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/sigistry/marketplaceWrote 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/sigistry/marketplace/doc-generator)<a href="https://agentmods.dev/plugins/sigistry/marketplace/doc-generator"><img src="https://agentmods.dev/badge/plugins/sigistry/marketplace/doc-generator/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/sigistry/marketplace/doc-generator"><img src="https://agentmods.dev/badge/plugins/sigistry/marketplace/doc-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
doc-generator 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 6d 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": "doc-generator",
"version": "2.0.0",
"description": "Intelligent documentation automation plugin with commands for generating docs, agents for autonomous documentation review, and skills for documentation standards knowledge",
"author": {
"name": "Sigistry Doc Generator",
"url": "https://github.com/Sigistry/marketplace/tree/main/plugins/doc-generator"
},
"license": "MIT"
}
What it installs
The manifest is a name and a version. 2 skills, 3 commands, 2 agents travel with it, and installing the plugin installs all of them — 228 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 6d ago First seen · 11 lines scan A 22630235704d
doc-generator is a plugin published in the GitHub repository sigistry/marketplace (3 stars, last pushed 5d 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 2026-09-03.
Other plugins, from other repositories
overheid-plugins marketplace
Plugin marketplace listing 7 plugins: standaarden, zad-actions, developer-overheid, nerds, internet.
product-strategy
Product strategy and innovation frameworks including Jobs to Be Done (Clayton Christensen) for customer discovery and product design, tactical negotiation skills (Chris Voss), willingness-to-pay pricing (Monetizing Innovation), and startup metrics (Lean Analytics).
systems-architecture
Systems architecture and distributed systems skills including Designing Data-Intensive Applications (Martin Kleppmann), System Design Interview (Alex Xu), Clean Architecture (Robert C. Martin), Release It! (Michael Nygard), High Performance Browser Networking (Ilya Grigorik), and Team Topologies (Skelton & Pais).
handbook-agent-spec-kit
Spec-driven development workflow system with structured phases: Requirements → Design → Tasks → Implementation.
handbook-dotnet
.NET development tools including automatic CSharpier formatting for C# files and dotnet run file support.
data
Data science and data engineering agents for visualization (D3, Highcharts), notebooks (Jupyter, Google Colab), R, and Python data engineering.