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/0xNyk/awesome-agent-cortexWrote 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/rules/0xnyk/awesome-agent-cortex/git)<a href="https://agentmods.dev/rules/0xnyk/awesome-agent-cortex/git"><img src="https://agentmods.dev/badge/rules/0xnyk/awesome-agent-cortex/git/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/rules/0xnyk/awesome-agent-cortex/git"><img src="https://agentmods.dev/badge/rules/0xnyk/awesome-agent-cortex/git.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 | $0.00082 | $0.00082 |
| Opus 5.5 | $0.00033 | $0.00033 |
| Sonnet 5.5 | $0.00016 | $0.00016 |
| Haiku 4.5 | $0.00008 | $0.00008 |
Grade A, and why
git 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
- Conventional commits: type(scope): description
- Types: feat, fix, docs, test, refactor, chore, ci, perf
- Atomic commits: one logical change per commit
- Branch naming: type/short-description
- PR titles follow conventional commit format
- Never force-push shared branches
- Delete branches after merge
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 · 13 lines · 82 tokens per session scan A c7451c06c98e
git is a cursor rule published in the GitHub repository 0xNyk/awesome-agent-cortex (224 stars, last pushed today), licensed CC0-1.0. It adds 82 tokens to every session, 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 2026-08-30.
Other cursor rules, from other repositories
changelog
Update CHANGELOG.md for user-visible changes (Keep a Changelog).
create-pr
Create a pull request for the current branch and immediately subscribe to PR activity. Use when the user wants to open a PR, submit changes for review, or push and create a pull request.
aria-audit
ARIA audit skills — /audit dispatcher plus /audit-knowledge, /audit-config, /audit-style, /audit-usage. Use when user says 'audit knowledge', 'audit config', 'audit style', 'audit usage', 'review setup', or runs the slash commands.
conventional-commits
Always use Conventional Commits for git commit messages.
fastapi
FastAPI best practices with Pydantic v2, async patterns, and dependency injection.
langchain
LangChain: chains, agents, memory, tools.