Autoreason Lite

v1.0.0

Apply a bounded multi-candidate self-refinement loop (A/B/AB + judges + do-nothing option) to improve drafts, plans, and analyses while preventing scope cree...

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byChristopher Wheeler@cwheeler67
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
Purpose & Capability
Name/description match the instructions: the skill describes a bounded multi-candidate refinement process for improving drafts and its steps and presets align with that goal.
Instruction Scope
SKILL.md only describes internal candidate-generation and judging steps, references a local rubric file, and does not instruct reading unrelated files, accessing environment variables, or sending data to external endpoints.
Install Mechanism
No install spec and no code files — nothing is written to disk or downloaded by the skill itself, which minimizes installation risk.
Credentials
The skill declares no required environment variables, credentials, or config paths; requested capabilities are proportional to an editing/refinement function.
Persistence & Privilege
always is false and there is no installation behavior that persists or modifies system/other-skill config. The skill can be invoked autonomously per platform defaults, which is expected for this type of skill.
Assessment
This skill appears coherent and low-risk: it only defines an internal editing workflow and does not request credentials or install code. Before installing, consider that (1) the judges are LLM personas (not external human auditors), so verify final outputs for factual accuracy and sensitive content, (2) if you will submit proprietary or confidential text, check your platform's data-logging/privacy policy since the skill will operate on user-provided content, and (3) if you need stricter guarantees (no autonomous invocation), confirm platform-level invocation controls.

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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