Skill Inspector
NVIDIA/SkillSpector
Decides whether an agent skill is safe to install by combining a SkillSpector static scan with the agent's own source review, ending in APPROVE, CAUTION or REJECT.
A skill your agent uses when a concrete ./holohub command fails, hangs, regresses, or returns wrong output and needs reproducible diagnosis and verification.
$ npx skills add NVIDIA/skills --skill holohub-debug-build-run -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills holohub-debug-build-run --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/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/holohub-debug-build-run .claude/skills/holohub-debug-build-run && 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 "holohub-debug-build-run" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-debug-build-run into .claude/skills/holohub-debug-build-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-debug-build-run", 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/skills/tree/main/skills/holohub-debug-build-runType 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/skills --skill holohub-debug-build-run -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills holohub-debug-build-run --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/holohub-debug-build-run .agents/skills/holohub-debug-build-run && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "holohub-debug-build-run" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-debug-build-run into .agents/skills/holohub-debug-build-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-debug-build-run", 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/skills --skill holohub-debug-build-run -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills holohub-debug-build-run --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/holohub-debug-build-run .cursor/skills/holohub-debug-build-run && 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 "holohub-debug-build-run" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-debug-build-run into .cursor/skills/holohub-debug-build-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-debug-build-run", 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/skills.git --path skills/holohub-debug-build-run--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/skills --skill holohub-debug-build-run -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills holohub-debug-build-run --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/holohub-debug-build-run .gemini/skills/holohub-debug-build-run && 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 "holohub-debug-build-run" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-debug-build-run into .gemini/skills/holohub-debug-build-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-debug-build-run", 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/skills holohub-debug-build-runInstalls 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/skills --skill holohub-debug-build-run -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/holohub-debug-build-run .github/skills/holohub-debug-build-run && 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 "holohub-debug-build-run" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-debug-build-run into .github/skills/holohub-debug-build-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-debug-build-run", 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/skills --skill holohub-debug-build-run -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/skills holohub-debug-build-run --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/holohub-debug-build-run .opencode/skills/holohub-debug-build-run && 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 "holohub-debug-build-run" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-debug-build-run into .opencode/skills/holohub-debug-build-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-debug-build-run", 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.
holohub-debug-build-runA skill your agent uses when a concrete ./holohub command fails, hangs, regresses, or returns wrong output and needs reproducible diagnosis and verification.
Holohub Debug Build Run is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use when a concrete ./holohub command fails, hangs, regresses, or returns wrong output and needs reproducible diagnosis and verification.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `BENCHMARK.md`, `evals/evals.json` and `evals/extended-evals.json`).
It works with NVIDIA AI Platform. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
10 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 67a13c0. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Holohub Debug Build Run loads about 1.7k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 828 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- Never run `sudo ./holohub`. Obtain approval for host packages, host-localAutomated 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); files beside SKILL.md are not scanned.
The full file from NVIDIA/skills at commit 67a13c0, republished under its Apache-2.0 licence (© NVIDIA). 828 words, ~1,714 tokens.
.claude/skills/holohub-debug-build-run/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Turn one concrete wrapper failure into a minimally fixed, reproducible passing command with focused regression proof.
Require:
./holohub
command;Route non-failing app development to holohub-app-lifecycle, non-failing
Module work to holohub-module-lifecycle, and first-time SDK installation to
holoscan-setup. If the matching skill is unavailable, preserve the handoff
context and name the skill to install. Do not manufacture a failure.
The affected checkout's AGENTS.md, local help, exact reproduction, schemas,
and source are the live technical authority where they do not conflict with
user, system, or safety constraints.
If the request is planning-only or forbids execution, do not begin the steps below. Return only the proposed diagnostic order, evidence, approval boundaries, and proof requirements; do not run commands or change files, caches, artifacts, privileges, or environments.
version --json, env-info --json, relevant env-check --json,
and status --json, reviewing sensitive values before sharing.clear-cache or test --clear-cache, review
the resolved affected paths and obtain explicit user authorization before
reproduction; receiving a failing-command report is not approval for cache
cleanup. For a hang, preserve
all effect-bearing arguments but enforce an external timeout derived from
the recorded hang boundary; record the deadline, termination signal, exit
status, and whether child wrapper or container processes remain. If it no
longer reproduces, compare revision, state, inputs, image, cache,
display/devices, and environment, then report the mismatch rather than
inventing a fix.clear-cache scope, review every resolved
path, and obtain explicit user approval before clearing those paths.test <module> is not module-scoped. Run
git diff --check.If the failure does not reproduce, report the state mismatch. If it belongs to a non-failing app or Module workflow, preserve the reproduction context and route it to the matching lifecycle skill.
holohub-app-lifecycle.sudo ./holohub. Obtain approval for host packages, host-local
execution, root containers, devices/capabilities, debugger attachment, core
dumps, or permission changes.Return the exact reproduction, environment and revision, primary layer, root cause, useful rejected hypotheses, minimal fix, passing proof, focused tests and artifacts, remaining uncertainty, and final worktree state.
For a planning-only request, return the proposed diagnostic order, evidence, approval boundaries, and proof requirements without claiming execution.
© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 8 other files (references) in skills/holohub-debug-build-run of NVIDIA/skills.
Open the folder on GitHubat commit 67a13c0
Holohub Debug Build Run 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 |
|---|---|---|---|---|---|---|
| Holohub Debug Build Run this skillNVIDIA/skills | 3.5k | — | ~1.7k | Automated safety check: Notes | Apache-2.0 | |
| Skill InspectorNVIDIA/SkillSpector | 20k | 1 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Embeddings via 9Routerdecolua/9router | 30k | — | ~604 | Automated safety check: Pass | MIT | |
| NEAR AI Cloud Private Inferenceinternet-court/internet-court-skill | 6.4k | 2 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Nemoclaw Maintainer Normalize Title TagsNVIDIA/NemoClaw | 23k | — | ~693 | Automated safety check: Pass | Apache-2.0 |
NVIDIA/SkillSpector
Decides whether an agent skill is safe to install by combining a SkillSpector static scan with the agent's own source review, ending in APPROVE, CAUTION or REJECT.
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
decolua/9router
Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search.
internet-court/internet-court-skill
Shows how to call NEAR AI Cloud through an OpenAI-compatible API and verify that inference ran in a TEE, using attestation checks and signed chat responses.
NVIDIA/NemoClaw
Remove bracketed NemoClaw tags from GitHub issue and PR titles.
NVIDIA/NemoClaw
Audit and implement a NemoClaw dependency version upgrade, including Hermes and base images.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Works with
A skill your agent uses when a concrete ./holohub command fails, hangs, regresses, or returns wrong output and needs reproducible diagnosis and verification. Holohub Debug Build Run is an agent skill from NVIDIA/skills, published by the product's own GitHub organization./holohub command fails, hangs, regresses, or returns wrong output and needs reproducible diagnosis and verification.
Holohub Debug Build Run fits situations like: A concrete ./holohub command fails; returns wrong output and needs reproducible diagnosis and verification.
Run `npx skills add NVIDIA/skills --skill holohub-debug-build-run -a claude-code`. Or copy the skill folder (skills/holohub-debug-build-run in NVIDIA/skills) into .claude/skills/holohub-debug-build-run in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill holohub-debug-build-run -a codex`. Or copy the skill folder (skills/holohub-debug-build-run in NVIDIA/skills) into .agents/skills/holohub-debug-build-run in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill holohub-debug-build-run -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/holohub-debug-build-run, .gemini/skills/holohub-debug-build-run, .github/skills/holohub-debug-build-run and .opencode/skills/holohub-debug-build-run in your project.
Going by SKILL.md and its folder, Holohub Debug Build Run needs the command-line tools its instructions call (git).
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Holohub Debug Build Run is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Holohub Debug Build Run: Skill Inspector (NVIDIA/SkillSpector, 20k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Embeddings via 9Router (decolua/9router, 30k stars) and NEAR AI Cloud Private Inference (internet-court/internet-court-skill, 6.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,539 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.