Tracking Objects
Long-running skill that drives the SAM3 tracker from the
Install
$ agentstack add skill-graph-robots-open-robot-skills-tracking-objects ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-graph-robots-open-robot-skills-tracking-objects) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
tracking-objects
Long-running tracker skill. Init on first frame, update per tick, close on exit. Used as a parallel sibling to other long-running skills (e.g. a policy) when continuous state estimation is needed.
The skill is class-based and stateful: the tracker session id and the last good mask/box live on the skill instance, so repeated visits to the same state within one workflow execution can resume the session instead of re-seeding it (pass close_on_exit: false to keep the session open across visits; the final visit — or the instance teardown — closes it).
It is also a streaming skill (gap.streaming: true): each update tick publishes a tracker snapshot {mask, box, confidence, object_present, n_updates} via ctx.publish, so downstream {"$ref": ""} consumers see the latest tracked state while the loop is still running.
Install
Depends on the sam3 tool bundle:
uv sync --extra sam3 # (pip: pip install -e "open-robot-skills[sam3]")When to use
- A workflow that needs the live mask + box of an object across many
frames (e.g., a supervisor that monitors a target's location while a policy manipulates it).
- Wrapped under a
parallelstate with ajoin_policyso the tracker is
cooperatively cancelled when the sibling branch finishes (the loop checks ctx.cancel_token every tick).
Output
Returns the final mask, box, confidence, and a flag indicating whether the object was visibly present at exit. Intermediate updates are published as streaming snapshots; the return value exposes only the final state.
Tool form
The bundle also exposes the loop as a flat tool — tracking-objects.track — for callers that want to invoke it as a single unit (one fresh tracker session per call) rather than as a workflow state.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: graph-robots
- Source: graph-robots/open-robot-skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.