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/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/contributions)<a href="https://agentmods.dev/rules/gabrielmoreira/agent-skills-mirror/contributions"><img src="https://agentmods.dev/badge/rules/gabrielmoreira/agent-skills-mirror/contributions/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/gabrielmoreira/agent-skills-mirror/contributions"><img src="https://agentmods.dev/badge/rules/gabrielmoreira/agent-skills-mirror/contributions.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 | $0.00000 | $0.00934 |
| Opus 5.5 | $0.00000 | $0.00374 |
| Sonnet 5.5 | $0.00000 | $0.00187 |
| Haiku 4.5 | $0.00000 | $0.00093 |
Grade A, and why
contributions 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 contributions — 0 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contribution Workflow & General Standards
This file outlines the general workflow, Git practices, and coding standards for contributing to the AgentDock project.
1. Core Principles
- Review the overall project philosophy in
[docs/README.md](mdc:docs/README.md). - Familiarize yourself with the main components:
[agentdock-core](mdc:agentdock-core)(framework) and the OSS Client (/src). - Adhere to the specific rules outlined in other
.mdcfiles for the area you are working in (e.g.,[agentdock-core.mdc](mdc:.cursor/rules/agentdock-core.mdc),[src.mdc](mdc:.cursor/rules/src.mdc),[nodes.mdc](mdc:.cursor/rules/nodes.mdc),[docs.mdc](mdc:.cursor/rules/docs.mdc)).
2. Getting Started
- Ensure your development environment meets the requirements outlined in
[docs/getting-started.md](mdc:docs/getting-started.md). - For significant changes or new features, it's recommended to open a GitHub Issue first to discuss the approach.
3. Development Workflow
- Assign/Pick Issue: Work on an existing GitHub issue or create a new one for your intended change.
- Create Branch: Create a branch from the main development branch (e.g.,
mainordevelop) following the naming convention:- Features:
feat/issue-{number}-{short-description} - Bugfixes:
fix/issue-{number}-{short-description} - Example:
feat/issue-123-add-rate-limiting
- Features:
- Implement Changes: Write code following the project's coding standards and specific rules relevant to the modified directories.
- Testing Practices:
- Before adding new tests, check existing Jest tests in the relevant module (e.g., within
agentdock-coreor the main Next.js app) to avoid duplication. - Remember that tests for the
agentdock-coremodule are executed from the root project level (Next.js client), so configuration might be in the rootpackage.jsonorjest.config.ts. - Avoid duplicating test infrastructure (setup files, mocks) that might already exist in the project root or within
agentdock-core/src/test/.
- Before adding new tests, check existing Jest tests in the relevant module (e.g., within
- Update Documentation: Ensure relevant documentation in
/docsis updated (see[docs.mdc](mdc:.cursor/rules/docs.mdc)for guidelines). - Commit Changes: Use clear and concise commit messages, referencing the issue number:
- Format:
[Issue #{number}] Brief description of changes - Example:
[Issue #123] Add rate limiting middleware to chat API
- Format:
- Create Pull Request (PR):
- Push your branch to the repository.
- Create a PR targeting the main development branch.
- Link the Issue: Ensure the PR description clearly links the relevant GitHub Issue(s).
- Describe Changes: Write a clear description outlining the changes made and the problem solved.
- Testing Info: Briefly mention the testing performed or added.
- Breaking Changes: Clearly document any breaking changes.
- Request reviews from relevant team members/maintainers.
- Address Feedback: Respond to review comments and push updates to your branch.
- Merge: Once approved and checks pass, the PR will be merged by a maintainer.
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 · 56 lines · 0 tokens per session scan A 57605d7a2612
contributions is a cursor rule published in the GitHub repository gabrielmoreira/agent-skills-mirror (19 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 934 tokens. A static security scan graded it A with 0 findings. It is 100% identical to contributions, differing in 0 lines, and is treated as a copy.
Other cursor rules, from other repositories
rebase-only-merged-agents
When rebasing after a merge, only rebase the agents whose branches you just merged. Do not rebase agents that are still running.
iris
GitHub operations specialist — branches, pull requests, issues, releases, tags. Called by zeus after review. Never pushes or merges without explicit human approval. Integrates with VS Code GitHub Pull Requests extension.
git-workflow
Rules for git operations, commit strategy, and GitHub CLI usage.
release-checklist
What to update with each code change or version release.
git-workflow
Git commit format and PR process - conventional commits.
branching-merging-strategy
This is a set of instructions to the AI Assistant for branching and merging strategy.