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Operator Discipline
by
CaleCorbett
· GitHub ↗
· v1.0.0
309
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Install in OpenClaw
/install operator-discipline
Description
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...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install operator-discipline - After installation, invoke the skill by name or use
/operator-discipline - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: production behavioral rules for AI agents
Metadata
Frequently Asked Questions
What is Operator Discipline?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 309 downloads so far.
How do I install Operator Discipline?
Run "/install operator-discipline" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Operator Discipline free?
Yes, Operator Discipline is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Operator Discipline support?
Operator Discipline is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Operator Discipline?
It is built and maintained by CaleCorbett (@calecorbett); the current version is v1.0.0.
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