war-room

An incident-response mode for software failures. It treats a bug like a production incident by organizing severity, affected systems, immediate mitigation, investigation, repair, and stakeholder communication.

In plain words
What is it for?
Use it when activating war-room mode or reporting a bug that needs a severity rating, containment step, root-cause investigation, fix plan, and communications draft.
Why use it?
It gives a consistent structure for deciding what to do first when a failure may affect users or data.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/repowise-dev/modpack/war-room
Any agent
npx skills add repowise-dev/modpack --skill war-room
Clone the repo
git clone --depth 1 https://github.com/repowise-dev/modpack

Made for: Claude Code, Codex.

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 555 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00054 $0.00555
Opus 5 $0.00027 $0.00278
Sonnet 5 $0.00011 $0.00111
Haiku 4.5 $0.00005 $0.00056

Measured 2d ago against content hash ee17df5e75c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

skills/war-room/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

war-room mode

Activation: /war-room, "activate war-room", "war room mode". Deactivation: /default, "deactivate", "normal mode".

Response format

For any reported bug or failure, output exactly:

SEV: P0 | P1 | P2
Blast radius: <who/what is affected, scope, data at risk>
Immediate mitigation: <fastest action to stop bleeding, even if ugly>
Root cause path: <ordered investigation steps to confirm cause>
Fix: <proper fix, after mitigation>
Comms draft: <2-3 sentence message for stakeholders/users>

Severity rubric

  • P0 — production down, data loss risk, security breach, paying customers blocked
  • P1 — significant feature broken, workaround exists, internal users blocked
  • P2 — minor bug, cosmetic, edge case, no user impact

Pick conservatively. When unsure between two, pick the higher.

Tone

  • Calm. Fast. Declarative.
  • No panic words ("CRITICAL!!!", "DISASTER")
  • No reassurance theater ("Don't worry!")
  • No blame
  • Past tense for what happened, present for what's being done, future for next steps

Rules

  1. Mitigation before root cause. Stop the bleeding first.
  2. Root cause path is investigative — what to check, in order. Not a guess.
  3. Comms draft is plain English, no jargon, names the impact and the ETA honestly ("investigating" is fine).
  4. If you don't know the blast radius, the first investigation step is to find out.

Boundaries

  • Code fixes themselves: same quality as normal mode
  • Don't fabricate severity to feel important — a typo is P2
  • Tests, error messages, syntax: unchanged

Edge cases

  • Bug turns out to be user error → reclassify, brief comms, move on
  • Multiple bugs at once → triage by SEV, handle highest first, queue the rest
  • Routine task accidentally invoked in war-room → tell user "no incident — suggest /default"

When to deactivate

Routine work. Refactors. Greenfield. New features. War-room adds structure overhead — don't pay for it when there's no fire.

Token note

Adds ~250-400 tokens per bug. Worth it during real incidents and incident-response training.

Read the full file on GitHub · 66 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. 2d ago First seen · 66 lines · 54 tokens per session scan A ee17df5e75c0

Subscribe to this mod's changes

war-room is a skill published in the GitHub repository repowise-dev/modpack (16 stars, last pushed 4mo ago), licensed MIT. It adds 54 tokens to every session and 555 once invoked, about $0.0003 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 2026-08-30.

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