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Install in OpenClaw
/install nm-leyline-risk-classification
Description
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...
Usage Guidance
This is an instruction-only risk-classification skill and appears coherent with its stated purpose. Before installing, ensure you understand and permit the agent's access to: the repository (to read affected_files and run import/coverage analysis), your test runner (it may run related or full test suites for RED), and any project inbox or conflict-tracking system referenced. Check the night-market.error-patterns config (the skill declares this path) and verify the external skill attune:war-room-checkpoint (used for high-risk escalation) is trusted in your environment. No credentials are requested by this skill, but granting repository/test access is needed for it to work and increases the surface area — if you want a smaller blast radius, restrict the skill to read-only repo access or require human approval before escalation to war-room steps.
Capability Analysis
Type: OpenClaw Skill
Name: nm-leyline-risk-classification
Version: 1.0.0
The skill bundle provides a comprehensive 4-tier risk classification framework (Green, Yellow, Red, Critical) for agent tasks. It uses heuristic file-pattern matching and readiness levels to determine necessary safety controls and verification gates, such as human approval for critical tasks. The logic is transparently documented across several files, including SKILL.md and heuristic-classifier.md, focusing on identifying high-risk operations like database migrations, security changes, and production deployments. No malicious code, data exfiltration, or prompt injection attempts were found.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description (risk classification, hybrid routing) match the SKILL.md contents: pattern-based heuristics for GREEN/YELLOW and escalation to Skill(attune:war-room-checkpoint) for RED/CRITICAL. Declared dependency on night-market.error-patterns is plausible for pattern config.
Instruction Scope
Instructions legitimately reference reading task.affected_files, matching file paths, running git status/conflict checks, and executing tests. They also mention checking a 'team inbox' for conflict alerts and performing dependency/import analysis (count_importers). Those actions require repository and project-system access; this is expected for a risk classifier but broadens the skill's runtime read-surface beyond just pattern matching.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing is downloaded or written to disk by the skill itself.
Credentials
No environment variables or credentials are required, which is proportionate. The only required config path is night-market.error-patterns; the SKILL.md also embeds pattern rules, so the explicit config requirement is plausible but not fully explained and should be checked.
Persistence & Privilege
always:false and no claims of modifying other skills or system-wide settings. The skill invokes other skills (attune:war-room-checkpoint) for escalation, which is expected; autonomous invocation of that skill is possible but normal for the platform.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-leyline-risk-classification - After installation, invoke the skill by name or use
/nm-leyline-risk-classification - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 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.
Metadata
Frequently Asked Questions
What is Nm Leyline Risk Classification?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 84 downloads so far.
How do I install Nm Leyline Risk Classification?
Run "/install nm-leyline-risk-classification" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Leyline Risk Classification free?
Yes, Nm Leyline Risk Classification is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Leyline Risk Classification support?
Nm Leyline Risk Classification is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Leyline Risk Classification?
It is built and maintained by athola (@athola); the current version is v1.0.0.
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