seija-assumption-inversion
seija-assumption-inversion is a Structured reasoning & decision frameworks skill for AI agents, published by N0zoM1z0 in the gensokyo-skills repository on GitHub. Skillspace rates seija-assumption-inversion C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Expose hidden assumptions in a consensus, strategy, requirement, or design by stating the default precisely, inverting one assumption at a time, constructing the strongest falsifiable counterexample, and reconciling the result with evidence. Use for adversarial reframing, pre-mortems, stuck debates, suspicious unanimity, or requirements treated as inevitable. Do not use to deny established facts, manufacture controversy, or replace rule-based review.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.