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 athola/claude-night-market --skill war-roomgit clone --depth 1 https://github.com/athola/claude-night-marketWrote 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/athola/claude-night-market/war-room)<a href="https://agentmods.dev/skills/athola/claude-night-market/war-room"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/war-room/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/athola/claude-night-market/war-room"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/war-room.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 6 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00035 | $0.04329 |
| Opus 5 | $0.00017 | $0.02165 |
| Sonnet 5 | $0.00007 | $0.00866 |
| Haiku 4.5 | $0.00003 | $0.00433 |
Grade A, and why
war-room 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 9d 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 — 515 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
The War Room convenes multiple AI experts to analyze problems from diverse perspectives, challenge assumptions through adversarial review, and synthesize optimal approaches under the guidance of a Supreme Commander.
Philosophy
"The trick is that there is no trick. The power of intelligence stems from our vast diversity, not from any single, perfect principle."
- Marvin Minsky, Society of Mind
Reversibility-Based Routing
Before deliberation, assess the Reversibility Score (RS) to determine appropriate resource allocation:
RS = (Reversal Cost + Time Lock-In + Blast Radius + Information Loss + Reputation Impact) / 25
| RS Range | Type | Mode | Resources |
|---|---|---|---|
| 0.04 - 0.40 | Type 2 | Express | 1 expert, < 2 min |
| 0.41 - 0.60 | Type 1B | Lightweight | 3 experts, 5-10 min |
| 0.61 - 0.80 | Type 1A | Full Council | 7 experts, 15-30 min |
| 0.81 - 1.00 | Type 1A+ | Delphi | 7 experts, 30-60 min |
Quick Heuristics:
- Can be A/B tested? → Type 2
- Requires data migration? → Type 1
- Public commitment required? → Type 1A+
See modules/reversibility-assessment.md for full scoring guide.
When To Use
- Architectural decisions with major trade-offs
- Multi-stakeholder problems requiring diverse perspectives
- High-stakes choices with significant consequences (RS > 0.60)
- Novel problems without clear precedent
- When brainstorming produces multiple strong competing approaches
When NOT To Use
- Simple questions with obvious answers
- Routine implementation tasks
- Well-documented patterns with clear solutions
- Time-critical decisions requiring immediate action
- Type 2 decisions (RS ≤ 0.40): use Express mode or skip War Room entirely
Expert Panel
Default (Lightweight Mode)
| Role | Model | Purpose |
|---|---|---|
| Supreme Commander | Claude Opus | Final synthesis, escalation decisions |
| Chief Strategist | Claude Sonnet | Approach generation, trade-off analysis |
| Red Team | Gemini Flash | Adversarial challenge, failure modes |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 515 lines · 35 tokens per session scan A ab0faf99cb17
war-room is a skill published in the GitHub repository athola/claude-night-market (337 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 4,329 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
council
../../SKILL.md.
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