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.
Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests.
OfficialApache-2.0Auto-check: notes
Install Tao List Capabilities
$ npx skills add NVIDIA/skills --skill tao-list-capabilities -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills tao-list-capabilities --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/tao-list-capabilities .claude/skills/tao-list-capabilities && 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 "tao-list-capabilities" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/tao-list-capabilities into .claude/skills/tao-list-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tao-list-capabilities", 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/tao-list-capabilitiesType 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 tao-list-capabilities -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills tao-list-capabilities --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/tao-list-capabilities .agents/skills/tao-list-capabilities && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tao-list-capabilities" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/tao-list-capabilities into .agents/skills/tao-list-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tao-list-capabilities", 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 tao-list-capabilities -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills tao-list-capabilities --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/tao-list-capabilities .cursor/skills/tao-list-capabilities && 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 "tao-list-capabilities" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/tao-list-capabilities into .cursor/skills/tao-list-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tao-list-capabilities", 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/tao-list-capabilities--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 tao-list-capabilities -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills tao-list-capabilities --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/tao-list-capabilities .gemini/skills/tao-list-capabilities && 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 "tao-list-capabilities" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/tao-list-capabilities into .gemini/skills/tao-list-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tao-list-capabilities", 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 tao-list-capabilitiesInstalls 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 tao-list-capabilities -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/tao-list-capabilities .github/skills/tao-list-capabilities && 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 "tao-list-capabilities" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/tao-list-capabilities into .github/skills/tao-list-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tao-list-capabilities", 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 tao-list-capabilities -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 tao-list-capabilities --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/tao-list-capabilities .opencode/skills/tao-list-capabilities && 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 "tao-list-capabilities" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/tao-list-capabilities into .opencode/skills/tao-list-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tao-list-capabilities", 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
tao-list-capabilities- GitHub stars
- 3.5k
- Token cost
- ~878 tokens
- SKILL.md length
- 310 words
- Files
- 6
- Skills in repo
- 380
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests.
- The user asks what can TAO Skill Bank do
- SKILL.md covers Quick Start, Capability Answers, Model Lists and AutoML Lists
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- List TAO models
What it does
Tao List Capabilities is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".
Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `BENCHMARK.md`, `config/skillspector-baseline.yaml` and `evals/evals.json`). Compatibility notes: Requires the packaged TAO skill bank helper scripts.
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.
When your agent uses it
- The user asks what can TAO Skill Bank do
- List TAO models
- Which TAO workflows are available
- What supports AutoML
Example prompts
- “what can TAO Skill Bank do”
- “list TAO models”
- “which TAO workflows are available”
- “/tao-list-capabilities”
Requirements
- Docker
- Compatibility (from SKILL.md): Requires the packaged TAO skill bank helper scripts.
- Pre-approved tools (allowed-tools): Read, Bash
What it can do on your machine
Read from SKILL.md and the folder at commit 67a13c0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadBash
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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.
Compatibility
Requires the packaged TAO skill bank helper scripts.
From compatibility in the SKILL.md frontmatter.
Context cost
Tao List Capabilities loads about 878 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 310 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Bash
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from NVIDIA/skills at commit 67a13c0, republished under its Apache-2.0 licence (© NVIDIA). 310 words, ~878 tokens.
Download SKILL.mdSave it as
.claude/skills/tao-list-capabilities/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- tao-list-capabilities
- description
- Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".
- allowed-tools
- Read, Bash
- compatibility
- Requires the packaged TAO skill bank helper scripts.
- license
- Apache-2.0
- metadata.author
- NVIDIA Corporation
- metadata.version
- 0.1.0
- tags
- tao, capabilities, discovery
TAO Skill Bank Capabilities
Standalone install? If this session was not initialized by the TAO skill bank plugin, run the
tao-setupskill first (host preflight, credentials, cross-skill discovery).
Use this skill when the user asks what tao-skill-bank can do, asks for plugin
capabilities, asks which application or data workflows are available, asks which
models are supported, or asks what models are capable with AutoML.
Quick Start
Run scripts/list_tao_capabilities.py for general capability questions, or
scripts/list_tao_models.py for model/action and AutoML support questions.
Capability Answers
For a general capabilities answer, run the packaged helper:
${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_tao_capabilities.py \
--skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --format textUse the helper output as the source of truth for the answer instead of manually enumerating capabilities from this skill or plugin metadata. Include:
- Every top-level application workflow under
applications/and what it can do. - Every top-level data workflow under
data/and what it can do. - Supported execution platforms, discovered from the installed platform skills
(tao-run-on-docker / -slurm / -kubernetes / -brev, plus any external one); on a
runtime that surfaces only the core router skills, read
skills/platform/tao-run-on-*/SKILL.mdfrontmatter. - The fine-tuning/deployment workflow coverage for models under
models/: train, evaluate, inference, export, and TensorRT engine generation when those actions are present in the packaged schema manifest. - AutoML support and the AutoML per-action schema gate.
Model Lists
When the user asks which TAO models are available or which actions a model can run, use the packaged model-list script instead of manually scanning model folders:
${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_tao_models.py \
--skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --scope all --format textThe model list comes from skills/models/schemas.manifest.json.
AutoML Lists
When the user asks what models are capable with AutoML, use the same model-list script in AutoML mode, or the compatibility wrapper:
${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_tao_models.py \
--skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --scope automl --format text${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_automl_support.py \
--skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --format textUse --action distill, --action prune, or --action quantize when the user
asks about a specific compression action.
AutoML support for an action requires
skills/models/<model_skill>/schemas/<action>.schema.json to be packaged with the plugin
and parse successfully as JSON. If that dataclass schema is missing or invalid,
do not describe the model/action as AutoML-supported.
© 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
Files
SKILL.md and 5 other files in skills/tao-list-capabilities of NVIDIA/skills.
- SKILL.md
- BENCHMARK.md
- config/skillspector-baseline.yaml
- evals/evals.json
- skill-card.md
- skill.oms.sig
Open the folder on GitHubat commit 67a13c0
Compare with similar skills
Tao List Capabilities 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 |
|---|---|---|---|---|---|---|
| Tao List Capabilities this skillNVIDIA/skills | 3.5k | — | ~878 | 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 |
Similar skills
- Official
LLM Torch Profiler Analysis
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
Embeddings via 9Router
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.
NEAR AI Cloud Private Inference
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.
- Official
Nemoclaw Maintainer Normalize Title Tags
NVIDIA/NemoClaw
Remove bracketed NemoClaw tags from GitHub issue and PR titles.
- Official
Nemoclaw Contributor Update Dependencies
NVIDIA/NemoClaw
Audit and implement a NemoClaw dependency version upgrade, including Hermes and base images.
More from NVIDIA/skills
All 380 skills in this repo- Official
Vss Deploy Detection Tracking 2D
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.
- Official
HSB IP Def File Tool
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.
- Official
Isaac Sim Mission Control Showcase
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.
- Official
Defect Image Generation with Cosmos AnomalyGen
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.
- Official
Physical AI Video Augmentation on OSMO
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
- Official
TAO Detection KPI Analysis
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.
Related
Works with
Questions about Tao List Capabilities
What does Tao List Capabilities do?
Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Tao List Capabilities is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests.
When should I use Tao List Capabilities?
Tao List Capabilities fits situations like: the user asks what can TAO Skill Bank do; list TAO models; which TAO workflows are available; what supports AutoML.
How do I install Tao List Capabilities in Claude Code?
Run `npx skills add NVIDIA/skills --skill tao-list-capabilities -a claude-code`. Or copy the skill folder (skills/tao-list-capabilities in NVIDIA/skills) into .claude/skills/tao-list-capabilities in your project. Claude Code loads it when a task matches its description.
How do I install Tao List Capabilities in Codex?
Run `npx skills add NVIDIA/skills --skill tao-list-capabilities -a codex`. Or copy the skill folder (skills/tao-list-capabilities in NVIDIA/skills) into .agents/skills/tao-list-capabilities in your project. Codex loads it when a task matches its description.
Can I use Tao List Capabilities 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/skills --skill tao-list-capabilities -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tao-list-capabilities, .gemini/skills/tao-list-capabilities, .github/skills/tao-list-capabilities and .opencode/skills/tao-list-capabilities in your project.
What does Tao List Capabilities need to run?
SKILL.md names no scripts, command-line tools or credentials: Tao List Capabilities is instructions for the agent only. Our summary lists: Docker. Its frontmatter pre-approves these tools: Read, Bash. Compatibility (from SKILL.md): Requires the packaged TAO skill bank helper scripts..
Does Tao List Capabilities access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Tao List Capabilities safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Tao List Capabilities use?
Tao List Capabilities 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.
How many tokens does Tao List Capabilities use?
About 878 tokens (SKILL.md is roughly 3.5k 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 Tao List Capabilities?
Skills that share tags, products or a category with Tao List Capabilities: 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.
Who maintains Tao List Capabilities?
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.