evaluator-optimizer SKILL.md skillA
evaluator-optimizer from patrickserrano/lacquer is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add patrickserrano/lacquer/evaluator-optimizer@git:20260725.3f0d943Pins git:20260725.3f0d943 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- patrickserrano/lacquer
- Path
core/skills/evaluator-optimizer/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260725.3f0d943, committed Jul 25, 2026
- First version recorded
- Jul 11, 2026
- Size
- 4,587 bytes
- Repository stars
- 5
- License
- MIT
Generate a solution, evaluate it against explicit pass/fail criteria, refine using the feedback, repeat until it passes or a round cap is hit. Use for tasks with a clear, checkable bar and demonstrable value from iteration — a bug fix that must pass a test suite, code that must satisfy a lint/style rubric, a document that must meet stated requirements. Distinct from advisor-checkpoint (one strategic consult before committing) — this is a convergence loop against a concrete standard.
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
# Evaluator-Optimizer Generate → evaluate against explicit criteria → refine with the feedback → repeat until it passes or a round cap is hit. Use it when two things are both true: there's a **clear bar** (tests, a lint rule, a stated requirement — not "make it better") and refinement **demonstrably helps** (a model can act on concrete feedback better than it produced the first draft blind). If either is missing — no checkable criteria, or one attempt is already as good as five — skip the loop; it just burns rounds for no gain. This is a different shape from `advisor-checkpoint`: that skill is one strategic consult before you commit to an approach. This is a loop that converges *one artifact* against a bar you can actually check. ## Prefer an objective check over an opinion Whenever the task has one, run the real check — a test suite, `go vet`/`swiftlint`/a build — rather than asking a model to judge. A test result is ground truth; a model's opinion about whether code "looks correct" is not. Reserve a model-as-evaluator for criteria that genuinely can't be mechanically checked (architecture quality, whether a document actually answers the stated question, prose clarity). …
Read the whole file at its exact version.
How to install
mdr add patrickserrano/lacquer/evaluator-optimizer@sha256:4b149e0c03c2c857The line at the top of this page pins the label git:20260725.3f0d943, 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_75fyk7pmvh7x3cns)
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Versions
The registry has recorded 2 versions of this file, between Jul 11, 2026 and Jul 25, 2026, about one every 14 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260725.3f0d943 latest | 2026-07-25 | 3f0d943 | 4,587 B | A | view · diff |
| git:20260711.16c43d1 | 2026-07-11 | 16c43d1 | 4,105 B | A | view |
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 (4587 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
patrickserrano/lacquer · 5 stars · license MIT · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_75fyk7pmvh7x3cns GET https://markdownregistry.com/api/v1/resolve?ref=patrickserrano/lacquer/evaluator-optimizer GET https://markdownregistry.com/api/v1/blob/4b149e0c03c2c857d650305925c197b7360b779d732f2be067503218c6ba464c
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.