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Uncertainty Verification
by
Jack123255829
· GitHub ↗
· v1.0.0
· MIT-0
397
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0
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3
Active Installs
1
Versions
Install in OpenClaw
/install uncertainty-verification
Description
事实核查与幻觉检测。在生成内容后检测并纠正可能的幻觉、编造或不准确信息。 触发条件：(1) 生成技术内容后 (2) 提供统计数据时 (3) 引用人物/事件时 (4) 生成代码示例后
Usage Guidance
This skill is coherent and low‑risk as an instruction bundle: it teaches the agent how to verify outputs, labels confidence, and when to check sources. Before enabling it, consider: (1) if you allow the agent to actually execute generated code or access the network/filesystem, ensure those actions run in an isolated/sandboxed environment (verifying code can execute arbitrary commands); (2) the skill assumes the agent has permissions to perform external checks — grant network or file access only when you trust the execution environment; (3) treat the embedded statistic ("22% failure rate") as illustrative guidance, not an authoritative metric. If you want stricter control, require explicit user approval before the agent runs code or performs external validations.
Capability Analysis
Type: OpenClaw Skill
Name: uncertainty-verification
Version: 1.0.0
The 'uncertainty-verification' skill bundle (SKILL.md) is designed to improve AI reliability by providing instructions for fact-checking and hallucination detection. It outlines protocols for verifying technical content, statistics, and code execution without any indicators of malicious intent, data exfiltration, or unauthorized system access.
Capability Assessment
Purpose & Capability
Name and description (fact‑check / hallucination detection) match the SKILL.md: it provides a verification checklist, triggers, and a validation workflow. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Instructions stay within fact‑checking: check claims, verify numbers, validate citations, run code examples, and confirm external operations. Note: some steps (e.g., "run generated code" or "confirm API/file was created") implicitly require runtime execution or network/file access; the skill does not request those capabilities explicitly, so the agent will need separate permissions to actually perform those checks.
Install Mechanism
No install spec and no code files — instruction‑only skill. This minimizes disk/write risk and there is nothing downloaded or installed.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate to its stated purpose (a procedural guideline for verification).
Persistence & Privilege
always:false and default autonomous invocation are set. The skill does not ask for persistent system presence or to modify other skills or global agent configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install uncertainty-verification - After installation, invoke the skill by name or use
/uncertainty-verification - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the "fact-check" skill for verifying and correcting hallucinations, fabrications, or inaccurate information in generated content.
- Introduces automatic fact-check triggers for: technical content, statistics, named references, code samples, and external actions.
- Outlines a clear verification protocol prioritizing result validation over action completion.
- Provides a checklist for cross-checking facts, statistics, code runnability, references, and logical consistency.
- Implements a confidence labeling system: VERIFIED, LIKELY, UNCERTAIN.
- Offers practical tips to minimize overlooked errors, emphasizing independent verification and user notification when unsure.
Metadata
Frequently Asked Questions
What is Uncertainty Verification?
事实核查与幻觉检测。在生成内容后检测并纠正可能的幻觉、编造或不准确信息。 触发条件：(1) 生成技术内容后 (2) 提供统计数据时 (3) 引用人物/事件时 (4) 生成代码示例后. It is an AI Agent Skill for Claude Code / OpenClaw, with 397 downloads so far.
How do I install Uncertainty Verification?
Run "/install uncertainty-verification" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Uncertainty Verification free?
Yes, Uncertainty Verification is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Uncertainty Verification support?
Uncertainty Verification is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Uncertainty Verification?
It is built and maintained by Jack123255829 (@jack123255829); the current version is v1.0.0.
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