spec-driven-eval SKILL.md skillA

spec-driven-eval from tech-leads-club/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tech-leads-club/agent-skills/spec-driven-eval@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tech-leads-club/agent-skills
Path
packages/skills-catalog/skills/(development)/spec-driven-eval/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Jun 19, 2026
Size
35,475 bytes
Repository stars
7,124
License
a license file GitHub does not identify

Scores how completely an implementation fulfills a PRD/spec, case by case, and produces a single comparable final grade. Invoke only when explicitly named (e.g. run spec-driven-eval); do not auto-trigger. Use when benchmarking spec-driven implementations, grading acceptance criteria, evaluating whether a feature was 100% implemented, comparing multiple implementations of the same PRD, or auditing implementation and test coverage (unit and e2e) against product requirements. Do NOT use for…

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

# Spec-Driven Implementation Evaluation

Evaluate a spec-driven-development (SDD) effort against a PRD **case by case** (acceptance criterion by acceptance criterion), scoring **implementation** and **tests** separately, and roll up to a single comparable final grade. Designed for benchmarking: the same PRD evaluated across different SDD frameworks — and the same effort evaluated twice — must yield comparable, reproducible numbers.

### Two subjects, two questions

This eval answers two independent questions, and keeps their verdicts separate because they fail independently:

1. **How good is the framework at respecting and extracting requirements?** — Did it honor the PRD and stay in bounds (*respect*: `Final` implementation side + Scope `S`), and did it surface the implicit requirements the PRD only implied, without noise (*extract*: Elicitation `E`)?
2. **How good is the harness at ensuring they are all implemented?** — Does the test suite prove every sanctioned requirement is actually built (`T` + Engineering Gates `G`)?
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tech-leads-club/agent-skills/spec-driven-eval@sha256:b42f3b5a2071ce3a

The line at the top of this page pins the label v1.0.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_7rntztdubt6w2ur5.svg)](https://markdownregistry.com/a/art_7rntztdubt6w2ur5)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 19, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-06-19 4b22b2e 35,475 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (35475 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

tech-leads-club/agent-skills · 7,124 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7rntztdubt6w2ur5
GET https://markdownregistry.com/api/v1/resolve?ref=tech-leads-club/agent-skills/spec-driven-eval
GET https://markdownregistry.com/api/v1/blob/b42f3b5a2071ce3acb1dbc4eaa674ef6a505b516399176398ede87cf6886323d

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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