competitive-landscape
competitive-landscape is a Market & industry research skill for AI agents, published by patsnap in the skills repository on GitHub. Skillspace rates competitive-landscape F (49/100) and it passed the safety scan; the rating is based on static analysis only.
Technology-sector competitive landscape analysis with player tiering, route differentiation, and white-space identification. Use when the user asks for player mapping, sector competitor analysis, technology-track player comparison, domestic-vs-overseas player comparison, or any multi-player competitive assessment in a defined technology domain.
- Grade
- F
- Quality
- 49 / 100
- Safety
- Passed
- GitHub stars
- 26
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
- 66 / 100
- Maturity
- Incomplete: missing or partial frontmatter
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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