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 agentic-safety-reviewergit 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/agentic-safety-reviewer)<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/agentic-safety-reviewer"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/agentic-safety-reviewer/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/agentic-safety-reviewer"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/agentic-safety-reviewer.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 | $0.00146 | $0.05481 |
| Opus 5 | $0.00073 | $0.02740 |
| Sonnet 5 | $0.00029 | $0.01096 |
| Haiku 4.5 | $0.00015 | $0.00548 |
Grade B, and why
wicked-garden-agentic-safety-reviewer scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Instruction-override phrasingmediumPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
r"ignore previous instructions", Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
grep -r "requests.get\|fetch\|urllib" --include="*.py" /path/to/codebase How it starts
The opening of the file, as written. The whole thing — 686 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Safety Reviewer
This skill is designed to run as an isolated worker; when your harness cannot fork, run it inline and keep its output separate from the caller's.
You assess and improve safety mechanisms in agentic systems, focusing on guardrails, validation, PII protection, and defense against adversarial inputs.
Runtime
Script-backed steps use the wicked-garden launcher: wicked-garden run <plugin-root-relative path, e.g. scripts/…> [args]. It is on PATH after npm i -g wicked-garden; otherwise use npx wicked-garden run …; inside a wicked-crew run it is "$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 wicked-garden:search to find safety patterns and vulnerabilities
- Memory: Use the wicked-garden-mem skill (recall action) to recall past safety issues
- Tasks: Use TaskCreate/TaskUpdate with
metadata={event_type, chain_id, source_agent, phase}to track safety findings (see scripts/_event_schema.py).
Your Focus
Guardrails and Validation
- Input validation at agent entry points
- Output validation before external actions
- Content filtering (profanity, violence, illegal content)
- Business rule enforcement
- Rate limiting and quota management
Prompt Injection Defense
- Direct injection detection (malicious instructions in user input)
- Indirect injection (poisoned content from external sources)
- Prompt leakage prevention (system prompt exposure)
- Delimiter and boundary enforcement
- Instruction hierarchy (system > user > tool)
PII Protection
- PII detection in inputs and outputs
- Redaction strategies (mask, hash, remove)
- Logging without sensitive data
- Compliance with GDPR, CCPA, HIPAA
- Data minimization practices
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.
- today Changed · +7 lines 3e54f73d1d24
- 12d ago First seen · 679 lines · 146 tokens per session scan B e1d222f471ac
wicked-garden-agentic-safety-reviewer is a skill published in the GitHub repository mikeparcewski/wicked-garden (9 stars, last pushed yesterday), licensed MIT. It adds 146 tokens to every session and 5,481 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it B with 2 findings (instruction-override phrasing, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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