Nm Leyline Risk Classification OpenClaw Skill

Inline risk classification for agent tasks using a 4-tier model. Hybrid routing: GREEN/YELLOW use heuristic file-pattern matching, RED/CRITICAL escalate to w...

v1.0.0 Recently Updated Updated 3 days ago

Installation

clawhub install nm-leyline-risk-classification

Requires npm i -g clawhub

48

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0

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1

current installs

1 all-time

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Night Market Skill — ported from claude-night-market/leyline. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Table of Contents

Risk Classification

Overview

Provides inline risk classification for agent tasks using a 4-tier model (GREEN/YELLOW/RED/CRITICAL). Uses fast heuristic file-pattern matching for low-risk tiers and delegates to Skill(attune:war-room-checkpoint) for high-risk tiers requiring full reversibility scoring.

When To Use

  • Assessing risk of tasks before agent assignment
  • Determining verification requirements for task completion
  • Deciding parallel execution safety between tasks
  • Adding risk markers to task checklists

When NOT To Use

  • Single-file trivial changes (assume GREEN)
  • Strategic architecture decisions (use full Skill(attune:war-room) instead)
  • Non-code tasks (documentation-only, configuration comments)

4-Tier Risk Model

Tier Color Scope Example Verification
GREEN Safe Single file, trivial revert Test files, docs, utils None required
YELLOW Caution Module-level, user-visible Components, routes, views Conflict check + test pass
RED Danger Cross-module, security/data Migrations, auth, database schema War-room RS + full test + review
CRITICAL Stop Irreversible, regulated Data deletion, production deploy War-room RS + human approval

Hybrid Routing

Task received
    |
    v
Heuristic classifier (file patterns)
    |
    ├── GREEN/YELLOW → Apply tier, continue
    |
    └── RED/CRITICAL → Invoke Skill(attune:war-room-checkpoint)
                        for reversibility scoring (RS)
                        |
                        └── RS confirms or adjusts tier

Why hybrid: GREEN/YELLOW classification is fast and deterministic (file pattern matching). RED/CRITICAL tasks warrant the overhead of full reversibility analysis because the cost of getting them wrong is high.

Task Metadata Extension

Add risk tier to task metadata for downstream consumption:

{
  "id": "5",
  "subject": "Add user authentication",
  "metadata": {
    "risk_tier": "YELLOW",
    "risk_reason": "Modifies src/components/LoginForm.tsx (user-visible component)",
    "classified_at": "2026-02-07T22:00:00Z"
  }
}

Tasks without risk_tier metadata default to GREEN (backward compatible).

Readiness Levels

The 4-tier Readiness Levels system provides clear risk
classification with required controls per tier:

Level Name When Required Controls
0 Routine Low blast radius, easy rollback Basic validation, rollback step
1 Watch User-visible changes Review, negative test, rollback note
2 Elevated Security/compliance/data Adversarial review, risk checklist
3 Critical Irreversible, regulated Human confirmation, two-step verification

See modules/readiness-levels.md for full level definitions,
selection decision tree, and integration guidance.

Module Reference

  • tier-definitions.md: Detailed tier criteria, boundaries, and override mechanism
  • heuristic-classifier.md: File-pattern rules for automated classification
  • verification-gates.md: Per-tier verification requirements and parallel safety matrix
  • readiness-levels.md: 4-tier risk system with required controls per level

Integration Pattern

# In your skill's frontmatter
dependencies: [leyline:risk-classification]

For Task Generators

Append [R:TIER] marker to task format:

- [ ] T012 [P] [US1] [R:YELLOW] Create LoginForm component in src/components/LoginForm.tsx

For Orchestrators

Check risk tier before task assignment:

if task.risk_tier in ["RED", "CRITICAL"]:
    invoke Skill(attune:war-room-checkpoint) for RS scoring
    if CRITICAL: require human approval before proceeding

Exit Criteria

  • Every task has a risk tier assigned (explicit or default GREEN)
  • RED/CRITICAL tasks have war-room-checkpoint RS scores
  • Verification gates passed for the assigned tier
  • No parallel execution of prohibited tier combinations

Statistics

Downloads 48
Stars 0
Current installs 1
All-time installs 1
Versions 1
Comments 0
Created Apr 13, 2026
Updated Apr 13, 2026

Latest Changes

v1.0.0 · Apr 13, 2026

- Introduces inline risk classification for agent tasks using a 4-tier (GREEN/YELLOW/RED/CRITICAL) model. - Implements hybrid routing: GREEN/YELLOW risks are handled with heuristic file-pattern matching; RED/CRITICAL tasks are escalated to a war-room-checkpoint for reversibility scoring. - Extends task metadata with an explicit risk tier and rationale for downstream consumption and automation. - Clearly defines when to use the skill, the scope of each risk tier, and corresponding required verification controls. - Includes module references and integration patterns for easy adoption in orchestrators and task generators.

Quick Install

clawhub install nm-leyline-risk-classification
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