war-room-checkpoint

Solid

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

AI & Automation 308 stars 27 forks Updated today MIT

Install

View on GitHub

Quality Score: 96/100

Stars 20%
83
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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 ```markdown Skill(attune:war-room-checkpoint) with context: - source_command: "{calling_command}" - decision_needed: "{h...

Details

Author
athola
Repository
athola/claude-night-market
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category