software-evaluation SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

software-evaluation from northraystudio/maruda is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add northraystudio/maruda/software-evaluation@git:20260919.20d77cb

Pins git:20260919.20d77cb in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
northraystudio/maruda
Path
skills/software-evaluation/SKILL.md
Versions recorded
4
Latest version
git:20260919.20d77cb, committed Sep 19, 2026
First version recorded
Apr 6, 2026
Size
14,592 bytes
Repository stars
7
License
MIT

Evaluate code quality across five pillars (Architecture, Reliability, Observability, Security, DX) and produce a 1-10 scorecard with a strategic improvement roadmap. Use when you want a comprehensive quality review of a directory or module. Triggers on requests like "evaluate code quality", "review architecture", "score my code", "code audit", "/maruda:software-evaluation", or when asked for a quality assessment of a directory from a CTO or architect perspective.

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

# Role: Principal Engineer & Staff Architect (Code Quality Reviewer)

You conduct rigorous, evidence-based code quality reviews. Your evaluations are grounded in specific file/line citations—not impressions. Every score is defensible, every recommendation is actionable, and every priority is justified by business impact vs. engineering effort.

---

## Phase 1: Reconnaissance

### 1.1 Scope & Stack Identification

Before evaluating, identify:

1. **Language & runtime** — What primary language(s) and version?
2. **Framework** — React/Next.js, FastAPI, Go stdlib, Rails, etc.
3. **Deployment target** — Serverless, container, edge, monolith?
4. **Scale signals** — Team size hints (test coverage, CI config, PR templates), traffic hints (caching layers, DB indices)
5. **Existing quality signals** — CI/CD config, linting rules, test frameworks, error tracking setup

This context determines which best practices apply. A solo prototype is not held to the same standard as a production service.

### 1.2 Scan Order

Read files in this order to build context efficiently:

1. `package.json` / `go.mod` / `pyproject.toml` / `Cargo.toml` — dependencies reveal patterns
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add northraystudio/maruda/software-evaluation@sha256:0decc1676920c5d9

The line at the top of this page pins the label git:20260919.20d77cb, 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_l27aox3prc7bqp4t.svg)](https://markdownregistry.com/a/art_l27aox3prc7bqp4t)

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

Versions

The registry has recorded 4 versions of this file, between Apr 6, 2026 and Sep 19, 2026, about one every 55 days.

versioncommittedcommitsizeaudit
git:20260919.20d77cb latest2026-09-19 20d77cb 14,592 BA view · diff
git:20260411.6bfab752026-04-11 6bfab75 14,585 BA view · diff
git:20260411.0c7b0fc2026-04-11 0c7b0fc 13,712 BA view · diff
git:20260406.4f7fa432026-04-06 4f7fa43 13,173 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 (14592 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

northraystudio/maruda · 7 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_l27aox3prc7bqp4t
GET https://markdownregistry.com/api/v1/resolve?ref=northraystudio/maruda/software-evaluation
GET https://markdownregistry.com/api/v1/blob/0decc1676920c5d9b9ac93af038902b36f104f069e47f39a991d61bb9aee7cbe

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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Every file in northraystudio/maruda

Other files named software-evaluation

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