Skill audit report
Lightweight one-shot 3D object perception. Runs Grounding-DINO broad detection, a SINGLE VLM set-of-marks letter pick over the labeled boxes, SAM3 box segmentation, depth back-projection, and geometry.filter_and_compute_obb. No pairwise tournament, no multi-view safe-gate. Returns a clean not_found output (no exception) when the VLM answers "none" or DINO emits no detections — making this the right skill for clean-all-items loops whose natural termination signal is "no more matching objects in view". Use when a multi-item loop needs a clean no-match exit, or for generic target descriptions on uncluttered scenes with reasonably sized targets.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
41 GitHub stars
Stars/forks activity
WARN43
41 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
8d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add graph-robots/open-robot-skills --skill perceiving-objects-oneshot
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/graph-robots/open-robot-skills/tree/main/skills/perceiving-objects-oneshot
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add graph-robots/open-robot-skills --skill perceiving-objects-oneshot
Repository
88
https://github.com/graph-robots/open-robot-skills/tree/main/skills/perceiving-objects-oneshot
License
86
MIT
Maintenance
100
8d since push
AI review
55
The script `perceive_simple.py` defines unused parameters `use_multiview` and `text_prompts` that are not referenced in the implementation, which may confuse maintainers.
README/SKILL.md completeness
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
Compare nearby options
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
43
41 stars, 7 forks; issue activity unavailable in current metadata
Adoption
42
41 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.