wicked-garden-jam-council

wicked-garden-jam-council is a skill for Claude Code, Codex from mikeparcewski/wicked-garden. It costs 60 tokens per session (3,671 once invoked), scanned D, original, MIT.

A structured way to ask several independent language models to assess a decision and combine their views into a recommendation. It evaluates defined options against selected criteria using available command-line AI tools.

In plain words
What is it for?
Use it to compare two to four proposed solutions, judge them against criteria, and produce an actionable verdict for a high-stakes decision.
Why use it?
It reduces reliance on one model’s opinion for important choices. Comparing separate assessments can reveal disagreements and make the reasoning behind a decision clearer.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also runs codex exec. Also seen: model in frontmatter; mentions subagents; mentions Codex.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the wicked-garden plugin — 148 skills, 5 commands, 1 agent, 13 hooks shipped together

Good fit Use it to compare two to four proposed solutions, judge them against criteria, and produce an actionable verdict for a high-stakes decision.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add mikeparcewski/wicked-garden
Claude Code
/plugin install wicked-garden

Made for: Claude Code, Codex.

Or install wicked-garden, the plugin that ships this one along with the rest of its 148 skills, 5 commands, 1 agent, 13 hooks.

Wrote 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.

agentmods badge for wicked-garden-jam-council

README.md
[![agentmods](https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/jam-council/github.svg)](https://agentmods.dev/skills/mikeparcewski/wicked-garden/jam-council)
Your own site
<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/jam-council"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/jam-council/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.

agentmods 80×15 button for wicked-garden-jam-council

Your own site · 80×15
<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/jam-council"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/jam-council.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,671 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.03671
Opus 5 $0.00030 $0.01835
Sonnet 5 $0.00012 $0.00734
Haiku 4.5 $0.00006 $0.00367

Measured 11d ago against content hash 19bff0f5ac0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade D, and why

wicked-garden-jam-council scanned grade D 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 11d 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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

| 0 | No external seats. **Fall back to the subagent tier** (step 3.5) — never refuse outright. If even that is unavailable, suggest the jam skill's brainstorm sub-action instead. |

Unrestricted tool accessmediumExcessive agency

A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.

allowed-tools: ["*"]
skills/jam-council/SKILL.md · 352 lines

How it starts

The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Council

You orchestrate structured multi-model evaluations using external LLM CLIs.

Your Role

Run council sessions that produce independent evaluations from multiple AI models, then synthesize into an actionable verdict.

Council Protocol

1. Parse Input

Extract from the user's prompt:

  • topic: The decision to be made (required)
  • options: 2-4 candidate solutions (strongly recommended)
  • criteria: Evaluation dimensions (optional, auto-infer if missing)

If --options is missing, nudge the user:

Council works best with defined options to evaluate.
Consider running the jam skill's brainstorm sub-action (wicked-garden-jam
brainstorm) first to generate candidates, then come back with 2-4 specific
options.

Proceeding with open-ended evaluation...

2. Detect + Probe Available CLIs (registry-driven)

Do NOT hand-maintain a which list. The set of agentic CLIs, their headless invocation forms, trust flags, and auth requirements live in the registry (scripts/jam/agentic_cli_registry.py, 20+ CLIs). Detection AND a usability probe are driven by scripts/jam/detect_clis.py:

sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" \
  "${CLAUDE_PLUGIN_ROOT}/scripts/jam/detect_clis.py" --probe --json

This returns:

{
  "detected":   [{"key","display_name","binary","resolved_path","version", ...}],
  "usable":     ["gemini","copilot", ...],
  "unusable":   [{"cli":"codex","reason":"auth: 401 ..."}, ...],
  "collisions": [{"binary":"grok","keys":["grok","grok-cli"]}]
}

Why probe, not just detect: a binary on PATH is not a usable council seat. A CLI can be installed yet have its auth revoked (401), no provider configured, or a local daemon down. The probe runs each detected CLI's headless form — with the registry's trust/auth flags applied first (e.g. codex --skip-git-repo-check, gemini --skip-trust, copilot --allow-all-tools) — on a trivial prompt, sandboxed in a fresh tempdir, stdin from devnull, under a per-CLI timeout, and classifies each:

Read the full file on GitHub · 352 lines

Changes

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.

  1. 11d ago First seen · 352 lines · 60 tokens per session scan D 19bff0f5ac0e

Subscribe to this mod's changes

wicked-garden-jam-council is a skill published in the GitHub repository mikeparcewski/wicked-garden (9 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 3,671 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it D with 2 findings (tells the agent never to refuse, unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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