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Oraclaw Bayesian
by
Whatsonyourmind
· GitHub ↗
· v1.0.0
· MIT-0
102
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Install in OpenClaw
/install oraclaw-bayesian
Description
Bayesian inference engine for AI agents. Update beliefs with new evidence. Prior + evidence = posterior. Multi-factor prediction with calibration tracking.
Usage Guidance
This skill claims to perform Bayesian updates but asks for an API key and lists paid usage while providing no network or API call details. Before installing: (1) Ask the publisher how ORACLAW_API_KEY is used — what endpoint, what data is sent, and what permissions the key grants. (2) Verify billing details and the 'Base x402' payment flow separately. (3) Prefer a limited-scope/test API key (or a revocable key) when trying it. (4) If you cannot obtain clear docs showing that network calls are limited to the stated inference service, treat the key as sensitive and avoid installing. (5) Consider asking for an implementation that either performs inference locally (no API key) or explicitly documents the remote API calls it will make.
Capability Analysis
Type: OpenClaw Skill
Name: oraclaw-bayesian
Version: 1.0.0
The oraclaw-bayesian skill is a legitimate tool for performing Bayesian inference and belief updating. The SKILL.md file provides clear instructions for an AI agent to calculate posterior probabilities based on priors and weighted evidence, and it requires a standard API key (ORACLAW_API_KEY) for its external service (oraclaw.dev). No malicious code, data exfiltration, or prompt-injection attacks were identified.
Capability Assessment
Purpose & Capability
Name/description match a Bayesian inference tool, but the manifest declares a required ORACLAW_API_KEY (primary credential) and pricing/billing info even though the SKILL.md contains no network endpoints, API call examples, or instructions that actually use the key. It's unclear whether this skill is local-only or proxies requests to a remote service — the credential requirement is not justified by the included instructions.
Instruction Scope
SKILL.md defines a predict_bayesian JSON interface and describes how to update priors and weights; it does not instruct the agent to read any local files or other environment variables, nor does it instruct data exfiltration. However, it omits any concrete API endpoint, headers, or network call pattern despite declaring an API key and pricing, leaving runtime behavior ambiguous.
Install Mechanism
No install spec and no code files are present (instruction-only), which minimizes disk-write and code-execution risk. This is the lowest-risk install scenario.
Credentials
The skill asks for exactly one credential (ORACLAW_API_KEY), which is proportionate if a hosted API is used. Because the SKILL.md doesn't show how the key is used, it's not possible to confirm the key's scope (billing-only vs. access to user data). The single key is plausible but unexplained.
Persistence & Privilege
The skill is not always-enabled, is user-invocable, and requests no config paths or system privileges. There is no indication it will modify other skills or agent-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install oraclaw-bayesian - After installation, invoke the skill by name or use
/oraclaw-bayesian - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the Bayesian inference engine for AI agents.
- Allows belief updating using weighted evidence factors and prior probabilities.
- Supports multi-factor predictions with calibration tracking.
- Provides a `predict_bayesian` tool for combining evidence into posterior estimates.
- Includes guidance for best practices and tracking accuracy over time.
- Freemium pricing: $0.02 per inference; 3,000 free calls/month with API key.
Metadata
Frequently Asked Questions
What is Oraclaw Bayesian?
Bayesian inference engine for AI agents. Update beliefs with new evidence. Prior + evidence = posterior. Multi-factor prediction with calibration tracking. It is an AI Agent Skill for Claude Code / OpenClaw, with 102 downloads so far.
How do I install Oraclaw Bayesian?
Run "/install oraclaw-bayesian" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Oraclaw Bayesian free?
Yes, Oraclaw Bayesian is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Oraclaw Bayesian support?
Oraclaw Bayesian is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Oraclaw Bayesian?
It is built and maintained by Whatsonyourmind (@whatsonyourmind); the current version is v1.0.0.
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