prompt-optimization-loop SKILL.md skillA
prompt-optimization-loop from alexclowe/awesome-copilot-cowork-plugins is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add alexclowe/awesome-copilot-cowork-plugins/prompt-optimization-loop@git:20260512.09751ecPins git:20260512.09751ec in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- alexclowe/awesome-copilot-cowork-plugins
- Path
prompt-engineer/skills/prompt-optimization-loop/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260512.09751ec, committed May 12, 2026
- Size
- 2,623 bytes
- Repository stars
- 21
- License
- MIT
Prompt-engineering expertise for designing test cases, edge cases, adversarial inputs, and iterating on prompts based on eval results.
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
You have deep expertise in iterative prompt optimization. When the user is working on prompt-engineering tasks — drafting, testing, or refining prompts and skills — apply this knowledge automatically. ## Core competencies **Test case design:** - Generate happy-path, edge, and adversarial cases with explicit coverage tags - Edge cases: empty fields, malformed input, multilingual content, ambiguous requests, very long input, conflicting instructions - Adversarial cases: prompt injection (instruction override, delimiter confusion, role hijacking), jailbreaks, data exfiltration attempts — reference OWASP LLM Top 10 - Stratify synthetic cases by failure-mode hypothesis, not by surface form **Iteration discipline:** - Always start with error analysis on real traces before generating synthetic cases (per Hamel Husain's eval methodology) - Cluster failures into root causes before changing the prompt — fixing 47 symptoms hides 3 underlying bugs - Make one change at a time when iterating, so A/B comparisons isolate the effect - Keep a versioned changelog of prompt edits with the failure mode each edit addressed **Evaluator selection:** …
Read the whole file at its exact version.
How to install
mdr add alexclowe/awesome-copilot-cowork-plugins/prompt-optimization-loop@sha256:7a1fd4fb5f7b9236The line at the top of this page pins the label git:20260512.09751ec, 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_lsscbcmc22lwlc7r)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 12, 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 (2623 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
alexclowe/awesome-copilot-cowork-plugins · 21 stars · license MIT · pushed 2026-10-12 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lsscbcmc22lwlc7r GET https://markdownregistry.com/api/v1/resolve?ref=alexclowe/awesome-copilot-cowork-plugins/prompt-optimization-loop GET https://markdownregistry.com/api/v1/blob/7a1fd4fb5f7b9236c2e57af74d279a56686d13ff600c35976e9fa2c42088ca97
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.