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/blake-simpson/belmontWrote 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/blake-simpson/belmont/plugin)<a href="https://agentmods.dev/plugins/blake-simpson/belmont/plugin"><img src="https://agentmods.dev/badge/plugins/blake-simpson/belmont/plugin/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/blake-simpson/belmont/plugin"><img src="https://agentmods.dev/badge/plugins/blake-simpson/belmont/plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
belmont 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 1mo 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": "belmont",
"version": "0.11.1",
"description": "Structured AI coding sessions with PRD-driven planning, implementation, and verification",
"author": {
"name": "Blake Simpson"
},
"repository": "https://github.com/blake-simpson/belmont",
"license": "MIT",
"keywords": ["ai", "coding", "prd", "planning", "implementation", "verification"]
}
What it installs
The manifest is a name and a version. 17 skills travel with it, and installing the plugin installs all of them — 458 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill implement A 15 tokens
- Skill loop A 47 tokens
- Skill debug-manual A 30 tokens
- Skill next A 13 tokens
- Skill tech-plan A 14 tokens
- Skill verify A 10 tokens
- Skill debug-auto A 17 tokens
- Skill product-plan A 17 tokens
- Skill working-backwards A 53 tokens
- Skill review-plans A 42 tokens
- Skill cleanup A 35 tokens
- Skill repair A 42 tokens
- Skill status A 11 tokens
- Skill reset A 20 tokens
- Skill codex-plan-apply A 45 tokens
- Skill note A 14 tokens
- Skill debug A 33 tokens
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.
- 1mo ago First seen · 12 lines scan A 4adb086c647f
belmont is a plugin published in the GitHub repository blake-simpson/belmont (6 stars, last pushed 1mo ago), licensed Apache-2.0. 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
agentrq-workspace
Workspace agent that executes tasks assigned by humans or supervisors, communicates progress via reply, and manages task lifecycle within a specific AgentRQ workspace.
agentrq
Human-in-the-loop task supervisor for AI agents.
claude-flow
Enterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities.
abcd-marketplace
Plugin marketplace listing 1 plugin: abcd.
humanizer
Rewrite AI-sounding text so it reads like the writer without changing what it says.
nextjs
Official Next.js skills: adopt and optimize Cache Components, adopt Partial Prefetching, and verify runtime behavior against a running dev server.