Loop Stability Check

v1.0.0

Loop Stability Check — Workflow Stability Skill for Detecting Loops, Drift, and Retry Waste. Use it when the user needs a disciplined protocol and fixed outp...

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byCubic AI@clarkchenkai
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
Purpose & Capability
The name/description and included reference docs all describe workflow loop diagnosis and stabilization; there are no unrelated dependencies, credentials, or config paths requested.
Instruction Scope
SKILL.md contains a bounded, prescriptive protocol (observe behavior, classify failure mode, recommend guardrails). It does not instruct the agent to read system files, access environment variables, call external endpoints, or collect unrelated data.
Install Mechanism
No install spec or code is present; this is instruction-only so nothing is downloaded or written to disk.
Credentials
The skill declares no required environment variables, credentials, or config paths — proportional to an analysis/diagnostic skill that operates on provided workflow context.
Persistence & Privilege
The skill is not always-enabled (always:false) and has no install, but agents/openai.yaml sets allow_implicit_invocation: true (and model invocation is enabled by default). This means the agent may call the skill implicitly when it judges it relevant — normal for skills but worth being aware of.
Assessment
This is an instruction-only diagnostic skill and appears coherent with its stated purpose. Before installing, confirm you trust the skill author (source/homepage unknown) and review where the agent will be allowed to invoke it implicitly. Because it can be invoked without an explicit trigger (allow_implicit_invocation), avoid granting it access to production-sensitive workflows until you've vetted its recommendations in a safe/test environment. Also ensure prompts passed to the model when using this skill do not include secrets or sensitive credentials.

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.

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