eval-driven-dev SKILL.md skillA
eval-driven-dev from github/awesome-copilot is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add github/awesome-copilot/eval-driven-dev@v0.8.4Pins v0.8.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- github/awesome-copilot
- Path
skills/eval-driven-dev/SKILL.md- Versions recorded
- 5
- Latest version
- v0.8.4, committed Apr 28, 2026
- First version recorded
- Mar 15, 2026
- Size
- 17,830 bytes
- Repository stars
- 40,941
- License
- MIT
Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.
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
# Eval-Driven Development for Python LLM Applications You're building an **automated evaluation pipeline** that tests a Python-based AI application end-to-end — running it the same way a real user would, with real inputs — then scoring the outputs using evaluators and producing pass/fail results via `pixie test`. **What you're testing is the app itself** — its request handling, context assembly (how it gathers data, builds prompts, manages conversation state), routing, and response formatting. The app uses an LLM, which makes outputs non-deterministic — that's why you use evaluators (LLM-as-judge, similarity scores) instead of `assertEqual` — but the thing under test is the app's code, not the LLM. During evaluation, the app's own code runs for real — routing, prompt assembly, LLM calls, response formatting — nothing is mocked or stubbed. But the data the app reads from external sources (databases, caches, third-party APIs, voice streams) is replaced with test-specified values via instrumentations. This means each test case controls exactly what data the app sees, while still exercising the full application code path. …
Read the whole file at its exact version.
How to install
mdr add github/awesome-copilot/eval-driven-dev@sha256:dbaac08a46bdd0aeThe line at the top of this page pins the label v0.8.4, 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_dbv2p7ipijg7llss)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Mar 15, 2026 and Apr 28, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.8.4 latest | 2026-04-28 | 2860790 | 17,830 B | A | view · diff |
| v0.6.1 | 2026-04-10 | 5f59ddb | 10,246 B | A | view · diff |
| v0.2.0 | 2026-03-29 | df0ed6a | 24,304 B | A | view · diff |
| v0.1.11 | 2026-03-22 | 371d0dd | 37,876 B | A | view · diff |
| git:20260315.47f544a | 2026-03-15 | 47f544a | 25,896 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 (17830 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
github/awesome-copilot · 40,941 stars · license MIT · pushed 2026-11-09 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dbv2p7ipijg7llss GET https://markdownregistry.com/api/v1/resolve?ref=github/awesome-copilot/eval-driven-dev GET https://markdownregistry.com/api/v1/blob/dbaac08a46bdd0ae865363b53265f2e5a4ae4e95d8ccd11f7fa38e8dc87c40ba
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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