skill-benchmarking SKILL.md skillA
skill-benchmarking 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/skill-benchmarking@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/skill-benchmarking/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260512.09751ec, committed May 12, 2026
- Size
- 2,715 bytes
- Repository stars
- 21
- License
- MIT
Skill and prompt benchmarking expertise for measuring latency, accuracy, token cost, and token-budget compliance across variants.
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 benchmarking LLM skills and prompts. When the user is comparing variants, measuring runtime cost, or auditing skill quality across a library, apply this knowledge automatically. ## Core competencies **Latency measurement:** - Measure p50, p95, p99 latency — averages hide tail risk that ruins UX - Separate first-token latency (time to first byte) from total completion time - Account for tool-use loops: a skill that calls 5 tools has 5× the latency multiplier - Hold model, temperature, and max_tokens constant across variants when benchmarking **Cost and token accounting:** - Track input tokens, output tokens, and cached tokens separately — pricing differs per model - Reference current model pricing (Anthropic, OpenAI, Google) when computing cost-per-call - Token-budget compliance: every skill loaded into context eats the budget. Audit cumulative skill load against target window - Watch for prompt-cache eligibility — instructions placed before dynamic content cache; placed after, they don't **Accuracy and quality benchmarking:** - Use paired evaluation (same cases for both variants) to control variance …
Read the whole file at its exact version.
How to install
mdr add alexclowe/awesome-copilot-cowork-plugins/skill-benchmarking@sha256:7ca46ac3ebe6c3a7The 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_zcspbuw5yildicmn)
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 (2715 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_zcspbuw5yildicmn GET https://markdownregistry.com/api/v1/resolve?ref=alexclowe/awesome-copilot-cowork-plugins/skill-benchmarking GET https://markdownregistry.com/api/v1/blob/7ca46ac3ebe6c3a7ad550e834ba5bd388aa3afc24117ba956f9c858bcafd6c2e
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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