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.
git clone --depth 1 https://github.com/brandonm/ai-code-standardsWrote 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/plugins/brandonm/ai-code-standards/marketplace)<a href="https://agentmods.dev/plugins/brandonm/ai-code-standards/marketplace"><img src="https://agentmods.dev/badge/plugins/brandonm/ai-code-standards/marketplace/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/plugins/brandonm/ai-code-standards/marketplace"><img src="https://agentmods.dev/badge/plugins/brandonm/ai-code-standards/marketplace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
code-standards marketplace 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 2mo 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.
What it actually says
{
"name": "code-standards",
"owner": {
"name": "brandonm"
},
"metadata": {
"description": "Engineering standards generator for AI coding assistants — composable fragments for testing, security, code review, and more."
},
"plugins": [
{
"name": "code-standards",
"source": {
"source": "github",
"repo": "brandonm/ai-code-standards"
},
"description": "Generate tailored CLAUDE.md engineering standards files by composing modular fragments based on stack, domain, team size, and regulatory requirements.",
"version": "1.0.0",
"author": {
"name": "brandonm"
}
}
]
}
The plugins it lists here
This marketplace lists 1 plugin kept in the same repository. Each has its own page, its own measurements and its own install command.
What ships with it
1 file beside marketplace.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 24 lines scan A c1c1d626771a
code-standards marketplace is a plugin published in the GitHub repository brandonm/ai-code-standards (2 stars, last pushed 6mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-31.
Other plugins, from other repositories
development-skills
Use for coding, debugging, refactoring, design, test strategy, code review, documentation alignment, and development research. A language-agnostic direct, bounded, or full workflow with persistent decisions and independent review.
debt-ops
Every shortcut your coding agent takes, saved to your repo as it happens. Fix them when you're ready.
zuvo
Multi-agent skill ecosystem for structured software development. 58 skills and 26 specialized agents with quality gates, code exploration, and evidence-based review.
high-quality-projects-skill
Vendor-neutral project discovery, feature delivery, and quality retrofit. Three workflows scan and enhance canonical code, apply language-specific review, and require repeatable red drills. First-party Python helpers validate traceability, recorded evidence, and resume checkpoints; atomic updates preserve existing…
kanso
Claude Code skills that keep AI-written code short and honest. Delete before you add, earn every line.
archlint
Catches architectural drift while the agent writes code — checks edited files' imports against layer rules declared in your CLAUDE.md.