Guides when to ask clarifying questions versus proceed autonomously. Use to reduce unnecessary clarifying questions when intent is clear
编程
war-room-checkpoint
试用Assesses decision reversibility and risk at critical checkpoints
它能做什么
Assesses decision reversibility and risk at critical checkpoints
技能文档
Night Market Skill — ported from claude-night-market/attune. For the full experience with agents, hooks, and commands, install the Claude Code plugin.
War Room Checkpoint Skill
Lightweight inline assessment for determining whether a decision point within a command warrants War Room escalation.
Table of Contents
- Purpose
- When Commands Should Invoke This
- Invocation Pattern
- Checkpoint Flow
- Confidence Calculation
- Profile Thresholds
- Output Format
- 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:
- Calculate Reversibility Score (RS) for the current context
- Determine if full War Room deliberation is needed
- 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 <= profile.express_ceiling:
mode = "express"
elif RS <= profile.lightweight_ceiling:
mode = "lightweight"
elif RS <= profile.full_council_ceiling:
mode = "full_council"
else:
mode = "delphi"
Step 4: Response Generation
Express Mode (RS <= threshold)
Return immediately with recommendation:
response:
should_escalate: false
selected_mode: "express"
reversibility_score: {rs}
decision_type: "Type 2"
recommendation: "{quick_recommendation}"
rationale: "{brief_explanation}"
confidence: 0.9
requires_user_confirmation: false
Escalate Mode (RS > threshold)
Invoke full War Room and return results:
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 < 0.3
- 0.15 if RS > 0.80
- 0.10 if novel_domain
- 0.10 if compound_decision
+ 0.20 if unanimous (cap at 1.0)
requires_user_confirmation = (confidence <= 0.8)
Profile Thresholds
| Profile | Express | Lightweight | Full Council | Use Case |
|---|---|---|---|---|
| default | 0.40 | 0.60 | 0.80 | Balanced |
| startup | 0.55 | 0.75 | 0.90 | Move fast |
| regulated | 0.25 | 0.45 | 0.65 | Compliance |
| fast | 0.50 | 0.70 | 0.90 | Speed priority |
| cautious | 0.30 | 0.50 | 0.70 | Higher stakes |
Command-Specific Adjustments
| Command | Adjustment | Rationale |
|---|---|---|
| do-issue (3+ issues) | -0.10 | Higher risk with multiple issues |
| pr-review (strict mode) | -0.15 | Strict mode = higher scrutiny |
| architecture-review | -0.05 | Architecture inherently consequential |
Output Format
For Calling Command
Return a structured response that the calling command can act on:
## Checkpoint Response
**Source**: {source_command}
**Decision**: {decision_needed}
### Assessment
- **RS**: {reversibility_score} ({decision_type})
- **Mode**: {selected_mode}
- **Escalated**: {yes|no}
### Recommendation
{recommendation_or_orders}
### Control Flow
- **Confidence**: {confidence}
- **Auto-continue**: {yes|no}
{user_prompt_if_needed}
Integration Notes
Calling Commands Should
- Check checkpoint response's
requires_user_confirmation - If true: present confirmation prompt and wait
- If false: continue with
ordersorrecommendation - Log checkpoint to audit trail
Failure Handling
If checkpoint invocation fails:
- Log warning with context
- Continue command execution without checkpoint
- Do NOT block the user's workflow
Audit Trail
Checkpoints are logged to:
~/.claude/memory-palace/strategeion/checkpoints/{date}/{checkpoint-id}.json
Each file contains a CheckpointEntry with: checkpoint_id, session_id, phase,
action, reversibility_score, dimensions, confidence, files_affected, and
requires_user_confirmation.
After a war room session completes and persist_session() is called, an audit report
is written automatically to:
~/.claude/memory-palace/strategeion/war-table/{session-id}/audit-report.json
The report consolidates: all checkpoints for the session, the expert panel, voting summary with unanimity score, escalation history, final decision and rationale, and a Merkle-DAG integrity verification block. The verification recomputes every node hash against the stored values so any tampering with deliberation content is detectable.
Use AuditTrailManager from scripts.war_room.audit_trail to query checkpoints or
generate reports programmatically:
from scripts.war_room.audit_trail import AuditTrailManager
manager = AuditTrailManager()
checkpoints = manager.get_checkpoints("war-room-20260303-100000")
audited = manager.list_audited_sessions()
Examples
Example 1: Low RS (Express)
Input:
source_command: "do-issue"
decision_needed: "Execution order for issues #101, #102"
issues_involved: [101, 102]
files_affected: ["src/utils/helper.py", "tests/test_helper.py"]
Assessment:
- Reversal Cost: 1 (can revert commits)
- Time Lock-In: 1 (no deadline)
- Blast Radius: 1 (single utility module)
- Information Loss: 1 (all options preserved)
- Reputation Impact: 1 (internal)
RS: 0.20 (Type 2)
Response:
should_escalate: false
selected_mode: "express"
recommendation: "Execute in parallel - no dependencies detected"
confidence: 0.95
requires_user_confirmation: false
Example 2: High RS (Escalate)
Input:
source_command: "pr-review"
decision_needed: "Review verdict for PR #456"
blocking_items:
- {type: "architecture", description: "New service without ADR"}
- {type: "breaking", description: "API contract change"}
- {type: "security", description: "Auth flow modification"}
- {type: "scope", description: "Unrelated payment refactor"}
files_affected: ["src/auth/", "src/api/", "src/payment/", "src/services/new/"]
Assessment:
- Reversal Cost: 4 (multi-service impact)
- Time Lock-In: 3 (PR deadline pressure)
- Blast Radius: 4 (cross-team impact)
- Information Loss: 3 (some paths closing)
- Reputation Impact: 2 (internal review)
RS: 0.64 (Type 1A)
Response:
should_escalate: true
selected_mode: "full_council"
war_room_session_id: "war-room-20260125-143025"
orders:
- "Split PR: auth changes separate from payment refactor"
- "Require ADR for new service before merge"
- "API change: add migration path, not blocking"
confidence: 0.75
requires_user_confirmation: true
Related Skills
Skill(attune:war-room)- Full War Room deliberationSkill(attune:war-room)/modules/reversibility-assessment.md- RS framework
Related Commands
/attune:war-room- Standalone War Room invocation/do-issue- Issue implementation (uses this checkpoint)/pr-review- PR review (uses this checkpoint)/architecture-review- Architecture review (uses this checkpoint)/fix-pr- PR fix (uses this checkpoint)
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