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Oraclaw Ensemble
by
Whatsonyourmind
· GitHub ↗
· v1.0.0
· MIT-0
104
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Install in OpenClaw
/install oraclaw-ensemble
Description
Multi-model consensus for AI agents. Combine predictions from multiple LLMs, models, or sources into a mathematically optimal consensus. Auto-weights by hist...
Usage Guidance
This skill appears coherent for a hosted ensemble service but the SKILL.md omits implementation details about network calls and data handling. Before installing or enabling it for sensitive tasks: 1) Confirm where requests are sent (official oraclaw.dev API endpoints) and what data is transmitted/stored. 2) Use a least-privilege ORACLAW_API_KEY (scoped/revocable) and monitor its usage. 3) Verify billing details (USDC on Base address) if you expect production traffic. 4) Avoid sending highly sensitive PII/credentials to third-party ensemble services until you’ve confirmed their retention and privacy policies. If you want stronger assurance, ask the publisher for an example request/response format and a data handling/privacy statement.
Capability Analysis
Type: OpenClaw Skill
Name: oraclaw-ensemble
Version: 1.0.0
The skill bundle defines a tool for multi-model consensus and prediction aggregation via the oraclaw.dev service. The instructions in SKILL.md are purely functional, describing how to weight model outputs and handle disagreement (entropy), with no evidence of malicious intent, data exfiltration, or prompt injection attacks.
Capability Assessment
Purpose & Capability
The skill claims to call an external ensemble service and only requests a single API key (ORACLAW_API_KEY), which is appropriate for a hosted ensemble/aggregation service. There are no unrelated environment variables, binaries, or config paths requested.
Instruction Scope
SKILL.md stays on-topic (describes ensemble inputs, outputs, rules, and pricing). It does not instruct the agent to read arbitrary files, environment variables, or system paths. One missing detail: the doc does not show the network endpoints, request/response schema, or explicit guidance on how/when to transmit user data to the external service — so the agent will need to use ORACLAW_API_KEY to call some external API, but that call is not specified here.
Install Mechanism
Instruction-only skill (no install spec, no code files). This is the lowest-risk install posture — nothing is written to disk by the skill itself.
Credentials
Only a single credential (ORACLAW_API_KEY) is required and declared as the primary credential, which is proportionate for a hosted API. No unrelated secrets or broad system credentials are requested.
Persistence & Privilege
always is false and the skill does not request system-wide persistence or modify other skills. It does permit normal autonomous invocation (platform default).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install oraclaw-ensemble - After installation, invoke the skill by name or use
/oraclaw-ensemble - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
OraClaw Ensemble v1.0.0 — Initial Release
- Launches a consensus tool to optimally combine predictions from multiple LLMs, models, or sources.
- Auto-weights model contributions based on their historical accuracy.
- Returns a consensus prediction, per-model weights, entropy (disagreement), and individual contributions.
- Flags high disagreement among models to inform decision-making.
- Supports both probability and classification tasks.
- Requires ORACLAW_API_KEY; 3,000 free predictions per month.
Metadata
Frequently Asked Questions
What is Oraclaw Ensemble?
Multi-model consensus for AI agents. Combine predictions from multiple LLMs, models, or sources into a mathematically optimal consensus. Auto-weights by hist... It is an AI Agent Skill for Claude Code / OpenClaw, with 104 downloads so far.
How do I install Oraclaw Ensemble?
Run "/install oraclaw-ensemble" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Oraclaw Ensemble free?
Yes, Oraclaw Ensemble is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Oraclaw Ensemble support?
Oraclaw Ensemble is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Oraclaw Ensemble?
It is built and maintained by Whatsonyourmind (@whatsonyourmind); the current version is v1.0.0.
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