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Operator Discipline
作者
CaleCorbett
· GitHub ↗
· v1.0.0
309
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install operator-discipline
功能描述
Applies production-grade behavioral discipline to any AI agent session. Use when configuring a new agent, auditing an existing agent for bad habits, or boots...
安全使用建议
This skill is a safe, coherent set of best-practice instructions for agent behavior and does not request secrets or install code. Before enabling: decide where the agent is allowed to write checkpoints or notes (restrict to safe directories), confirm your agent platform will not auto-apply the skill unless you want that behavior, and ensure any file I/O the agent is permitted to perform is logged and/or sandboxed to prevent accidental exposure of sensitive data.
功能分析
Type: OpenClaw Skill
Name: operator-discipline
Version: 1.0.0
The skill bundle 'operator-discipline' consists of behavioral guidelines (SKILL.md) designed to improve AI agent efficiency, safety, and resource management. It includes instructions for tool discipline, safety defaults for external actions, and data privacy protections, with no evidence of malicious intent, data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
The name/description (operator discipline for agent behavior) matches the SKILL.md content. There are no unexpected binaries, environment variables, or config paths required — everything requested is proportional to a prompt/instruction-only policy document.
Instruction Scope
The instructions stay within the scope of shaping agent behavior (response length, tool-checking, stuck detection, file/memory hygiene). A minor note: the doc encourages writing checkpoints and files but does not prescribe locations or safeguards — this gives implementers discretion over file I/O which could lead to unintended writes unless the host enforces file/path restrictions. Also the header claims it "activates automatically" for certain tasks, but the registry flags show always:false (so the skill cannot force automatic inclusion at the platform level).
Install Mechanism
No install spec and no code files — lowest-risk model. Nothing will be downloaded or written by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths. The guidance references reading/searching files and saving notes, but it does not attempt to access or require secrets or unrelated service credentials.
Persistence & Privilege
always is false and disable-model-invocation is default (agent may invoke if permitted by platform), which is normal. The skill does not request persistent privileges or modify other skills' configs. The only caution: the markdown's claim of automatic activation is a policy-level statement and does not translate to platform-enforced persistence.
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 operator-discipline - 安装完成后，直接呼叫该 Skill 的名称或使用
/operator-discipline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
Initial release: production behavioral rules for AI agents
元数据
常见问题
Operator Discipline 是什么？
Applies production-grade behavioral discipline to any AI agent session. Use when configuring a new agent, auditing an existing agent for bad habits, or boots... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 309 次。
如何安装 Operator Discipline？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install operator-discipline」即可一键安装，无需额外配置。
Operator Discipline 是免费的吗？
是的，Operator Discipline 完全免费（开源免费），可自由下载、安装和使用。
Operator Discipline 支持哪些平台？
Operator Discipline 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 Operator Discipline？
由 CaleCorbett（@calecorbett）开发并维护，当前版本 v1.0.0。
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