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/jpoutrin/product-forgeWrote 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/jpoutrin/product-forge/python-experts)<a href="https://agentmods.dev/plugins/jpoutrin/product-forge/python-experts"><img src="https://agentmods.dev/badge/plugins/jpoutrin/product-forge/python-experts/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/jpoutrin/product-forge/python-experts"><img src="https://agentmods.dev/badge/plugins/jpoutrin/product-forge/python-experts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
python-experts 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": "python-experts",
"version": "1.0.0",
"description": "Python technical specialists for Django, FastAPI, FastMCP, Celery, and testing",
"author": {
"name": "jpoutrin",
"email": "[email protected]"
},
"agents": [
"./agents/celery-expert.md",
"./agents/django-expert.md",
"./agents/fastapi-expert.md",
"./agents/fastmcp-expert.md",
"./agents/python-testing-expert.md"
]
}
What it installs
The manifest is a name and a version. 11 skills, 5 agents travel with it, and installing the plugin installs all of them — 494 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill django A 43 tokens
- Skill django-api A 58 tokens
- Skill mypy-setup A 16 tokens
- Skill parallel-ready-django A 73 tokens
- Skill python-code-review A 29 tokens
- Skill python-mypy A 44 tokens
- Skill review-django-commands A 18 tokens
- Skill python-style A 31 tokens
- Skill documentation-research A 31 tokens
- Skill parallel-fix-django B 16 tokens
- Skill django-project-setup C 51 tokens
- Agent celery-expert A 19 tokens
- Agent python-testing-expert A 15 tokens
- Agent fastapi-expert A 15 tokens
- Agent fastmcp-expert A 18 tokens
- Agent django-expert A 17 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 · 17 lines scan A 5ac0e4085194
python-experts is a plugin published in the GitHub repository jpoutrin/product-forge (16 stars, last pushed 7mo 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.
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