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OpenclawContinuousWork 1.0.0
作者
KarasawaYikiho
· GitHub ↗
· v1.0.0
· MIT-0
208
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0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install openclawcontinuouswork
功能描述
全面优化 OpenClaw 对话体验并强化任务闭环执行。Use when user asks to 优化, 工作, 项目, 持续工作, 不要停, 继续做, 继续工作, 或希望助手接收指令后持续推进直到完成。Also use when the user asks for complete optimization...
安全使用建议
This skill appears to implement a continuous 'optimization' workflow by scanning and modifying markdown and text files and by instructing the assistant to run persistently. Before installing or enabling it, consider: 1) Run the scripts on a read-only copy or isolated test workspace first to verify what they change (NormalizeEncoding, BuildReferenceMap, RunOptimizationPipeline will write files). 2) Confirm how the agent will be invoked autonomously — request or enforce that the agent must ask for explicit user confirmation before any write/delete operation or before entering a continuous execution mode. 3) If you don't want long-running autonomous behavior, disable autonomous invocation for this skill or remove/soften the 10-minute automatic-report and 'do not stop' directives in SKILL.md. 4) Request that the maintainer add explicit safeguards: a required, validated target whitelist, dry-run mode by default, and interactive prompts for destructive changes. 5) If you lack confidence in the maintainer, avoid granting this skill write access to important directories or run it only in a sandbox.
功能分析
Type: OpenClaw Skill
Name: openclawcontinuouswork
Version: 1.0.0
The skill bundle is a productivity framework designed to enable continuous task execution and automated project optimization within OpenClaw. It contains several Python utility scripts (e.g., NamingAudit.py, ContentLinkAudit.py, BuildReferenceMap.py) that perform static analysis on Markdown files to ensure naming conventions, link integrity, and documentation indexing. While the instructions in SKILL.md and References/ContinuousExecutionDirective.md strongly direct the agent to persist in tasks without stopping, they include safety-oriented guardrails such as mandatory 10-minute progress reports and requiring explicit user confirmation for task termination. No evidence of data exfiltration, malicious command execution, or unauthorized persistence was found.
能力评估
Purpose & Capability
Name/description (continuous optimization) aligns with the included scripts and markdown modules: the bundle contains tools to audit, re-index, graph, detect conflicts, normalize encoding, and run a one-command pipeline. However, the SKILL.md emphasizes changing dialog behavior and continuous autonomous execution at the assistant level while the code operates on repository files; this dual focus (agent behavioral directives + file-modifying maintenance scripts) is plausible but worth noting.
Instruction Scope
SKILL.md and References/ContinuousExecutionDirective.md push the agent to 'continuously execute until user confirms termination' and require 10-minute progress reports. The OptimizationDirective explicitly allows modifications/deletions/additions. The provided scripts will rewrite files (e.g., NormalizeEncoding.py, BuildReferenceMap.py, BuildModuleGraph.py) and operate recursively on a user-specified target path. There are no in-band safeguards (no confirmations, no target-restriction) described in SKILL.md, so the agent could be instructed to make broad destructive changes or run indefinitely without further human confirmation.
Install Mechanism
No external install spec or remote downloads; all code is bundled as local Python scripts. This is low install-risk because no external archive/binary is fetched. Scripts are readable and straightforward (no obfuscated code or network calls).
Credentials
The skill declares no environment variables or external credentials, which is consistent. However, it implicitly requires read/write access to the agent workspace and arbitrary target paths (the pipeline accepts a target path and will traverse and rewrite files). Given that OptimizationDirective permits modifying/deleting/adding files, that level of filesystem access is significant and not constrained by the SKILL.md (no explicit requirement that target be limited to the skill's own repo).
Persistence & Privilege
always is false (good), but SKILL.md contains strong directives that the agent should not stop until user confirmation and should report every 10 minutes. Because the platform allows autonomous invocation by default, these behavioral constraints could cause prolonged autonomous activity. That combination (autonomy + explicit 'do not stop' directive + file-modifying scripts) increases the blast radius compared to a self-contained helper.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install openclawcontinuouswork - 安装完成后,直接呼叫该 Skill 的名称或使用
/openclawcontinuouswork触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
A modular repository for building, validating, and maintaining OpenClaw-compatible Agent Skills.
元数据
常见问题
OpenclawContinuousWork 1.0.0 是什么?
全面优化 OpenClaw 对话体验并强化任务闭环执行。Use when user asks to 优化, 工作, 项目, 持续工作, 不要停, 继续做, 继续工作, 或希望助手接收指令后持续推进直到完成。Also use when the user asks for complete optimization... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 208 次。
如何安装 OpenclawContinuousWork 1.0.0?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclawcontinuouswork」即可一键安装,无需额外配置。
OpenclawContinuousWork 1.0.0 是免费的吗?
是的,OpenclawContinuousWork 1.0.0 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
OpenclawContinuousWork 1.0.0 支持哪些平台?
OpenclawContinuousWork 1.0.0 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 OpenclawContinuousWork 1.0.0?
由 KarasawaYikiho(@karasawayikiho)开发并维护,当前版本 v1.0.0。
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