hf-mcp
No security findings. Scanned 1 time, most recently 2026-02-06.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.
- Package
- 1 file, 4.9 KB
- SKILL.md
- 544 words, 12+ sections
- Code
- None. Instructions only.
SKILL.md covers: Hugging Face MCP Server · Use Cases & Examples · Find the Best Model for a Task · Compare Models from Different Providers · Find Training Datasets · Discover AI Tools (MCP Spaces) · Generate Images · Research a Topic · Learn How to Use a Library · Run a Quick GPU Job · Train a Model on Cloud GPU · Check Job Status
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 4.9 KB |
External hosts referenced
huggingface.co
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
HF_TOKEN
Package contents recorded 2026-10-22 at commit 2afeee6dc727. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/huggingface/skills
- Raw scan result: hf-mcp-skills-hf-mcp-scan.json
- Badge for your README:
- Request a re-scan