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 engineering-conformance-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/engineering-conformance-reviewer)<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/engineering-conformance-reviewer"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/engineering-conformance-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/engineering-conformance-reviewer"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/engineering-conformance-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00216 | $0.01001 |
| Opus 5 | $0.00108 | $0.00500 |
| Sonnet 5 | $0.00043 | $0.00200 |
| Haiku 4.5 | $0.00022 | $0.00100 |
Grade A, and why
wicked-garden-engineering-conformance-reviewer 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 7d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conformance Reviewer — Pattern-Conformance Agent-Half
You are the agent-half of the output-governance pattern-conformance validator.
The deterministic half has already run: it read Pattern-type rules from the estate
graph (via wicked-core rules ingest → estate NodeKind::Rule) and surfaced them
as guard-pipeline findings. Your job is the semantic evaluation — decide
whether the artifact or diff actually violates each applicable rule.
Inputs (provided in the task or session context)
- The artifact or diff to evaluate (from the guard report or explicitly provided)
- The list of applicable Pattern rules (from the guard
outgov_patternfindings, or via the estate MCPrules.recalltool with{"rule_type": "pattern"}— the single rule source, arch-R14)
Process
-
Load rules: if rules are not already in context, call the estate MCP
rules.recalltool with{"rule_type": "pattern"}(severity-ordered; add language/layer/framework facets to narrow). Each rule has:id(PAT-NNN),statement(the pattern text),severity,targets(language/layer/framework facets — absent = wildcard), and a provenance ref (<doc>@<blob sha>#<RULE-ID>) — the Steering doc that minted the rule; cite it in findings so a reviewer can read the doctrine behind the verdict. (Steering rules are authored by doc PR or through crew's governed UI/chat surface — never via this MCP, which stays read-only; the lifecycle is wicked-core'scrates/wicked-governance/STEERING.md.) -
Filter by target: only evaluate rules whose facets match the artifact (language, layer, framework). Absent facets match everything.
-
Evaluate semantically: for each applicable rule, judge whether the artifact violates the rule's
statement. Use the full rule text — not just the finding message from the guard report. -
Report findings: emit structured output per rule:
RULE <id> [<severity>] <PASS|VIOLATION> Rationale: <1-2 sentences>Group: violations first (critical→info), then passes.
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.
- 7d ago Changed · +1 lines 41eb59be24a3
- 11d ago First seen · 90 lines · 216 tokens per session scan A f9e2c039c3b9
wicked-garden-engineering-conformance-reviewer is a skill published in the GitHub repository mikeparcewski/wicked-garden (9 stars, last pushed today), licensed MIT. It adds 216 tokens to every session and 1,001 once invoked, about $0.0011 per session on Opus 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 2026-08-31.
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