agent-evaluation-plan skillA
agent-evaluation-plan is agent-read markdown (skill) from kesslernity/awesome-copilot-agent-skills: Designs a pre-launch evaluation plan for a declarative agent from its instructions text, skills, capabilities, knowledge sources and sample requests: a behaviour contract of testable statements quoted from the text, test prompts by scenario family and tier with setup, expected behaviour, pass and fail criteria and red flags, a red-flag catalogue, a blank scoring sheet, a coverage table and a go or no-go checklist the owner completes and decides. Use when the user asks to "write test cases for my.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Agent evaluation plan ## Purpose From what an agent promises in its instructions and skills, produce one DRAFT plan the owner runs before launch: every promise as a testable statement, the prompts that exercise it, pass and fail criteria, the responses that fail regardless of scenario, a scoring sheet, a coverage table and a go or no-go checklist. The owner runs the tests, records results and makes the launch call. ## When to use Use when the user asks how to test, evaluate, validate or pilot an agent before publishing it, or asks for test cases, acceptance criteria, a test script, a scoring sheet or a launch checklist. Do not use for finding injection, leakage or permission exposures in the text, use agent-instructions-red-team instead. Do not use for reviewing one SKILL.md, use skill-file-reviewer instead. ## Inputs 1. Instructions text, pasted, attached or reachable through this agent's configured knowledge sources. Partial text yields a partial contract; the rest is UNKNOWN. If unreachable, ask for a paste and say so. …
Read the whole file at its exact version.
How to install
mdr add kesslernity/awesome-copilot-agent-skills/agent-evaluation-plan@git:20260917.f14a4fbmdr add kesslernity/awesome-copilot-agent-skills/agent-evaluation-plan@sha256:cb4a186e818dce6aPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_fvu3527ycttattmf)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260917.f14a4fb latest | 2026-09-17 | f14a4fb | 10,774 B | A | view · diff |
| git:20260916.44af39e | 2026-09-16 | 44af39e | 10,770 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 (10774 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
kesslernity/awesome-copilot-agent-skills · 5 stars · license CC-BY-SA-4.0 · pushed 2026-09-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fvu3527ycttattmf GET https://markdownregistry.com/api/v1/resolve?ref=kesslernity/awesome-copilot-agent-skills/agent-evaluation-plan GET https://markdownregistry.com/api/v1/blob/cb4a186e818dce6a3cfc1faba93d65ce32bc2c37b99930c8372f1e75baa35d74
Your agent 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.