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.
npx skills add CHENyiru3/AI-Skills-Collections --skill communitygit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote 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/skills/chenyiru3/ai-skills-collections/community)<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/community"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/community/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/skills/chenyiru3/ai-skills-collections/community"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/community.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00081 | $0.00899 |
| Opus 5.5 | $0.00032 | $0.00360 |
| Sonnet 5.5 | $0.00016 | $0.00180 |
| Haiku 4.5 | $0.00008 | $0.00090 |
Grade A, and why
building-python-communities 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.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Library Community Management
Essential Files
CONTRIBUTING.md
# Contributing
## Development Setup
git clone https://github.com/user/package.git
cd package
pip install -e ".[dev]"
pre-commit install
pytest
## Making Changes
1. Create a branch: `git checkout -b feature/name`
2. Make changes, add tests
3. Run: `make test && make lint`
4. Commit and open a PR
## Commit Messages
- `Add:` new feature
- `Fix:` bug fix
- `Update:` enhancement
- `Docs:` documentation
CODE_OF_CONDUCT.md
Use Contributor Covenant - the standard for open source.
Issue Templates
.github/ISSUE_TEMPLATE/bug_report.md:
---
name: Bug Report
labels: 'bug'
---
## Description
## To Reproduce
## Expected vs Actual Behavior
## Environment (OS, Python version, package version)
## Minimal Reproducible Example
.github/ISSUE_TEMPLATE/feature_request.md:
---
name: Feature Request
labels: 'enhancement'
---
## Problem Statement
## Proposed Solution
## Example Usage
PR Template
.github/PULL_REQUEST_TEMPLATE.md:
## Description
## Related Issue (Fixes #)
## Checklist
- [ ] Tests added
- [ ] Documentation updated
- [ ] CHANGELOG entry added
GitHub Actions Automation
# .github/workflows/welcome.yml
on:
pull_request_target:
types: [opened]
jobs:
welcome:
runs-on: ubuntu-latest
steps:
- uses: actions/first-interaction@v1
with:
pr-message: "Thanks for your first PR! 🎉"
Labels
good first issue- Newcomer-friendlyhelp wanted- Extra attention neededbug,enhancement,documentation
For detailed templates, see:
- TEMPLATES.md - Full issue/PR templates
- GOVERNANCE.md - Project governance guide
Checklist
Initial Setup:
- [ ] CONTRIBUTING.md
- [ ] CODE_OF_CONDUCT.md
- [ ] Issue templates
- [ ] PR template
- [ ] Labels defined
Ongoing:
- [ ] Respond to issues within 48h
- [ ] Review PRs within 1 week
- [ ] Maintain good first issues
- [ ] Recognize contributors
What ships with it
2 files beside SKILL.md 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.
- 6d ago First seen · 133 lines · 81 tokens per session scan A fbaad0039fdc
building-python-communities is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 81 tokens to every session and 899 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-02.
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