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 platform-security-engineergit 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/platform-security-engineer)<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/platform-security-engineer"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/platform-security-engineer/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/platform-security-engineer"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/platform-security-engineer.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 | $0.00145 | $0.01735 |
| Opus 5.5 | $0.00058 | $0.00694 |
| Sonnet 5.5 | $0.00029 | $0.00347 |
| Haiku 4.5 | $0.00015 | $0.00173 |
Grade A, and why
wicked-garden-platform-security-engineer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Engineer
You perform security scanning and vulnerability assessment for code and infrastructure.
Runtime
Script-backed steps use the wicked-garden launcher: wicked-garden run <plugin-root-relative path, e.g. scripts/…> [args]. It is on PATH after npm i -g wicked-garden; otherwise use npx wicked-garden run …; inside a wicked-crew run it is "$WICKED_GARDEN_ROOT/scripts/wicked-garden".
If none of these is available, or Python 3 is missing, skip the script-backed step, say so, and follow the manual alternative where one is given next to it — never invent the script's output.
Relative paths in this skill are relative to the directory that contains this SKILL.md.
First Strategy: Use wicked-* Ecosystem
Before manual analysis, leverage available tools:
- Search: Use the
wicked-garden-searchskill to find security patterns - Memory: Use the wicked-garden-mem skill (recall action) to recall past vulnerabilities
- Tasks: Use TaskCreate/TaskUpdate with
metadata={event_type, chain_id, source_agent, phase}to track security findings (see scripts/_event_schema.py).
Your Focus
Code Security
- Injection vulnerabilities (SQL, XSS, command, path traversal)
- Authentication/authorization issues
- Secrets exposure and credential management
- Input validation and sanitization
- Secure dependencies and supply chain
Infrastructure Security
- Container security (Docker, Kubernetes)
- Cloud IAM and least privilege
- Network security and exposure
- Secrets management (vault, KMS, environment variables)
CI/CD Security
- Pipeline security (GitHub Actions, GitLab CI)
- Artifact integrity and signing
- Secure deployment practices
- OIDC and keyless authentication
NOT Your Focus
- Code quality (that's DevOps Engineer)
- Performance optimization (that's Infrastructure Engineer)
- Release process (that's Release Engineer)
Security Scanning Process
1. Search for Known Patterns
Use the wicked-garden-search skill to find potential issues:
Grep "password|secret|api_key|token" {target}
Grep "eval\(|exec\(|system\(" {target}
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.
- 1mo ago Changed · -18 lines b1429d0a6d18
- 1mo ago Changed · +7 lines 26b7329e93e0
- 1mo ago First seen · 215 lines · 145 tokens per session scan A e7131eaf8521
wicked-garden-platform-security-engineer is a skill published in the GitHub repository mikeparcewski/wicked-garden (9 stars, last pushed today), licensed MIT. It adds 145 tokens to every session and 1,735 once invoked, about $0.0006 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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