ai-tuning-loop SKILL.md skillA
ai-tuning-loop from andersonlimahw/lemon-ai-hub is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add andersonlimahw/lemon-ai-hub/ai-tuning-loop@git:20260614.f27dfeaPins git:20260614.f27dfea in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- andersonlimahw/lemon-ai-hub
- Path
plugins/agentic-value-loops/skills/ai-tuning-loop/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260614.f27dfea, committed Jun 14, 2026
- Size
- 1,857 bytes
- Repository stars
- 17
- License
- MIT
AI Tuning Loop. Goal: raise chat answer quality for one agent + category per iteration.
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
# AI Tuning Loop **Goal:** raise chat answer quality for one agent + category per iteration. **Cadence:** per agent / category. ## Phase 0 · IDEA - Find the gap using `vc-evals-auditor` for a target agent and category. - **verify:** a named gap with concrete examples (not just "make it better"). ## Phase 1 · PLAN - Write `docs/features/chat/training/<run-name>.md`. - Detail the gap, current score, target score, batch size. - Hard guardrails: NO hard-coded scores, NO fabricated `source_model`, NO duplicate Q&A, mandatory PII scrubbing. - **verify:** plan cites gap, target metric, and guardrails. ## Phase 2 · IMPLEMENT - Run real generator and evaluator scripts (e.g. `financial-qa:generate`, `financial-qa:evaluate`). - Avoid running massive parallel batches locally to prevent OOM. - **verify:** batch generated, every item has a computed score. ## Phase 3 · TEST - Validate schema (`financial-qa:validate`). - Import and register staging data into DB (`financial-qa:import`, `financial-qa:register`). - **verify:** 0 validation errors; rows registered; deduplication respected. ## Phase 4 · QUALITY GATE - Run the evals (`eval:financial-qa`). - Re-run `vc-evals-auditor` from Phase 0. …
Read the whole file at its exact version.
How to install
mdr add andersonlimahw/lemon-ai-hub/ai-tuning-loop@sha256:a273969db3e8d0d7The line at the top of this page pins the label git:20260614.f27dfea, 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_mjpa36hrjvl7ofol)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 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 (1857 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
andersonlimahw/lemon-ai-hub · 17 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mjpa36hrjvl7ofol GET https://markdownregistry.com/api/v1/resolve?ref=andersonlimahw/lemon-ai-hub/ai-tuning-loop GET https://markdownregistry.com/api/v1/blob/a273969db3e8d0d79dd7563c2d784b29c2a241d6ccf09b90b763f04b09ebee84
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.