agent-bom-registry-x-2

原始内容

---
name: agent-bom-registry
description: >-
  MCP server security registry and trust assessment — look up servers in the 1013-entry
  server security metadata registry, run pre-install marketplace checks, batch
  fleet risk scoring, assess skill file trust, and run SAST code scans. Use when
  the user mentions MCP server trust, registry lookup, marketplace check, or
  skill trust assessment.
version: 0.98.2
license: Apache-2.0
compatibility: >-
  Requires Python 3.11+. Install via pipx or pip. Optional: Semgrep for SAST
  code scanning. No API keys or network access required (registry is bundled).
metadata:
  author: msaad00
  homepage: https://github.com/msaad00/agent-bom
  source: https://github.com/msaad00/agent-bom
  pypi: https://pypi.org/project/agent-bom/
  scorecard: https://securityscorecards.dev/viewer/?uri=github.com/msaad00/agent-bom
  tests: 7239
  install:
    pipx: agent-bom
    pip: agent-bom
  openclaw:
    requires:
      bins: []
      env: []
      credentials: none
    credential_policy: "Zero credentials required. Registry data is bundled locally. No network calls needed."
    credential_handling: "No credentials are required for bundled registry lookups. Optional enrichment tokens must stay in the operator environment and must not be printed or embedded in skill output."
    optional_env:
      - name: SNYK_TOKEN
        purpose: "Optional third-party vulnerability enrichment for code_scan (requires SNYK_TOKEN)"
        required: false
    optional_bins:
      - semgrep
    emoji: "\U0001F50D"
    homepage: https://github.com/msaad00/agent-bom
    source: https://github.com/msaad00/agent-bom
    license: Apache-2.0
    os:
      - darwin
      - linux
      - windows
    data_flow: "Purely local. Registry data (1013 MCP server metadata records) is bundled in the package. Lookups are in-memory string matches. Skill trust analysis parses user-provided SKILL.md content passed as a string argument."
    file_reads:
      - "user-provided SKILL.md files (for skill_trust analysis)"
    file_writes: []
    network_endpoints:
      - url: "https://api.snyk.io"
        purpose: "Optional third-party vulnerability enrichment for code_scan (requires SNYK_TOKEN)"
        auth: true
    telemetry: false
    persistence: false
    privilege_escalation: false
    always: false
    autonomous_invocation: restricted
---

# agent-bom-registry — MCP Server Trust & Security Registry

Look up MCP servers in the 1013-entry server security metadata registry, assess skill
file trust, and run pre-install marketplace checks.

## Install

```bash
pipx install agent-bom
agent-bom mcp scan @modelcontextprotocol/server-brave-search --ecosystem npm
agent-bom mcp scan @modelcontextprotocol/server-filesystem --ecosystem npm
```

## Tools (7)

| Tool | Description |
|------|-------------|
| `registry_lookup` | Look up MCP server in the 1013-entry security metadata registry |
| `marketplace_check` | Pre-install trust check with registry cross-reference |
| `fleet_scan` | Batch registry lookup + risk scoring for MCP server inventories |
| `skill_scan` | Scan instruction files for package refs, trust, and findings |
| `skill_verify` | Verify Sigstore provenance for instruction files |
| `skill_trust` | Assess skill file trust level (5-category analysis) |
| `code_scan` | SAST scanning via Semgrep with CWE-based compliance mapping |

## Example Workflows

```
# Look up a server in the registry
registry_lookup(server_name="brave-search")

# Pre-install trust check
marketplace_check(package="@modelcontextprotocol/server-filesystem")

# Scan instruction files and then assess a specific skill file
skill_scan(path=".")
skill_trust(skill_path="./SKILL.md")

# Batch risk scoring
fleet_scan(servers=["brave-search", "github", "slack"])
```

## MCP Resources

| Resource | Description |
|----------|-------------|
| `registry://servers` | Browse the 1013-entry MCP server security metadata registry |

## Privacy & Data Handling

Registry data is **bundled in the package** — lookups are in-memory string
matches with zero network calls. Skill trust analysis parses content passed
as a string argument (no file system access needed).

## Verification

- **Source**: [github.com/msaad00/agent-bom](https://github.com/msaad00/agent-bom) (Apache-2.0)
- **7,100+ tests** with CodeQL + OpenSSF Scorecard
- **No telemetry**: Zero tracking, zero analytics

name: agent-bom-registry description: >- MCP server security registry and trust assessment — look up servers in the 1013-entry server security metadata registry, run pre-install marketplace checks, batch fleet risk scoring, assess skill file trust, and run SAST code scans. Use when the user mentions MCP server trust, registry lookup, marketplace check, or skill trust assessment. version: 0.98.2 license: Apache-2.0 compatibility: >- Requires Python 3.11+. Install via pipx or pip. Optional: Semgrep for SAST code scanning. No API keys or network access required (registry is bundled). metadata: author: msaad00 homepage: https://github.com/msaad00/agent-bom source: https://github.com/msaad00/agent-bom pypi: https://pypi.org/project/agent-bom/ scorecard: https://securityscorecards.dev/viewer/?uri=github.com/msaad00/agent-bom tests: 7239 install: pipx: agent-bom pip: agent-bom openclaw: requires: bins: [] env: [] credentials: none credential_policy: "Zero credentials required. Registry data is bundled locally. No network calls needed." credential_handling: "No credentials are required for bundled registry lookups. Optional enrichment tokens must stay in the operator environment and must not be printed or embedded in skill output." optional_env: - name: SNYK_TOKEN purpose: "Optional third-party vulnerability enrichment for code_scan (requires SNYK_TOKEN)" required: false optional_bins: - semgrep emoji: "\U0001F50D" homepage: https://github.com/msaad00/agent-bom source: https://github.com/msaad00/agent-bom license: Apache-2.0 os: - darwin - linux - windows data_flow: "Purely local. Registry data (1013 MCP server metadata records) is bundled in the package. Lookups are in-memory string matches. Skill trust analysis parses user-provided SKILL.md content passed as a string argument." file_reads: - "user-provided SKILL.md files (for skill_trust analysis)" file_writes: [] network_endpoints: - url: "https://api.snyk.io" purpose: "Optional third-party vulnerability enrichment for code_scan (requires SNYK_TOKEN)" auth: true telemetry: false persistence: false privilege_escalation: false always: false autonomous_invocation: restricted

agent-bom-registry — MCP Server Trust & Security Registry

Look up MCP servers in the 1013-entry server security metadata registry, assess skill file trust, and run pre-install marketplace checks.

Install

pipx install agent-bom
agent-bom mcp scan @modelcontextprotocol/server-brave-search --ecosystem npm
agent-bom mcp scan @modelcontextprotocol/server-filesystem --ecosystem npm

Tools (7)

Tool	Description
`registry_lookup`	Look up MCP server in the 1013-entry security metadata registry
`marketplace_check`	Pre-install trust check with registry cross-reference
`fleet_scan`	Batch registry lookup + risk scoring for MCP server inventories
`skill_scan`	Scan instruction files for package refs, trust, and findings
`skill_verify`	Verify Sigstore provenance for instruction files
`skill_trust`	Assess skill file trust level (5-category analysis)
`code_scan`	SAST scanning via Semgrep with CWE-based compliance mapping

Example Workflows

# Look up a server in the registry
registry_lookup(server_name="brave-search")

# Pre-install trust check
marketplace_check(package="@modelcontextprotocol/server-filesystem")

# Scan instruction files and then assess a specific skill file
skill_scan(path=".")
skill_trust(skill_path="./SKILL.md")

# Batch risk scoring
fleet_scan(servers=["brave-search", "github", "slack"])

MCP Resources

Resource	Description
`registry://servers`	Browse the 1013-entry MCP server security metadata registry

Privacy & Data Handling

Registry data is bundled in the package — lookups are in-memory string matches with zero network calls. Skill trust analysis parses content passed as a string argument (no file system access needed).

Verification

Source: github.com/msaad00/agent-bom (Apache-2.0)
7,100+ tests with CodeQL + OpenSSF Scorecard
No telemetry: Zero tracking, zero analytics