repository-readiness-eval skillA
repository-readiness-eval is agent-read markdown (skill) from fabioc-aloha/alex_skill_mall: Evaluate a repository's readiness for AI-assisted development across 4 axes: code understanding, dependency restore, build success, and test execution. Use when onboarding to a new repo, assessing CI readiness, or validating that an AI agent can work effectively in a codebase..
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
# Repository Readiness Evaluation Systematic 4-axis assessment of whether a repository is ready for productive AI-assisted development — from code comprehension through successful test execution. ## When to Use - Onboarding to an unfamiliar repository - Assessing if a codebase is AI-agent-ready - Validating CI/CD pipeline health - Pre-engagement quality check before committing to a project - Measuring improvement after fixing build/test issues --- ## The 4 Axes | Axis | Question | Score Range | | ---- | -------- | ----------- | | **A: Code Understanding** | Can you comprehend the project structure, tech stack, and architecture? | 0–5 | | **B: Dependency Restore** | Can you install/restore all dependencies successfully? | 0–5 | | **C: Build Success** | Does the project compile/build without errors? | 0–5 | | **D: Test Execution** | Do tests run and pass? | 0–5 | **Total**: 0–20 points → Tier classification (below) --- ## Phase 1: Code Understanding (Axis A) ### Investigation Steps 1. **Read README** — does it explain setup, architecture, and conventions? 2. **Identify tech stack** — languages, frameworks, build system, package manager …
Read the whole file at its exact version.
How to install
mdr add fabioc-aloha/alex_skill_mall/repository-readiness-eval@git:20260728.80a7ab6mdr add fabioc-aloha/alex_skill_mall/repository-readiness-eval@sha256:92e4abbb191ac6abPin 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_psztyacd6v67bms7)
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Versions
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 (9583 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
fabioc-aloha/alex_skill_mall · 4 stars · license MIT · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_psztyacd6v67bms7 GET https://markdownregistry.com/api/v1/resolve?ref=fabioc-aloha/alex_skill_mall/repository-readiness-eval GET https://markdownregistry.com/api/v1/blob/92e4abbb191ac6ab279d25fd41049d086c07bcf82818993f351c570ab0c99fb5
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.