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Install in OpenClaw
/install self-correction
Description
模型自我检查与纠错技能。当用户表达反对意见或指出错误时触发，如"不对"、"你回答错了"、"不是这样"、"重新理解"、"等等"、"我说的不是这个意思"等表达。用于重新分析和优化用户原始意图，而非修改上一轮回答。
Usage Guidance
This skill appears coherent and limited to conversational behavior: it will detect user disagreement phrases, re-interpret the user's original prompt, and produce a revised answer. Before installing, confirm you are comfortable with an autonomous skill having permission to be invoked by the agent (the default) and review the SKILL.md examples to ensure the confirmation/clarification style matches your expectations. The included scripts are simple local packaging/validation helpers — no network downloads or secret usage were found.
Capability Analysis
Type: OpenClaw Skill
Name: self-correction
Version: 1.0.0
The skill bundle implements a 'self-correction' mechanism designed to help an AI agent re-evaluate user intent when a mistake is pointed out. The SKILL.md file contains detailed instructions for handling user feedback and includes cryptographic signatures (ReservedCode) likely used for content provenance by the producer (Minimax). The accompanying Python scripts in the scripts/ directory are standard utility tools for validating and packaging the skill, and they do not exhibit any malicious behavior such as data exfiltration or unauthorized execution.
Capability Tags
Capability Assessment
Purpose & Capability
The name and description describe a self-correction / intent-recovery helper, and the SKILL.md, _meta.json, and examples all implement that behavior. Required capabilities (none) are proportional to the stated purpose.
Instruction Scope
Runtime instructions are limited to dialog-level actions (detect trigger phrases, re-examine the user's previous input, propose revised interpretations and answers). The SKILL.md does not instruct the agent to read system files, access unrelated environment variables, call external endpoints, or exfiltrate data.
Install Mechanism
There is no install spec; the skill is instruction-only. The two included scripts are local packaging/validation utilities and do not download or execute remote code.
Credentials
The skill requests no environment variables, credentials, or config paths. The behavior described does not require additional secrets or cloud access.
Persistence & Privilege
Flags show always:false and default autonomous invocation allowed (normal). The skill does not request permanent system presence or modify other skills/configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install self-correction - After installation, invoke the skill by name or use
/self-correction - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
self-correction 1.0.0
- Initial release providing model self-check and self-correction capability.
- Detects user denials, objections, or correction cues in Chinese and triggers a re-analysis of the original user intent.
- Explicitly avoids editing or apologizing for previous answers; instead, focuses on understanding and re-optimizing the user’s original prompt.
- Offers structured output: self-check alert, re-understood requirements, problem point analysis, and a new answer.
- Includes extensive detection templates, typical scenarios, and a checklist to ensure outputs are focused, concise, and non-repetitive.
Metadata
Frequently Asked Questions
What is self-correction?
模型自我检查与纠错技能。当用户表达反对意见或指出错误时触发，如"不对"、"你回答错了"、"不是这样"、"重新理解"、"等等"、"我说的不是这个意思"等表达。用于重新分析和优化用户原始意图，而非修改上一轮回答。 It is an AI Agent Skill for Claude Code / OpenClaw, with 124 downloads so far.
How do I install self-correction?
Run "/install self-correction" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is self-correction free?
Yes, self-correction is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does self-correction support?
self-correction is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created self-correction?
It is built and maintained by 华胥 (@hauxu); the current version is v1.0.0.
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