s4h-network-contagion
s4h-network-contagion is a Social media content skill for AI agents, published by human-avatar in the skills-for-humanity repository on GitHub. Skillspace rates s4h-network-contagion D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Models how things spread through networks — ideas, behaviors, viruses, product adoption, financial contagion, cascading failures. Use when asked 'why did this go viral', 'why isn't this spreading', 'how do we accelerate adoption', 'what's the tipping point', 'could this cascade', or when modeling any spread or diffusion process through a connected system.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 201
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
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