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 alonf/MCPPythonDemo --skill project-conventionsgit clone --depth 1 https://github.com/alonf/MCPPythonDemoWrote 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/alonf/mcppythondemo/project-conventions)<a href="https://agentmods.dev/skills/alonf/mcppythondemo/project-conventions"><img src="https://agentmods.dev/badge/skills/alonf/mcppythondemo/project-conventions/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/alonf/mcppythondemo/project-conventions"><img src="https://agentmods.dev/badge/skills/alonf/mcppythondemo/project-conventions.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 | $0.00012 | $0.00348 |
| Opus 5.5 | $0.00005 | $0.00139 |
| Sonnet 5.5 | $0.00002 | $0.00070 |
| Haiku 4.5 | $0.00001 | $0.00035 |
Grade A, and why
project-conventions 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.
This is a copy
100% identical to project-conventions — 112 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Context
This is a starter template. Replace the placeholder patterns below with your actual project conventions. Skills train agents on codebase-specific practices — accurate documentation here improves agent output quality.
Patterns
[Pattern Name]
Describe a key convention or practice used in this codebase. Be specific about what to do and why.
Error Handling
Testing
Code Style
File Structure
Examples
// Add code examples that demonstrate your conventions
Anti-Patterns
- [Anti-pattern] — Explanation of what not to do and why.
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 · 57 lines · 12 tokens per session scan A 764b524a5db7
project-conventions is a skill published in the GitHub repository alonf/MCPPythonDemo (0 stars, last pushed 6mo ago), licensed MIT. It adds 12 tokens to every session and 348 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to project-conventions, differing in 112 lines, and is treated as a copy.
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