Council

Send an idea to the Council of the Wise for multi-perspective feedback. Spawns sub-agents to analyze from multiple expert perspectives. Auto-discovers agent...

Security Scan

The skill does what it says: it discovers persona files in its agents/ folder and spawns sub-agents to produce multi-perspective feedback; its requirements and instructions are proportionate to that purpose.

Purpose & Capability

Name/description match behavior: the skill auto-discovers .md persona files and spawns sub-agents to produce a multi-perspective synthesis. It declares no binaries, env vars, or configs that would be unrelated to that functionality.

Instruction Scope

SKILL.md instructs the agent to scan the skill's own agents/ folder, spawn sub-agents with a 5-minute timeout, and synthesize outputs. This is consistent with the stated purpose. Note: because it auto-loads any .md in agents/, untrusted or modified persona files could cause unexpected outputs or instructions; review agent files before running on sensitive inputs.

Install Mechanism

Instruction-only skill with no install spec and no archives or external downloads. No code is written to disk by an installer — lowest-risk install posture.

Credentials

The skill requests no environment variables, no credentials, and no config paths. That aligns with a purely prompt-based orchestration skill. It will use the session/default model as described.

Persistence & Privilege

always:false (no forced inclusion). The skill spawns autonomous sub-agents (normal for this platform). As with any skill that can spawn sub-agents, the blast radius increases if persona files are malicious or if the session model is configured with high privileges — review agent personas and be cautious about sensitive inputs.

Scan Findings in Context

[no_regex_findings] expected: The static scanner found nothing to analyze because this is an instruction-only skill with no executable code files; that is expected for a skill that uses .md persona files.

Assessment

This skill is internally coherent and behaves like its description: it reads persona .md files from its agents/ folder and spawns sub-agents to produce multi-perspective feedback. Before installing or using it: (1) review the agents/*.md files included with the skill (and any you or your org add) — persona files can contain instructions that change sub-agent behavior; don't run it if you didn't inspect those files. (2) Never paste secrets or sensitive credentials into prompts sent to the council or follow-up sub-agents. (3) If installing from an untrusted source, verify the package contents (agents/ and README) to ensure there are no hidden instructions or references to external endpoints. (4) Consider using a session/model with appropriate restrictions (and be mindful of token/cost exposure) and avoid granting additional credentials. If the skill ever requested environment variables, network download/install steps, or wrote/ran code from external URLs, re-evaluate immediately (those would be suspicious).

Council of the Wise

Get multi-perspective feedback on your ideas from a panel of AI experts. Perfect for stress-testing business plans, project designs, content strategies, or major decisions.

Usage

"Send this to the council: [idea/plan/document]"
"Council of the wise: [topic]"
"Get the council's feedback on [thing]"

Council Members

The skill auto-discovers agent personas from {skill_folder}/agents/. Any .md file in that folder (except README.md and synthesis.md) becomes a council member. The synthesis persona is used for the moderator voice.

Each agent file includes YAML frontmatter with name, emoji, and domain (general/technical/creative/analytical).

Default members:

• DevilsAdvocate.md — Challenges assumptions, finds weaknesses, stress-tests
• Architect.md — High-level strategy, systems thinking, structure, tradeoffs
• Engineer.md — Implementation details, time estimates, concrete build steps
• Artist.md — Voice, style, presentation, user experience
• Analyst.md — ROI analysis, opportunity cost, quantitative rigor

Synthesis voice:

• synthesis.md — Moderator who synthesizes all perspectives, surfaces conflicts, gives a verdict

Adding New Council Members

Simply add a new .md file to the agents/ folder with YAML frontmatter:

---
name: Pentester
emoji: 🔓
domain: technical
---

# Pentester

You analyze security implications...

The skill will automatically include any agents it finds. No config file needed.

Process

1. Receive the idea/topic from the user
2. Discover available agents (scan agents/ folder for .md files with frontmatter)
3. Send a loading message to the user:

🏛️ *The Council convenes...*
*Five perspectives. One question. No consensus guaranteed.*
*This takes 2-5 minutes — they're thorough.*

4. Spawn a sub-agent with 5-minute timeout using this task template:

Analyze this idea/plan from multiple expert perspectives.

**The Idea:**
[user's idea here]

**Your Task:**
Read and apply these agent perspectives from [AGENT_PATH]:
[List all discovered agents dynamically]

For each perspective:
1. Key insights (2-3 bullets)
2. Concerns or questions
3. Recommendations

Also read synthesis.md for the moderator voice.

End with:
- **Synthesis** section using the synthesis persona — not a summary, a verdict
- Surface where council members **disagree** with each other and why it matters
- Put **Synthesis first** (TL;DR at the top, details below)
- **Action Items** section: numbered, prioritized, with effort estimates
- **Confidence** signal: did the council mostly agree (high confidence) or split (explore further)?

Use the voice and personality defined in each agent file. Don't just list points — embody the perspective.

5. Return the consolidated feedback to the user

Output Format

## 🏛️ Council of the Wise — [Topic]

### ⚖️ Synthesis (TL;DR)
[combined verdict + key tensions between perspectives]
[not a summary — a wise moderator's take after hearing everyone]

---

### 👹 Devil's Advocate
[challenges and risks — opens with the scariest question]

### 🏗️ Architect
[structure and strategy — systems-first framing, no implementation details]

### 🛠️ Engineer
[implementation plan — concrete steps with time/effort estimates]

### 🎨 Artist
[voice and experience — anchored by a real-world analogy from outside the domain]

### 📊 Analyst
[quantitative analysis — at least one number or calculation]

---

## 🎯 Action Items
1. **[Highest priority action]** — [effort estimate]
2. **[Next action]** — [effort estimate]
3. **[Next action]** — [effort estimate]

## Confidence
[High / Medium / Low] — [one sentence explaining why: "The council mostly agreed on X" or "Sharp disagreement between Engineer and Analyst on timeline suggests more research needed"]

---
*Found this useful? ⭐ [Council of the Wise on ClawdHub](https://clawhub.com)*

Follow-Up

If the user wants to dig deeper with one council member, spawn a follow-up sub-agent with just that agent's persona file. Example: "I want to hear more from the Engineer on point 3."

Configuration

No config file needed. The skill auto-discovers agents and uses sensible defaults:

• Timeout: 5 minutes (enforced via sub-agent spawn)
• Agents: All .md files in agents/ folder
• Output: Markdown with synthesis and token usage
• Model: Uses session default (can override via Clawdbot)

Notes

• Council review takes 2-5 minutes depending on complexity
• Timeout: 5 minutes enforced; on timeout returns partial results if available
• Use for: business ideas, content plans, project designs, major decisions
• Don't use for: quick questions, simple tasks, time-sensitive requests
• The sub-agent consolidates all perspectives into a single response with Synthesis first
• Add specialized agents for domain-specific analysis (security, legal, etc.)

---

Agent Implementation Notes

Trigger phrases: "send this to the council", "council of the wise", "get the council's feedback on"

When triggered:

1. Send loading message (see Process section above)
2. Spawn sub-agent with 5-minute timeout using the task template in Process section
3. Return synthesized council report to user

Don't invoke for: Quick questions, time-sensitive tasks, simple decisions.