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ivangdavila

Triage

by Iván · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
671
Downloads
2
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0
Active Installs
1
Versions
Install in OpenClaw
/install triage
Description
Auto-learns to prioritize tasks by urgency, impact, and user patterns. Grows smarter with each decision.
Usage Guidance
This skill appears to do what it says: watch tasks, assign priorities, and learn from your corrections. Before installing, ask the developer or platform: (1) Where are learned patterns, overrides, and queue history stored (local skill memory, agent storage, or external service)? (2) Who can read or export that stored data? (3) How can you review, edit, or delete learned rules and history? (4) Can you restrict the skill to an observe-only or ask-before-applying mode while testing? If you handle sensitive messages, consider testing with non-sensitive items first and require explicit confirmation before any automatic pattern 'confirmation' is applied.
Capability Analysis
Type: OpenClaw Skill Name: triage Version: 1.0.0 The OpenClaw AgentSkills skill bundle 'triage' is benign. All files (`_meta.json`, `SKILL.md`, `patterns.md`, `signals.md`) contain instructions and documentation solely focused on teaching an AI agent to prioritize tasks based on urgency, impact, and user patterns. There is no evidence of malicious intent, such as data exfiltration, unauthorized command execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent's core function or access sensitive data. The instructions are clear and directly support the stated purpose of task triage.
Capability Assessment
Purpose & Capability
Name/description match the content: the SKILL.md plus patterns.md and signals.md define prioritization rules and learning behavior. There are no unrelated required binaries, env vars, or install steps.
Instruction Scope
Instructions direct the agent to observe incoming tasks, classify them, record overrides, generate pattern entries, and produce queue history/weekly summaries. This is coherent with triage, but it means the skill will collect message content and user corrections (potentially sensitive). The SKILL.md does not reference external endpoints or system paths, nor does it explicitly say how persistence is performed.
Install Mechanism
Instruction-only skill with no install spec or external downloads — low installation risk and nothing written to disk by an installer. All behavior comes from the runtime instructions.
Credentials
No environment variables, credentials, or config paths are required. The skill does not request unrelated secrets or system access.
Persistence & Privilege
Skill claims to 'auto-learn' and track overrides/patterns/queue history which implies persistent storage of user data. always is false (normal), but the SKILL.md does not specify where patterns/history are saved, who can read them, or retention policies — a privacy/visibility concern rather than an outright functional mismatch.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install triage
  3. After installation, invoke the skill by name or use /triage
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug triage
Version 1.0.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Triage?

Auto-learns to prioritize tasks by urgency, impact, and user patterns. Grows smarter with each decision. It is an AI Agent Skill for Claude Code / OpenClaw, with 671 downloads so far.

How do I install Triage?

Run "/install triage" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Triage free?

Yes, Triage is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Triage support?

Triage is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Triage?

It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.

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