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SKILL verified MIT Self-run

War Room Checkpoint

skill-athola-claude-night-market-war-room-checkpoint · by athola

Assesses decision reversibility and risk at critical checkpoints. Use when a workflow reaches a high-stakes branch needing escalation check.

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Install

$ agentstack add skill-athola-claude-night-market-war-room-checkpoint

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

War Room Checkpoint Skill

Lightweight inline assessment for determining whether a decision point within a command warrants War Room escalation.

Table of Contents

  1. [Purpose](#purpose)
  2. [When Commands Should Invoke This](#when-commands-should-invoke-this)
  3. [Invocation Pattern](#invocation-pattern)
  4. [Checkpoint Flow](#checkpoint-flow)
  5. [Confidence Calculation](#confidence-calculation)
  6. [Profile Thresholds](#profile-thresholds)
  7. [Output Format](#output-format)
  8. [Examples](#examples)

Verification

Run make test-checkpoint to verify checkpoint logic works correctly after changes.

Purpose

This skill is not invoked directly by users. It is called by other commands (e.g., /do-issue, /pr-review) at critical decision points to:

  1. Calculate Reversibility Score (RS) for the current context
  2. Determine if full War Room deliberation is needed
  3. Return either a quick recommendation (express) or escalate to full War Room

When Commands Should Invoke This

| Command | Trigger Conditions | |---------|-------------------| | /do-issue | 3+ issues, dependency conflicts, overlapping files | | /pr-review | >3 blocking issues, architecture changes, ADR violations | | /architecture-review | ADR violations, high coupling, boundary violations | | /fix-pr | Major scope, conflicting reviewer feedback |

Invocation Pattern

Skill(attune:war-room-checkpoint) with context:
  - source_command: "{calling_command}"
  - decision_needed: "{human_readable_question}"
  - files_affected: [{list_of_files}]
  - issues_involved: [{issue_numbers}] (if applicable)
  - blocking_items: [{type, description}] (if applicable)
  - conflict_description: "{summary}" (if applicable)
  - profile: "default" | "startup" | "regulated" | "fast" | "cautious"

Checkpoint Flow

Step 1: Context Analysis

Analyze the provided context to extract:

  • Scope of change (files, modules, services affected)
  • Stakeholders impacted
  • Conflict indicators
  • Time pressure signals

Step 2: Reversibility Assessment

Calculate RS using the 5-dimension framework:

| Dimension | Assessment Question | |-----------|-------------------| | Reversal Cost | How hard to undo this decision? | | Time Lock-In | Does this crystallize immediately? | | Blast Radius | How many components/people affected? | | Information Loss | Does this close off future options? | | Reputation Impact | Is this visible externally? |

Score each 1-5, calculate RS = Sum / 25.

Step 3: Mode Selection

Apply profile thresholds to determine mode:

if RS  threshold)

Invoke full War Room and return results:

```yaml
response:
  should_escalate: true
  selected_mode: "{lightweight|full_council|delphi}"
  reversibility_score: {rs}
  decision_type: "{Type 1B|1A|1A+}"
  war_room_session_id: "{session_id}"
  orders: ["{order_1}", "{order_2}"]
  rationale: "{war_room_rationale}"
  confidence: {calculated_confidence}
  requires_user_confirmation: {true_if_confidence_low}

Confidence Calculation

For escalated decisions, calculate confidence for auto-continue:

confidence = 1.0
- 0.10 * dissenting_view_count
- 0.20 if voting_margin  0.80
- 0.10 if novel_domain
- 0.10 if compound_decision
+ 0.20 if unanimous (cap at 1.0)

requires_user_confirmation = (confidence  profile threshold has `should_escalate: true`
  and triggers the full War Room via `Skill(attune:war-room)` before returning.
- [ ] Any response with `confidence` <= 0.8 sets `requires_user_confirmation: true` and presents
  a confirmation prompt to the user rather than auto-continuing.
- [ ] The checkpoint is logged to
  `~/.claude/memory-palace/strategeion/checkpoints/{date}/{checkpoint-id}.json`; if this write
  fails, the calling command proceeds and logs a warning rather than blocking the workflow.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [athola](https://github.com/athola)
- **Source:** [athola/claude-night-market](https://github.com/athola/claude-night-market)
- **License:** MIT
- **Homepage:** https://athola.github.io/claude-night-market

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.