SkillSpector: inspect an AI skill before installing it

Resource details

For people who already have an AI skill folder and know Python and the terminal. A static report assists review; it cannot guarantee skill safety or isolate the host machine.

Before you start

Platforms

Check your environment

Content updated

2026-10-27

• Python >=3.12 and <3.15, as specified in the pinned pyproject.toml.
• Prepare uv and Git for the documented uv tool route. Installation fetches additional third-party dependencies.
• Prepare a local skill directory you have permission to inspect. The static --no-llm route needs no model API key.
• Even with --no-llm, the SC4 check may send dependency names and versions to OSV.dev for vulnerability queries, with a static fallback list when the network is unavailable.

uv tool install git+https://github.com/NVIDIA/skillspector.git@d7338f58200a9ae2a24810cee08911ab68b107a7
skillspector scan ./my-skill/ --no-llm --format json --output report.json

The installation command follows the README uv tool Git-URL route with the reviewed commit appended. Dependencies are still resolved by the package manager. The second line scans a local directory; the site has not installed or run the scanner.

Common pitfalls

• --no-llm disables model-based semantic analysis but does not mean fully offline operation. SC4 may still query OSV.dev with dependency names and versions.
• The tool does not isolate the host and cannot cover every risk, including text inside images and encrypted or compiled content. No findings does not mean safe.
• Not executing the scanned skill by default does not remove the need to review the checker and its dependencies. Pinning the project commit does not pin all dependency resolution.

Complete resource

【小目标】为自己有权检查的本地技能生成一份 JSON 报告，并逐项回看发现对应的源文件。

【开始前准备】Python >=3.12且<3.15；版本上限来自固定pyproject.toml。
准备uv和Git，用README的uv tool路线安装；安装会获取额外第三方依赖。
准备一个自己有权检查的本地skill目录；静态路线使用--no-llm，不要求模型API Key。
即使--no-llm，SC4检查仍可能把依赖名称和版本发送到OSV.dev查询漏洞，联网失败时使用静态回退列表。

【三步尝试】1. 准备环境与待查目录：准备Python 3.12至3.14、uv和Git；把待检查的skill放在本地单独目录，先不要启用它。
2. 按固定提交安装检查器：用上方固定提交的uv tool install命令安装检查器，然后把./my-skill/换成该目录路径。
3. 检查报告与源文件：运行静态扫描命令，打开report.json核对发现和未覆盖部分；结合源文件人工判断，再决定下一步。

【检查结果】应得到本地JSON报告，包含发现与检查范围；有报告或没有发现均不等于被检查技能安全。本站未运行此流程。

【来源与许可】官方仓库 NVIDIA/SkillSpector；固定提交 d7338f58200a9ae2a24810cee08911ab68b107a7，提交日期 2026-10-22（UTC）。2026-10-27 14:12:39（北京时间）读取的 GitHub daily 滚动榜中观察到本项目；这不是当日整天的排名或安全背书。
主项目为 Apache-2.0，分发时保留完整许可、适用第三方通知并标明修改。THIRD_PARTY_NOTICES.md 中的 MIT、BSD-3-Clause 与 Apache-2.0 依赖声明按原文保留；被扫描技能与外部模型仍有各自授权。

本站只提供原创导览和官方入口，导览按 CC BY 4.0 分享；不捆绑上游源码、安装包、图标、模型或用户素材。项目许可不自动覆盖依赖、商标、模型服务或托管平台，具体分发产物须另行核对。

2026-10-27 已只读核对官方固定提交的资料、完整许可和适用声明，按资料编写这份练习；本站未安装、登录或运行上游项目，也未进行安全审计。预期结果是供你自行核对的目标，不是本站实机测试记录。

How to use it

Generate a JSON report for a local skill you may inspect, then review each finding against the source.

1. Prepare the environment and skill directory

   Prepare Python 3.12 through 3.14, uv, and Git. Put the skill in a separate local directory without enabling it first.

2. Install the checker from the fixed commit

   Install the checker with the fixed-commit uv tool install command below. Replace ./my-skill/ with your directory path.

3. Review the report and source files

   Run the static scan command, open report.json, and inspect findings and uncovered areas. Review the source manually before deciding what to do next.

Expected output

A local JSON report should describe findings and check coverage. A report, including one with no findings, does not prove the skill is safe. The site has not run this workflow.

On 2026-10-27, the site reviewed official materials at a fixed commit, the complete license, and applicable notices to write this exercise. The upstream project was not installed, signed into, or run, and no security audit was performed. The expected result is a goal for you to check, not a record of a device test by this site.

Suitable uses

• For people who already have an AI skill folder and know Python and the terminal. A static report assists review; it cannot guarantee skill safety or isolate the host machine.

Before using it

• The main project uses Apache-2.0. Distributions must retain the complete license and applicable third-party notices and identify modifications. The MIT, BSD-3-Clause, and Apache-2.0 dependency notices in THIRD_PARTY_NOTICES.md are retained verbatim. Scanned skills and external models have their own permissions.
• --no-llm disables model-based semantic analysis but does not mean fully offline operation. SC4 may still query OSV.dev with dependency names and versions.
• The tool does not isolate the host and cannot cover every risk, including text inside images and encrypted or compiled content. No findings does not mean safe.
• Not executing the scanned skill by default does not remove the need to review the checker and its dependencies. Pinning the project commit does not pin all dependency resolution.

Authors and sources

Attribution

Site guide

Upstream author

NVIDIA CORPORATION & AFFILIATES and SkillSpector contributors

Source repository

https://github.com/NVIDIA/SkillSpector

Source revision

d7338f58200a9ae2a24810cee08911ab68b107a7

Licence checked

2026-10-27

Notices and modifications

Official repository NVIDIA/SkillSpector; fixed commit d7338f58200a9ae2a24810cee08911ab68b107a7, dated 2026-10-22 (UTC). The project was observed on the rolling GitHub daily list read at 14:12:39 China time on 2026-10-27. This is not a ranking for the entire day or a safety endorsement.

Complete licence

CC BY 4.0

CC BY 4.0 · Read the complete licence ↗

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Read the complete licence ↗

NOTICE

# Third-Party Software Notices

SkillSpector includes or depends on the following third-party open-source
software. Each component is listed with its license type, copyright notice,
and project URL.

## Runtime Dependencies

### typer

- **License:** MIT
- **Copyright:** Copyright (c) 2019 Sebastian Ramirez
- **URL:** https://github.com/fastapi/typer

### rich

- **License:** MIT
- **Copyright:** Copyright (c) 2020 Will McGugan
- **URL:** https://github.com/Textualize/rich

### httpx

- **License:** BSD-3-Clause
- **Copyright:** Copyright (c) 2019 Encode OSS Ltd
- **URL:** https://github.com/encode/httpx

### PyYAML

- **License:** MIT
- **Copyright:** Copyright (c) 2017-2021 Ingy dot Net; Copyright (c) 2006-2016 Kirill Simonov
- **URL:** https://github.com/yaml/pyyaml

### pydantic

- **License:** MIT
- **Copyright:** Copyright (c) 2017 to present Pydantic Services Inc. and individual contributors
- **URL:** https://github.com/pydantic/pydantic

### openai

- **License:** Apache-2.0
- **Copyright:** Copyright (c) OpenAI
- **URL:** https://github.com/openai/openai-python

### langgraph

- **License:** MIT
- **Copyright:** Copyright (c) 2024 LangChain, Inc.
- **URL:** https://github.com/langchain-ai/langgraph

### langgraph-cli

- **License:** MIT
- **Copyright:** Copyright (c) 2024 LangChain, Inc.
- **URL:** https://github.com/langchain-ai/langgraph

### langchain-core

- **License:** MIT
- **Copyright:** Copyright (c) LangChain, Inc.
- **URL:** https://github.com/langchain-ai/langchain

### langchain-openai

- **License:** MIT
- **Copyright:** Copyright (c) LangChain, Inc.
- **URL:** https://github.com/langchain-ai/langchain

### yara-python

- **License:** Apache-2.0
- **Copyright:** Copyright (c) 2007-2022 The YARA Authors
- **URL:** https://github.com/VirusTotal/yara-python

### google-auth

- **License:** Apache-2.0
- **Copyright:** Copyright 2014 Google Inc.
- **URL:** https://github.com/googleapis/google-auth-library-python

---

## License Texts

### MIT License

```
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```

### BSD 3-Clause License

```
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
   list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
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3. Neither the name of the copyright holder nor the names of its contributors
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
```

### Apache License 2.0

The full Apache License 2.0 text is distributed in the [LICENSE](LICENSE) file
at the root of this repository.

Verification scope

Documentation and license reviewed

Project documentation and license records reviewed only; upstream software was not installed, run or security-audited.

2026-10-27