tracking-objects
tracking-objects is a Computer vision skill for AI agents, published by graph-robots in the open-robot-skills repository on GitHub. Skillspace rates tracking-objects C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Long-running skill that drives the SAM3 tracker from the graph-scoped observation stream. Seeds the tracker via text prompt on the first frame, then polls the stream at update_hz and advances via sam3.tracker_update until the workflow signals termination, publishing a tracker snapshot per tick. Use when a workflow needs the live mask + box of an object across many frames — e.g. a supervisor branch that monitors a target's location while a policy manipulates it.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 22
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- 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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