ego-reconstruction-setup

ego-reconstruction-setup is a Containers & Kubernetes skill for AI agents, published by nvidia-isaac in the video_to_data repository on GitHub. Skillspace rates ego-reconstruction-setup D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Prepare this repository’s egocentric reconstruction pipeline. Use when a user asks to install host packages, build Docker images, download model weights, verify Docker/GPU prerequisites, or diagnose missing setup for `reconstruction/modules/v2d_pipelines/run_ego_reconstruction.py`.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
585

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 GitHubnvidia-isaac/video_to_data

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

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

Better-rated skills in Containers & Kubernetes

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.