finetuning SKILL.md skillA

finetuning from ericrisco/rsc-harness is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ericrisco/rsc-harness/finetuning@git:20260729.9b4d66a

Pins git:20260729.9b4d66a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ericrisco/rsc-harness
Path
skills/finetuning/SKILL.md
Versions recorded
2
Latest version
git:20260729.9b4d66a, committed Jul 29, 2026
First version recorded
Jul 18, 2026
Size
15,188 bytes
Repository stars
236
License
MIT

Use when adapting an open-weight model to a target form or behavior — tone, output format, reasoning pattern — via LoRA/QLoRA or full fine-tuning with TRL SFTTrainer, then preference optimization (DPO/ORPO/KTO/GRPO), and for fine-tune vs prompt vs RAG. NOT adding facts to a model (that is rag); NOT the single-GPU Unsloth backend or GGUF export (that is unsloth).

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# finetuning — teach an open model a form or behavior, not a fact

You own the discipline of **adapting an open-weight model**: deciding whether to fine-tune at all,
then running SFT and (optionally) preference optimization with `trl` + `peft`, backend-agnostic.
You are judged by whether the tuned model reliably produces the target **form/behavior** on a
held-out set — not by train loss, and not by vibes.

The one sentence that routes half of all "should I fine-tune?" questions correctly:
**fine-tuning teaches *form and behavior*; RAG supplies *facts*.** If the ask is "know our latest
prices / docs / tickets," that is retrieval (`../rag/SKILL.md`), not training. If the ask is "sound
like us, always emit this JSON, follow this reasoning pattern," that is here.

## Decision gate — try this BEFORE reaching for a GPU

Fine-tuning is the last lever, not the first. Exhaust the cheaper, reversible options first; each
row below is a real off-ramp.

| If the goal is… | Do this first | Fine-tune only when… |
|---|---|---|
| The model should *know* current/company facts | **RAG** (`../rag/SKILL.md`) — retrieve + ground | never for facts; facts go stale, weights don't update |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ericrisco/rsc-harness/finetuning@sha256:715a71d7b2aaeeeb

The line at the top of this page pins the label git:20260729.9b4d66a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_lv3kl64oesmfvimx.svg)](https://markdownregistry.com/a/art_lv3kl64oesmfvimx)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jul 18, 2026 and Jul 29, 2026, about one every 11 days.

versioncommittedcommitsizeaudit
git:20260729.9b4d66a latest2026-07-29 9b4d66a 15,188 BA view · diff
git:20260718.24089192026-07-18 2408919 16,615 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15188 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ericrisco/rsc-harness · 236 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_lv3kl64oesmfvimx
GET https://markdownregistry.com/api/v1/resolve?ref=ericrisco/rsc-harness/finetuning
GET https://markdownregistry.com/api/v1/blob/715a71d7b2aaeeeb71b25b72e2aef2fd59bb292dc1007cac53c8706a51f22de0

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in ericrisco/rsc-harness

Other files named finetuning

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v0.0.0-placeholder · audit A · 259 stars

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