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victorking2005

opus

by VictorKing2005 · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install opus
Description
Auto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku → Sonnet → Opus. Classify before responding. HAIKU (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1-2 sentence tasks. ESCALATE TO SONNET: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations. ESCALATE TO OPUS: architecture decisions, complex debugging, multi-file refactoring, strategic planning, nuanced judgment, deep research, critical production decisions. Rule: If a human needs >30 seconds of focused thinking, escalate. If Sonnet struggles with complexity, go to Opus. Save 50-90% on API costs by starting cheap and escalating only when needed.
Usage Guidance
This skill appears to be a straightforward model-routing policy and contains no code or secret requests, but there are packaging/provenance inconsistencies (different skill name in SKILL.md vs registry slug and differing ownerId between registry and _meta.json). Before installing: 1) verify the publisher/owner and that the slug/name mismatch is intentional (ask the publisher or check an authoritative registry page); 2) confirm your platform supports the sessions_spawn pattern and the model names used (haiku/sonnet/opus) so the instructions actually map to real models; 3) test in a sandbox account or with billing limits — the policy intentionally escalates to costly models and could increase your API spend if thresholds are tuned incorrectly; 4) consider putting cost/budget guards or rate limits on autonomous model spawning; 5) if provenance isn’t verifiable, treat it as untrusted documentation rather than install/enable. If you can confirm publisher identity and intended mapping of model names, the skill is coherent and likely safe to use.
Capability Analysis
Type: OpenClaw Skill Name: opus Version: 1.0.0 The skill bundle provides instructions for an AI agent on how to intelligently select the appropriate Claude model (Haiku, Sonnet, Opus) based on task complexity to optimize API costs. The `SKILL.md` file contains clear guidelines, decision trees, and illustrative code snippets for model selection, all aligned with the stated purpose. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts designed to subvert the agent for harmful actions. The content is purely instructional for internal operational efficiency.
Capability Assessment
Purpose & Capability
The SKILL.md implements a three-tier model-routing policy (Haiku→Sonnet→Opus) that matches the described purpose of cost‑aware routing. However, the package shows inconsistent naming/metadata (registry slug 'opus' vs SKILL.md name 'smart-model-switching' and differing ownerId values in registry vs _meta.json), which reduces provenance confidence.
Instruction Scope
The runtime instructions are self-contained policy text and example calls (sessions_spawn, cron payload). They do not request or instruct reading unrelated files, environment variables, or secret exfiltration. The guidance is prescriptive about when to escalate and what tasks belong to each tier.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to write to disk, which is low risk from an installation perspective.
Credentials
The skill declares no required environment variables, credentials, or config paths — consistent with an instruction-only routing policy. No disproportionate secret access is requested.
Persistence & Privilege
always:false and default autonomous invocation are normal. Be aware this skill's behavior will cause the agent to spawn additional model calls (potentially to billing‑expensive models) — a cost/privilege consideration rather than a direct security escalation. The skill does not request system-wide changes or other skills' credentials.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install opus
  3. After installation, invoke the skill by name or use /opus
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Opus
Metadata
Slug opus
Version 1.0.0
License
All-time Installs 5
Active Installs 4
Total Versions 1
Frequently Asked Questions

What is opus?

Auto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku → Sonnet → Opus. Classify before responding. HAIKU (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1-2 sentence tasks. ESCALATE TO SONNET: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations. ESCALATE TO OPUS: architecture decisions, complex debugging, multi-file refactoring, strategic planning, nuanced judgment, deep research, critical production decisions. Rule: If a human needs >30 seconds of focused thinking, escalate. If Sonnet struggles with complexity, go to Opus. Save 50-90% on API costs by starting cheap and escalating only when needed. It is an AI Agent Skill for Claude Code / OpenClaw, with 1142 downloads so far.

How do I install opus?

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

Is opus free?

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

Which platforms does opus support?

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

Who created opus?

It is built and maintained by VictorKing2005 (@victorking2005); the current version is v1.0.0.

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