# NVIDIA/SkillSpector

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.

Repository: https://github.com/NVIDIA/SkillSpector
Canonical: https://ross.abutalabs.com/products/skillspector
Homepage: https://docs.nvidia.com/skills/scanning-agent-skills
Language: Python
License: Apache-2.0
License Family: permissive
Topics: agent-security, agent-skills, agentic-ai, ai-security, claude-code, mcp, prompt-injection, security-scanner, security-tools, security-workflow, supply-chain-security
Last push: 2026-08-26T22:26:20+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 11
- inputs: {"age_days": 166, "days_push": 7, "days_rel": 7, "gap_med": 1.5, "n_releases_24m": 13}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 15011, forks 1257 (observed 2026-08-28T04:11:09.047042+00:00)

## What it is
SkillSpector is a security scanner for AI agent skills used by Claude Code, Codex CLI, Gemini CLI, and MCP-based agents. It detects vulnerabilities, malicious patterns, prompt injection, data exfiltration, and supply-chain risks before a skill is installed, using static analysis plus optional LLM semantic evaluation.

## Use cases
- scan an agent skill for prompt injection before installing it
- check if a Claude Code skill is safe to install
- detect data exfiltration patterns in MCP skills
- audit agent skills for supply-chain risks
- generate SARIF reports for skill security findings
- gate skill installation in CI with a risk score
- suppress known false positives in skill re-scans

## When to choose
- you install third-party agent skills and want to vet them first
- you publish agent skills and need a security tier in your release pipeline
- you need SARIF/JSON security reports for agent skill bundles
- you want CVE lookups via OSV.dev plus static and semantic analysis in one tool

## When to avoid
- you need general-purpose SAST for ordinary application code
- you need runtime sandboxing or enforcement rather than pre-install scanning
- you need a GUI-based security dashboard

## Facets
- artifact type: cli-tool
- maturity: active
- function: security, vulnerability-scanning, linter, developer-tools, dependency-audit
- domain: security, developer-tools, large-language-models
- platform: python, cli, cross-platform
- tags: agent-skills, prompt-injection, mcp, claude-code, supply-chain-security, sarif, llm-analysis, yara, ai-agents

## Member repositories
- NVIDIA/SkillSpector (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:09.047042+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:06:46.511415+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA/SkillSpector (fetched 2026-08-28T04:11:09.047042+00:00, sha 8662aedb95c9)
  - homepage: https://docs.nvidia.com/skills/scanning-agent-skills (fetched 2026-08-29T08:04:50.931215+00:00, sha 02488ef7ae14)
  - site_page: https://docs.nvidia.com/skills/advanced-install (fetched 2026-08-29T08:04:50.941107+00:00, sha 174a02440d10)
  - site_page: https://docs.nvidia.com/skills/agent-skill-trust-pipeline (fetched 2026-08-29T08:04:50.943185+00:00, sha 2d243a48af52)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-policy (fetched 2026-08-29T08:04:50.945587+00:00, sha 5362c58d0750)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-center (fetched 2026-08-29T08:04:50.948401+00:00, sha b098377da9cc)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/terms-of-service (fetched 2026-08-29T08:04:50.950171+00:00, sha 85469b6ff0a1)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/accessibility (fetched 2026-08-29T08:04:50.952688+00:00, sha 8f61ce4143ec)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/company-policies (fetched 2026-08-29T08:04:50.954333+00:00, sha b169611fd7d6)
- Data as of 2026-08-30T08:39:29.467469+00:00.