智能体漏洞

SKILL运维和基础设施
运维和基础设施 未标注权限 许可证不明确
安装这个技能

用agent-bom核查包/SBOM/依赖暴露面,对照OSV与GitHub Advisory阻断供应链漏洞

一句话选型结论

按资料字段整理

智能体漏洞是运维和基础设施类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类运维和基础设施 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install zcwl/agent-bom-vulnerability-intel
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

运维和基础设施
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方zcwl仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 enterprise
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791511019
正文体量6.7 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
查服务与日志

按现象定位服务状态与日志线索。

写部署与巡检脚本

把重复的部署、巡检写成脚本。

故障排查

按步骤排查网络、依赖与配置。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在运维和基础设施场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
智能体漏洞当前 未标注权限 未标注 未标注 未标注 有
Azure 部署 调用外部服务 GitHub 仓库 664.2 万 Codex、Claude、Cursor 有
Azure diagnostics 问题管理 调用外部服务 GitHub 仓库 657.6 万 Codex、Claude、Cursor 有
Azure aigateway 部署 调用外部服务 GitHub 仓库 655.3 万 Codex、Claude、Cursor 有
Azure AI 搜索 调用外部服务 GitHub 仓库 651.4 万 Codex、Claude、Cursor 有
Azure Cloud migrate 部署 调用外部服务 GitHub 仓库 650.7 万 Codex、Claude、Cursor 有

SKILL.md 全文

6.7 KB
模型实际读到的说明书原文,来自技能仓库

name: agent-bom-vulnerability-intel
description: >-
Use agent-bom to check package, SBOM, inventory, and agent dependency
exposure against OSV, GitHub Security Advisories, NVD, EPSS, and CISA KEV
with explicit data-boundary choices. Use when a user asks for CVE lookup,
advisory intelligence, exploitability context, fix versions, GHSA/OSV/NVD
enrichment, or package vulnerability triage.
version: 0.96.3
license: Apache-2.0
compatibility: >-
Requires Python 3.11+ and agent-bom installed from this repository or PyPI.
No credentials are required for basic public advisory lookups. Optional
NVD_API_KEY and GITHUB_TOKEN values only raise provider rate limits.
metadata:
author: msaad00
homepage: https://github.com/msaad00/agent-bom
source: https://github.com/msaad00/agent-bom
pypi: https://pypi.org/project/agent-bom/
openclaw:
requires:
bins:
- agent-bom
env: []
credentials: none
credential_policy: "Do not ask users to paste credentials. Optional NVD_API_KEY and GITHUB_TOKEN values may be present in the operator environment for rate limits, but their values must never be displayed, logged, or copied into prompts."
optional_env:
- NVD_API_KEY
- GITHUB_TOKEN
optional_bins: []
emoji: "\U0001F6E1"
homepage: https://github.com/msaad00/agent-bom
source: https://github.com/msaad00/agent-bom
license: Apache-2.0
os:
- darwin
- linux
- windows
credential_handling: "No cloud or source-control credentials are needed. Advisory API tokens stay in the operator environment and are used only by agent-bom's existing advisory clients; do not echo or persist token values."
data_flow: "Default package checks send package names, versions, ecosystems, PURLs, and CVE/advisory IDs to public advisory databases. Source code, raw config files, secrets, env values, and full scan reports are not sent to advisory providers. Use offline/cache-approved mode when private package names are sensitive."
file_reads:
- "operator-provided inventory JSON"
- "operator-provided CycloneDX/SPDX SBOM files"
- "local agent configuration paths only when the operator chooses a local scan"
file_writes:
- "operator-selected JSON/SARIF/report output path"
network_endpoints:
- url: "https://api.osv.dev/v1"
purpose: "OSV package vulnerability lookup"
auth: false
- url: "https://api.github.com/advisories"
purpose: "GitHub Security Advisories lookup; optional token only raises rate limits"
auth: false
- url: "https://services.nvd.nist.gov/rest/json/cves/2.0"
purpose: "NVD CVSS, CWE, and publication metadata enrichment"
auth: false
- url: "https://api.first.org/data/v1/epss"
purpose: "EPSS exploit probability enrichment"
auth: false
- url: "https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json"
purpose: "CISA Known Exploited Vulnerabilities enrichment"
auth: false
telemetry: false
persistence: false
privilege_escalation: false
always: false
autonomous_invocation: restricted


agent-bom-vulnerability-intel

Use this skill to answer vulnerability-intelligence questions through
agent-bom's existing scanners and canonical evidence model. Do not create
one-off OSV, GHSA, NVD, EPSS, or KEV clients in the agent session; route through
agent-bom so advisory provenance, aliases, severity gates, cache behavior,
redaction, and output schemas stay consistent.

Modes

Start with the smallest mode that answers the user:

Mode Use When Data Boundary
explain-only User wants to know what would be queried No advisory calls
check-package User names one package/version/ecosystem Only that package identifier is queried
scan-local User wants findings from local agents or a local inventory file Local parse first; advisory calls use package identifiers only
offline-review Private package names cannot leave the environment Use local/cache-approved data only; disclose reduced coverage
export User wants PR gate, SARIF, JSON, or audit evidence Write only to an operator-selected path

Guardrails

  • Ask before scanning a broad filesystem path or local agent configs.
  • Do not paste or reveal NVD_API_KEY, GITHUB_TOKEN, package-registry
    credentials, cloud credentials, or env values.
  • Do not send full source files, lockfiles, config contents, secrets, or scan
    reports to advisory providers. agent-bom extracts package identifiers first.
  • Treat unknown or unresolvable versions as coverage gaps, not clean results.
  • Preserve advisory provenance. Do not collapse OSV, GHSA, NVD, EPSS, and KEV
    into a single unlabelled severity.
  • Do not modify dependencies or install fixes unless the user explicitly asks
    for a remediation workflow.

Workflows

Explain the Boundary

When the user asks "what leaves my environment?", answer before running:

This lookup sends package identifiers (name, version, ecosystem/PURL) and CVE
IDs to public advisory databases. It does not send source code, raw configs,
secrets, env values, credentials, or full scan reports. Use offline-review if
private package names are sensitive.

Check One Package

agent-bom check flask==2.0.0 --ecosystem pypi

Use this for quick triage and fix-version checks. If the package name belongs
to a private registry or internal project, use explain-only first and let the
operator decide whether the identifier may be queried externally.

Scan a Canonical Inventory

agent-bom scan --inventory inventory.json --format json --output findings.json

Use this after an operator-pull adapter or discovery skill emits canonical
inventory. The inventory can stop at the file boundary; scanning is an explicit
operator handoff.

Export for a PR Gate

agent-bom scan --inventory inventory.json --format sarif --output agent-bom.sarif

Use SARIF only when the user wants GitHub code-scanning or AppSec PR-gate
evidence. Keep JSON for local analysis and audit trails.

Offline Review

If external advisory calls are not allowed, run with the project's offline or
cache-approved mode and say clearly that coverage depends on the locally
available vulnerability database. Do not call a clean offline result equivalent
to a fresh OSV/GHSA/NVD lookup.

Output Rules

  • Show CVE/GHSA/PYSEC aliases together when available.
  • Include severity source, fix version, EPSS, KEV status, CWE, and advisory
    source chain when present.
  • Separate "no vulnerabilities found" from "not enough data to evaluate."
  • Keep raw credentials and credential-bearing URLs out of output, logs, prompts,
    SARIF locations, and exported reports.

常见问题

5 问
答案由本站依据条目字段整理
智能体漏洞怎么安装?

在支持 Skills 的客户端里执行:skillhub install zcwl/agent-bom-vulnerability-intel。安装方式为未标注。装完刷新技能列表或重开客户端。

智能体漏洞支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

智能体漏洞权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

智能体漏洞收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

智能体漏洞用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。