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 mikeparcewski/wicked-garden --skill github-actionsgit clone --depth 1 https://github.com/mikeparcewski/wicked-gardenWrote 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/mikeparcewski/wicked-garden/github-actions)<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/github-actions"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/github-actions/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/mikeparcewski/wicked-garden/github-actions"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/github-actions.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 | $0.00094 | $0.01332 |
| Opus 5.5 | $0.00038 | $0.00533 |
| Sonnet 5.5 | $0.00019 | $0.00266 |
| Haiku 4.5 | $0.00009 | $0.00133 |
Grade A, and why
wicked-garden-platform-github-actions 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.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill-local scripts (scripts/workflow_gen.py) are stdlib-only and run base-directory-relative with python3 (py -3 on Windows).
GitHub Actions Workflow Writing
Write production-ready GitHub Actions workflows with security and performance built in.
When to Use
- Creating new CI/CD workflows
- Optimizing slow or expensive workflows
- Adding deployment pipelines
- Security scanning and compliance
- Debugging workflow issues
Run modes
Invoked as <generate|optimize|troubleshoot> [workflow file]. For the full
rubric per mode, read refs/actions-rubric.md (relative to this skill's base directory)
— security/performance checklists, stack detection, and output format. Then
apply it directly:
- generate: detect the project stack first
(
ls package.json pyproject.toml Cargo.toml go.mod pom.xml 2>/dev/null), then produce complete workflow YAML. - optimize: read the target workflow file, apply the optimization checklist, return annotated diff.
- troubleshoot: run
gh run list --status failure --limit 1, fetch logs (gh run view {id} --log-failed), diagnose root cause inline.
Security-First Principles
Every workflow should follow these rules:
1. Explicit Permissions
# ALWAYS declare permissions explicitly
permissions:
contents: read # Minimum needed
# NEVER use write-all or leave permissions implicit
2. Pin Action Versions
# Good - pinned to SHA
uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608 # v4.1.0
# Acceptable - pinned to major version
uses: actions/checkout@v4
# Bad - unpinned
uses: actions/checkout@main
3. Sanitize Inputs
# NEVER interpolate untrusted input directly
run: echo "${{ github.event.issue.title }}" # DANGEROUS
# Use environment variables instead
env:
TITLE: ${{ github.event.issue.title }}
run: echo "$TITLE" # Safe
Core Patterns
Full copy-paste templates live in refs/templates.md. Quick reference:
| Template | Key shape | See |
|---|---|---|
| Minimal CI | permissions: contents: read + concurrency + actions/setup-node@v4 cache |
refs/templates.md § Node.js CI |
| Multi-Environment Deploy | Deploy job with environment: approval gates + OIDC-based AWS auth |
refs/templates.md § Deploy to AWS (OIDC) |
| OIDC for Cloud (No Secrets) | permissions: id-token: write + aws-actions/configure-aws-credentials@v4 |
refs/templates.md § Deploy to AWS (OIDC) |
| Docker build/push | docker/setup-buildx-action + docker/build-push-action with GHA cache |
refs/templates.md § Docker Build and Push |
| Security scanning | CodeQL on schedule + push, security-events: write permission |
refs/templates.md § Security Scanning |
What ships with it
5 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.
- 1mo ago Changed · -2 lines 4adf459fbb45
- 1mo ago Changed · +2 lines dd1bcc909f85
- 1mo ago First seen · 178 lines · 94 tokens per session scan A 226846b17c50
wicked-garden-platform-github-actions is a skill published in the GitHub repository mikeparcewski/wicked-garden (9 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 1,332 once invoked, about $0.0004 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 2026-09-03.
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