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小五子 - 基因修复

v1.0.0

实时检测并修复AI演化中的逻辑错误、语法冲突及指令异常,确保系统稳定和任务连续运行。

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Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for tonicpopo/xiaowuzi-gene-repair.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "小五子 - 基因修复" (tonicpopo/xiaowuzi-gene-repair) from ClawHub.
Skill page: https://clawhub.ai/tonicpopo/xiaowuzi-gene-repair
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After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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openclaw skills install xiaowuzi-gene-repair

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npx clawhub@latest install xiaowuzi-gene-repair
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Purpose & Capability
The name/description promise real-time anomaly detection, automated rollbacks, and model-based repairs. However the package is instruction-only and declares no binaries, no model endpoints, no credentials, and no config paths. A module that performs deep-learning scans and automated rollbacks would normally require code, runtime dependencies, or credentials — their absence is an incoherence.
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Instruction Scope
SKILL.md is high-level and conceptual (describes features like '利用深度学习模型' and '秒级回滚') but contains no concrete runtime steps, commands, endpoints, or file paths. The instructions are vague and grant broad discretion (the agent would have to 'figure out' how to run models, where to read logs, and how to perform rollbacks), which is risky and out-of-scope for a well-scoped skill.
Install Mechanism
No install spec and no code files reduce immediate supply-chain risk. However, for the claimed functionality (deep models, rollback mechanisms) the lack of any install or binary is unexpected and suggests the skill is incomplete or a placeholder rather than a working integration.
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Credentials
The skill requests no environment variables or credentials despite describing integration with model inference and agent runtime state. Realistic implementations would typically require model endpoints, cloud credentials, or access to agent logs/config — their absence is disproportionate to the claimed capability and reduces transparency about what the skill would actually access.
Persistence & Privilege
The skill does not request permanent presence (always:false) and uses normal agent invocation settings. There is no evidence it would modify other skills or system-wide settings. This dimension does not raise an immediate privilege concern.
What to consider before installing
This package looks like a high-level design note rather than an implementable skill. Before installing, ask the author for: (1) the concrete runtime implementation (code or service endpoints) and where model inference runs; (2) exact permissions and env vars required (access to logs, agent state, cloud credentials); (3) what 'automatic rollback' does to agent state and whether it can be audited or undone; (4) a security review or sandboxed test plan. Treat this as incomplete: do not enable autonomous execution or grant system/credential access until you see an implementation and can review it.

Like a lobster shell, security has layers — review code before you run it.

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84downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

# 小五子 - 基因修复 (xiaowuzi-gene-repair)

## 模块概述

本模块是小五子基因演化系统(GEP)中的“免疫与修复中心”。它专门设计用于在复杂的 AI 代理演化过程中,实时识别并修复逻辑坍塌、语法错误或指令冲突。

## 核心修复矩阵

- **异常逻辑拦截 (Anomaly Detection)**:利用深度学习模型扫描基因片段,识别可能导致 AI 陷入死循环的逻辑悖论。

- **自动化基因回滚**:当新演化的基因片段在运行测试中表现不佳或报错时,系统将触发秒级回滚机制,确保主代理(Agent)的稳定性。

- **指令集自愈**:针对 Prompt 注入或格式错误,模块会自动尝试按照预设的演化协议进行微调修复。

## 部署意义

在无人值守的自动化任务(如 StagflationV3Pro 长期监控)中,基因修复模块是系统稳健性的最后一道防线,极大降低了因模型输出不稳定导致的系统崩溃风险。

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