structured-reasoning
structured-reasoning is a Structured reasoning & decision frameworks skill for AI agents, published by UnpaidAttention in the fable5-methodology repository on GitHub. Skillspace rates structured-reasoning D (64/100) and it passed the safety scan; the rating is based on static analysis only.
A step-by-step reasoning protocol for problems that exceed one intuitive step — generate and compare candidates, track assumptions, reason backward or from a minimal case when stuck, sanity-check intermediates, and run a mandatory devil's-advocate pass before finalizing. Trigger this the moment a problem is novel, high-stakes, involves multiple interacting constraints, requires arithmetic/counting/state-tracking, or you're unsure what the next step is. Do NOT trigger for problems too large to hold in working memory (use extended-problem-solving, which externalizes to disk) or for routine one-step answers. This skill is for thinking a hard thing through in-context; its sibling is for thinking a huge thing through on paper.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 83
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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