adversarial-committee
Committee of personas with opposing propensities forcing genuine debate
Skill by SimHacker
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/adversarial-committee
What's inside
- Skill name
adversarial-committee- Description
- Committee of personas with opposing propensities forcing genuine debate
- License
- MIT
- Instructions
- 179 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (6)
- CARD.yml
- GLANCE.yml
- README.md
- SELECTION.md
- SKILL.md
- skill-snitch-report.md
SKILL.md (first lines)
# Adversarial Committee
> *"Ensemble inference over the latent space of possible framings."*
Multiple personas with incompatible values debate to surface blind spots.
## The Roster
```yaml
committee:
maya:
propensity: paranoid_realism
risk_tolerance: low
epistemology: assume_bad_faith
surfaces: "Political dynamics, hidden agendas, traps"
voice: "What aren't they telling us?"
frankie:
propensity: idealism
risk_tolerance: high
epistemology: assume_good_faith
surfaces: "Value conflicts, missed opportunities"
voice: "What if this is exactly what it seems?"
joe:
propensity: continuity_guardian
risk_tolerance: medium
epistemology: trust_precedent
surfaces: "Institutional memory, what worked before"
voice: "We tried this in 2019..."
vic:
propensity: evidence_prosecutor
risk_tolerance: medium
epistemology: prove_it
surfaces: "Data gaps, unverified claims"
voice: "Show me the numbers."
tammy:
propensity: systems_thinking
risk_tolerance: varies
epistemology: trace_feedback_loops
surfaces: "Unintended consequences, emergent effects"
voice: "If we do X, then Y will respond by..."
```
## Formation
```yaml
# committee/COMMITTEE.yml
committee:
name: "Strategy Review Board"
purpose: "Evaluate client engagement decision"
members:
- card: maya
role: devil's_advocate
- card: frankie
role: opportunity_scout
- card: joe
role: historian
- card: vic
role: evidence_checker
- card: tammy
role: systems_analyst
protocol: roberts-rules
evaluation: independent
rubric: client-evaluation-rubric.yml
```
## Debate Protocol
```yaml
debate:
rounds:
- opening_statements:
each_member: "State position in 2-3 sentences"
- cross_examination:
pattern: "Maya challenges Frankie, Vic challenges Maya..."
goal: "Surface hidden assumptions"
- evidence_phase:
vic_leads: "What do we actually know?"
others_contribute: "Supporting/contradicting data"
- synthesis:
tammy_maps: "Feedback loops and consequences"
all_contribute: "Refined positions"
- final_positions:
each_member: "Updated stance with confidence"
```
## Speed of Light Simulation
Within ONE LLM call:
```yaml
simulation:
- maya: "This client's reputation for scope creep concerns me."
- frankie: "But their budget is aligned and they're excited!"
- vic: "What's our data on scope creep? Past projects?"
- joe: "We had a similar client in 2022. It went badly."
- tammy: "If we take them on, our capacity for other work drops. If they creep, we can't serve existing clients..."
- maya: "See? Trap."
- frankie: "Unless we build in explicit scope boundaries..."
```
All personas speak authentically. No entity knows more than it should.
## Calibration
2-3 iterations tuning character behavior:
```yaml
calibration:
problems:From SimHacker/moollm, MIT.
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Signals
- Stars
- 60
- Forks
- 5
- Open issues
- 1
- Last commit (this folder)
- Oct 20, 2026 (8 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/SimHacker/moollm
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
adversarial-committee skill. Agent Mart. https://agentmart.dev/skills/simhacker-adversarial-committee (last updated 2026-10-24)