Iron Proxy Gateway for NanoClaw
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
Prepare this repository's HOI object reconstruction environment for BundleSDF or SAM3D.
Install Hoi Object Reconstruction Setup
$ npx skills add nvidia-isaac/video_to_data --skill hoi-object-reconstruction-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nvidia-isaac/video_to_data hoi-object-reconstruction-setup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/hoi-object-reconstruction-setup .claude/skills/hoi-object-reconstruction-setup && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "hoi-object-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.claude/skills/hoi-object-reconstruction-setup into .claude/skills/hoi-object-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hoi-object-reconstruction-setup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nvidia-isaac/video_to_data/tree/main/.claude/skills/hoi-object-reconstruction-setupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nvidia-isaac/video_to_data --skill hoi-object-reconstruction-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nvidia-isaac/video_to_data hoi-object-reconstruction-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/hoi-object-reconstruction-setup .agents/skills/hoi-object-reconstruction-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hoi-object-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.claude/skills/hoi-object-reconstruction-setup into .agents/skills/hoi-object-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hoi-object-reconstruction-setup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nvidia-isaac/video_to_data --skill hoi-object-reconstruction-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nvidia-isaac/video_to_data hoi-object-reconstruction-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/hoi-object-reconstruction-setup .cursor/skills/hoi-object-reconstruction-setup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hoi-object-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.claude/skills/hoi-object-reconstruction-setup into .cursor/skills/hoi-object-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hoi-object-reconstruction-setup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nvidia-isaac/video_to_data.git --path .claude/skills/hoi-object-reconstruction-setup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nvidia-isaac/video_to_data --skill hoi-object-reconstruction-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nvidia-isaac/video_to_data hoi-object-reconstruction-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/hoi-object-reconstruction-setup .gemini/skills/hoi-object-reconstruction-setup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hoi-object-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.claude/skills/hoi-object-reconstruction-setup into .gemini/skills/hoi-object-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hoi-object-reconstruction-setup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nvidia-isaac/video_to_data hoi-object-reconstruction-setupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nvidia-isaac/video_to_data --skill hoi-object-reconstruction-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/hoi-object-reconstruction-setup .github/skills/hoi-object-reconstruction-setup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hoi-object-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.claude/skills/hoi-object-reconstruction-setup into .github/skills/hoi-object-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hoi-object-reconstruction-setup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nvidia-isaac/video_to_data --skill hoi-object-reconstruction-setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nvidia-isaac/video_to_data hoi-object-reconstruction-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/hoi-object-reconstruction-setup .opencode/skills/hoi-object-reconstruction-setup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hoi-object-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.claude/skills/hoi-object-reconstruction-setup into .opencode/skills/hoi-object-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hoi-object-reconstruction-setup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
hoi-object-reconstruction-setup- GitHub stars
- 856
- Token cost
- ~1.4k tokens
- SKILL.md length
- 426 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Prepare this repository's HOI object reconstruction environment for BundleSDF or SAM3D.
- Works in 6 steps: Host wrapper import succeeds. → Input preflight passes. → Selected-mode images exist. → …
- A user asks to install host orchestration packages
- SKILL.md covers Act before asking, Establish the checkout, Validate an input without… and Install the host package when…, plus 3 more sections
- Runs Python scripts from its folder; calls python, docker and git
What it does
Hoi Object Reconstruction Setup is an agent skill from nvidia-isaac/video_to_data. Prepare this repository's HOI object reconstruction environment for BundleSDF or SAM3D. Use when a user asks to install host orchestration packages, validate Docker/GPU access, build missing reconstruction images, download mode-specific weights, preflight calibrated stereo input, or make the checkout ready before an HOI reconstruction run.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `agents/openai.yaml` and `scripts/preflight_input.py`).
It sits in DevOps & Cloud, covering Containers. It works with Docker. The repository describes itself as: Nvidia Isaac Video to Data Pipeline.
When your agent uses it
- A user asks to install host orchestration packages
- Validate Docker/GPU access
- Build missing reconstruction images
- Download mode-specific weights
Example prompts
- “/hoi-object-reconstruction-setup”
Requirements
- Python 3
- Docker
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Host wrapper import succeeds.
- Input preflight passes.
- Selected-mode images exist.
- Selected-mode weight directories are populated.
- The requested GPU is visible inside an already-built image
- For SAM3D, the EGL renderer initializes in v2d_sam3d
What it can do on your machine
Read from SKILL.md and the folder at commit 193382a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythondockergit
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use docker and git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Hoi Object Reconstruction Setup loads about 1.4k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 426 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 426 words (~1,381 tokens).
“Prepare the selected reconstruction mode and prove that it is runnable. Work from the repository checkout; run host orchestration from reconstruction/.”
- name
- hoi-object-reconstruction-setup
Files
SKILL.md and 2 other files (scripts) in .claude/skills/hoi-object-reconstruction-setup of nvidia-isaac/video_to_data.
- SKILL.md
- agents/openai.yaml
- scripts/preflight_input.py
Open the folder on GitHubat commit 193382a
Compare with similar skills
Hoi Object Reconstruction Setup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Hoi Object Reconstruction Setup this skillnvidia-isaac/video_to_data | 856 | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Iron Proxy Gateway for NanoClawnanocoai/nanoclaw | 31k | — | ~4.6k | Automated safety check: Notes | MIT | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| LangBot Deployment Guidelangbot-app/LangBot | 18k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | |
| Build Openshell Mxc WindowsNVIDIA/OpenShell | 16k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 |
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Ego Reconstruction Setup
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Prepare the repository-local egocentric reconstruction pipeline for Codex-driven work.
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Hoi Object Reconstruction Doctor
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Diagnose and repair failures in this repository's BundleSDF or SAM3D HOI object reconstruction workflow.
Hoi Object Reconstruction Run
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Launch, monitor, resume, and verify this repository's BundleSDF or SAM3D HOI object reconstruction pipeline.
Related
Works with
Categories
Questions about Hoi Object Reconstruction Setup
What does Hoi Object Reconstruction Setup do?
Prepare this repository's HOI object reconstruction environment for BundleSDF or SAM3D. Hoi Object Reconstruction Setup is an agent skill from nvidia-isaac/video_to_data. Prepare this repository's HOI object reconstruction environment for BundleSDF or SAM3D.
When should I use Hoi Object Reconstruction Setup?
Hoi Object Reconstruction Setup fits situations like: A user asks to install host orchestration packages; validate Docker/GPU access; build missing reconstruction images; download mode-specific weights.
How do I install Hoi Object Reconstruction Setup in Claude Code?
Run `npx skills add nvidia-isaac/video_to_data --skill hoi-object-reconstruction-setup -a claude-code`. Or copy the skill folder (.claude/skills/hoi-object-reconstruction-setup in nvidia-isaac/video_to_data) into .claude/skills/hoi-object-reconstruction-setup in your project. Claude Code loads it when a task matches its description.
How do I install Hoi Object Reconstruction Setup in Codex?
Run `npx skills add nvidia-isaac/video_to_data --skill hoi-object-reconstruction-setup -a codex`. Or copy the skill folder (.claude/skills/hoi-object-reconstruction-setup in nvidia-isaac/video_to_data) into .agents/skills/hoi-object-reconstruction-setup in your project. Codex loads it when a task matches its description.
Can I use Hoi Object Reconstruction Setup in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nvidia-isaac/video_to_data --skill hoi-object-reconstruction-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hoi-object-reconstruction-setup, .gemini/skills/hoi-object-reconstruction-setup, .github/skills/hoi-object-reconstruction-setup and .opencode/skills/hoi-object-reconstruction-setup in your project.
What does Hoi Object Reconstruction Setup need to run?
Going by SKILL.md and its folder, Hoi Object Reconstruction Setup needs Python for the scripts in its folder and the command-line tools its instructions call (python, docker and git). Our summary lists: Python 3; Docker.
Does Hoi Object Reconstruction Setup access the network?
SKILL.md contains no URLs. Its commands use docker and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Hoi Object Reconstruction Setup safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Hoi Object Reconstruction Setup use?
Hoi Object Reconstruction Setup has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Hoi Object Reconstruction Setup use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Hoi Object Reconstruction Setup?
Skills that share tags, products or a category with Hoi Object Reconstruction Setup: Iron Proxy Gateway for NanoClaw (nanocoai/nanoclaw, 31k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and LangBot Deployment Guide (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Hoi Object Reconstruction Setup?
nvidia-isaac (a GitHub organization) maintains it in nvidia-isaac/video_to_data, which has 856 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 8, 2026.
Source: nvidia-isaac/video_to_data on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.