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finetuning

evo-hq/evoSkill

This skill should be used when picking or diagnosing a training move (SFT, LoRA, DPO/KTO/ORPO, RFT, GRPO/PPO/RLOO, RLHF), or when the user mentions fine-tuning, post-training, training recipe, reward design, or weight updates. Decision tree by reward shape, smoke-run gate, three failure diagnostics, five false-progress patterns. Provider recipes and I/O contract in references/.

ScannedSkillSource: GitHub
1,478 stars +8 this week Updated 1mo ago License Apache-2.0 Context ≈98 tokens always loaded
61popular

Why this score

Stars15/35
Usage (forks)5/15
Upkeep20/25
License15/15
Owner history6/10

This repo hosts 10 skills, so its 1,478 stars are split between them (about 148 each) for scoring.

Popularity score: 61/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit c70c04b4d2da, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

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eval-code Calibre-Labs/reforge-ai-evals · Skill Same job: ai engineering 54★ 76≈26 always16d ago