Operator Discipline
v1.0.0Applies production-grade behavioral discipline to any AI agent session. Use when configuring a new agent, auditing an existing agent for bad habits, or boots...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & 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.
Assessment
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.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
