ir:agent-landscape

ir:agent-landscape is a Market & industry research skill for AI agents, published by ingo-eichhorst in the Irrlicht repository on GitHub. Skillspace rates ir:agent-landscape C (79/100) and it passed the safety scan; the rating is based on static analysis only.

Scan the web for coding agents and agent orchestrators, track GitHub stars and trends, rank by popularity+momentum, and publish a report to the irrlicht site. Shows which agents irrlicht already supports. Use when user says 'agent landscape', 'scan agents', 'coding agent tracker', 'agent popularity', '/ir:agent-landscape', or wants to see the competitive landscape of coding agents.

Grade
C
Quality
79 / 100
Safety
Passed
GitHub stars
88

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
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

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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