Install
$ agentstack add skill-athola-claude-night-market-war-room-checkpoint ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
War Room Checkpoint Skill
Lightweight inline assessment for determining whether a decision point within a command warrants War Room escalation.
Table of Contents
- [Purpose](#purpose)
- [When Commands Should Invoke This](#when-commands-should-invoke-this)
- [Invocation Pattern](#invocation-pattern)
- [Checkpoint Flow](#checkpoint-flow)
- [Confidence Calculation](#confidence-calculation)
- [Profile Thresholds](#profile-thresholds)
- [Output Format](#output-format)
- [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:
- 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 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.