Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add OneDro1d/dark-factory --skill dx-maintainability-reviewergit clone --depth 1 https://github.com/OneDro1d/dark-factoryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/onedro1d/dark-factory/dx-maintainability-reviewer)<a href="https://agentmods.dev/skills/onedro1d/dark-factory/dx-maintainability-reviewer"><img src="https://agentmods.dev/badge/skills/onedro1d/dark-factory/dx-maintainability-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/onedro1d/dark-factory/dx-maintainability-reviewer"><img src="https://agentmods.dev/badge/skills/onedro1d/dark-factory/dx-maintainability-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.02332 |
| Opus 5 | $0.00038 | $0.01166 |
| Sonnet 5 | $0.00015 | $0.00466 |
| Haiku 4.5 | $0.00008 | $0.00233 |
Grade A, and why
dx-maintainability-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DX & Maintainability Reviewer
Evaluate how easy it is for a new engineer to understand, modify, and work in this codebase. Focus on cognitive load, clarity, and sustainable development practices.
Core Principle
"Any fool can write code that a computer can understand. Good programmers write code that humans can understand." — Martin Fowler
When to Use
- Onboarding new team members
- Reviewing code quality after feature work
- Assessing technical debt before sprints
- Evaluating codebases during due diligence
- Planning refactoring efforts
- Improving team velocity
Review Workflow
Step 1: First Impressions (New Engineer Simulation)
Approach the codebase as a new engineer would:
Questions a new engineer asks:
1. What does this project do? (README)
2. How do I run it locally? (Setup docs)
3. Where is the code for X? (Project structure)
4. How do I make a change? (Contribution guide)
5. What patterns should I follow? (Conventions)
6. Who do I ask for help? (Team/ownership)
Time yourself:
- Can find entry point in < 2 minutes?
- Can run locally in < 15 minutes?
- Can understand main flow in < 1 hour?
Step 2: Structural Analysis
# Project structure overview
tree -L 3 -d --noreport
# File count by type
find . -type f -name "*.ts" | wc -l
# Largest files (complexity indicators)
find . -name "*.ts" -exec wc -l {} \; | sort -rn | head -20
# Most changed files (hotspots)
git log --pretty=format: --name-only | sort | uniq -c | sort -rn | head -20
Step 3: Code Complexity Scan
# Longest files first — the top of this list is the hotspot set
find . -name "*.ts" -exec wc -l {} + | sort -rn | head -20
# Long functions (rough heuristic)
grep -rn "function\|async\|=>" --include="*.ts" -A 100 | head -200
# Deep nesting (many closing braces together)
grep -rn "}}}\|}}}}" --include="*.ts"
# TODO/FIXME/HACK count
grep -rn "TODO\|FIXME\|HACK\|XXX" --include="*.ts" | wc -l
Step 4: Execute Checklist
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 275 lines · 76 tokens per session scan A 9dfa213b96cd
dx-maintainability-reviewer is a skill published in the GitHub repository OneDro1d/dark-factory (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 76 tokens to every session and 2,332 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
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