Individual skill
eval-harness-first
Build the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Use when starting a fine-tuning effort, when converting traces into an eval set, or when calibrating a judge against human labels.
plugins/llm-finetuning/skills/eval-harness-first/SKILL.md
Source commit 4bde3168b43c0655c4d00ea2726e631719908a6d
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 42,344
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- anthropic Repository topic
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- cursor Repository topic
- cursor-rules Repository topic
- mcp Repository topic
- multi-agent Repository topic
- opencode Repository topic
- claude-code Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 7,992 bytesSKILL.mdcore · 7,992 bytesreferences/grader-templates.mddoc · 10,136 bytesreferences/judge-calibration.mddoc · 6,631 bytes
Read excerpt
# Eval Harness First
The Phase 0 gate for the whole plugin:
`finetuning-method-selection` and every downstream
skill assume this harness exists before a training
config gets written. The harness is not a run-end
side artifact — it is the data-curation engine. The
same labeled traces that build the goldens feed
training data, minus an explicit holdout.
**Input:** production/agent traces if they exist, or
a task spec if they don't, plus labelers willing to
grade ≥100 examples.
**Output format:** the `eval/` directory below —