checkpoint-promotion SKILL.md skillA
checkpoint-promotion from wshobson/agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wshobson/agents/checkpoint-promotion@git:20260714.baa5bd7Pins git:20260714.baa5bd7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wshobson/agents
- Path
plugins/llm-finetuning/skills/checkpoint-promotion/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260714.baa5bd7, committed Jul 14, 2026
- Size
- 8,125 bytes
- Repository stars
- 42,320
- License
- MIT
Gate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpoint, when deciding whether a tuned model ships, or when a promoted model needs re-gating against updated goldens.
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
# Checkpoint Promotion The Phase 5 gate for the whole plugin: a checkpoint that trains cleanly and beats its task metric still doesn't ship without clearing all four stages below. `eval-harness-first` built the suite re-run here — this skill is where that suite's baseline decides something. **Input:** a trained checkpoint, `eval/baseline-<model>.json` from `eval-harness-first`, and the frozen `eval/drift-suite.yaml`. **Output format:** `promotion-report.md` — the four-stage evidence plus a terminal `PROMOTE` or `REJECT` verdict that `/finetune` Phase 5 and `/promote-checkpoint` consume directly. ## The Four-Stage Gate Each stage gates the next — a failure at stage 2 means stage 3 doesn't run. Stages 2 and 3 share one expensive inference pass, so running them concurrently and applying gate order at verdict time is licensed on a **deterministic** arena (nothing saved by serializing); a judge-based arena should still wait for stage 2 first — that's where the real savings are. 1. **Data-quality gate.** Before any eval touches the checkpoint: dedup the training set, check for eval-goldens leakage (the exact failure `trace-to-training-data`'s …
Read the whole file at its exact version.
How to install
mdr add wshobson/agents/checkpoint-promotion@sha256:b0bd8202b84952e5The line at the top of this page pins the label git:20260714.baa5bd7, 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.
[](https://markdownregistry.com/a/art_3aspv7yvi6unsmje)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 14, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8125 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
wshobson/agents · 42,320 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3aspv7yvi6unsmje GET https://markdownregistry.com/api/v1/resolve?ref=wshobson/agents/checkpoint-promotion GET https://markdownregistry.com/api/v1/blob/b0bd8202b84952e5e117a1c2efb44a85d0df9824ab0246247ab94d46e15545d9
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.