agent-desktop-ffi

agent-desktop-ffi is a Game development skill for AI agents, published by lahfir in the agent-desktop repository on GitHub. Skillspace rates agent-desktop-ffi D (65/100) and it passed the safety scan; the rating is based on static analysis only.

C-ABI bindings over agent-desktop's PlatformAdapter. Consumers (Python ctypes, Swift, Node ffi-napi, Go cgo, C++, Ruby fiddle) link libagent_desktop_ffi.{dylib,so,dll} and call `ad_*` functions directly instead of spawning the CLI binary per call. The canonical observe-act workflow is: ad_init → ad_adapter_create[_with_session] → ad_snapshot → parse @e refs → ad_execute_by_ref → ad_free_string → ad_adapter_destroy.

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
970

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.

View source on GitHublahfir/agent-desktop

Our review

Architecture
78 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

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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