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/acaprino/daodanWrote 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/acaprino/daodan/python-development)<a href="https://agentmods.dev/plugins/acaprino/daodan/python-development"><img src="https://agentmods.dev/badge/plugins/acaprino/daodan/python-development.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
python-development 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 yesterday.
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
{
"author": {
"name": "Alfio Caprino"
},
"description": "Python development toolkit - TDD with pytest, code refactoring with complexity metrics, performance profiling, async patterns, uv package management, dead code detection, comment auditing, project scaffolding, deep Pydantic v2.13 guide (validators/serializers/strict/performance/security/PydanticAI+Logfire) with v1 migration, and /python-audit consolidated quality report",
"license": "MIT",
"name": "python-development",
"version": "1.22.0"
}
What it installs
The manifest is a name and a version. 9 skills, 3 commands, 3 agents travel with it, and installing the plugin installs all of them — 1,058 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill pydantic-v2 A 121 tokens
- Skill python-comments A 52 tokens
- Skill python-refactor A 55 tokens
- Skill python-tdd A 81 tokens
- Skill python-dead-code A 61 tokens
- Skill async-python-patterns A 54 tokens
- Skill python-performance-optimization A 53 tokens
- Skill python-packaging C 56 tokens
- Skill uv-package-manager C 43 tokens
- Command python-refactor A 80 tokens
- Command python-audit A 111 tokens
- Command python-scaffold A 64 tokens
- Agent python-test-engineer A 66 tokens
- Agent python-engineer A 87 tokens
- Agent python-refactor-agent A 74 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.
- yesterday First seen · 10 lines scan A fed49577105b
python-development is a plugin published in the GitHub repository acaprino/daodan (8 stars, last pushed yesterday), 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 2026-09-05.
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