## Install (Claude Code) ```bash git clone https://github.com/tripleyak/SkillForge.git /tmp/skillforge cp -r /tmp/skillforge ~/.claude/skills/skillforge cd ~/.claude/skills/skillforge && rm -rf README.md LICENSE CONTEXT.md docs .git .gitignore .skillignore index.html assets/images scripts/tests SKILLFORGE_AUDIT.md cp /tmp/skillforge/commands/skillforge.md ~/.claude/commands/skillforge.md # optional /skillforge command ``` Optional advisor + hooks (interactive, everything opt-in): ```bash python3 ~/.claude/skills/skillfor
Excerpt of 5,291 characters
Read on GitHub
33
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:378265f9066a7e5b, llm:Repository topics and description: topics include agent-skills, claude-ai, claude-code, claude-skills, codex, evals. Description: 'A skill creator that proves its skills work. Evidence-driven skill creation for Claude Code and Codex: baseline-tested generation, per-skill regression evals, ecosystem doctor, cross-runtime compile, and an opt-in proactive advisor.'
matched fp:378265f9066a7e5b, llm:Repository topics and description: topics include agent-skills, claude-ai, claude-code, claude-skills, codex, evals. Description: 'A skill creator that proves its skills work. Evidence-driven skill creation for Claude Code and Codex: baseline-tested generation, per-skill regression evals, ecosystem doctor, cross-runtime compile, and an opt-in proactive advisor.'
matched fp:378265f9066a7e5b, llm:Repository topics and description: topics include agent-skills, claude-ai, claude-code, claude-skills, codex, evals. Description: 'A skill creator that proves its skills work. Evidence-driven skill creation for Claude Code and Codex: baseline-tested generation, per-skill regression evals, ecosystem doctor, cross-runtime compile, and an opt-in proactive advisor.'