influence
influence is a Structured reasoning & decision frameworks skill for AI agents, published by getagentseal in the founder-playbook repository on GitHub. Skillspace rates influence D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Cialdini's seven principles of compliance (reciprocation, commitment-consistency, social proof, liking, authority, scarcity) plus Unity (added 2016) and Pre-Suasion. Use when crafting ethical persuasion (marketing, sales, negotiation), defending against manipulation, or designing systems that need cooperation. Includes replication-crisis caveats and known factual corrections (Bickman parking-meter numbers, Hofling modern replication, Drive Carefully condition disambiguation, Genovese myth).
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 355
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 91 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Cialdini persuasion framework for general marketing/negotiation use.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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