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Agent Skill · 研究检索

agent-bom-vulnerability-intel(Agent bom 漏洞英特尔)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

agent-bom-vulnerability-intel 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 48,042。

总安装 706周安装 30GitHub Stars 公开资料未说明下载 247核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.83.3

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-bom-vulnerability-intel(Agent bom 漏洞英特尔)
来源仓库:https://github.com/msaad00/agent-bom-vulnerability-intel
安装命令:
openclaw skills install agent-bom-vulnerability-intel
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agent-bom-vulnerability-intel

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

基于 OSV、NVD、CISA KEV 等数据库检查代理依赖项漏洞。适合安全审计、依赖风险排查和认证流程复核。通过 clawhub 安装,可集成到 SBOM 或库存分析流程中。涉及密钥或用户数据时应确保操作边界和脱敏措施。不能将工具输出直接视为最终安全结论。

agent-bom-vulnerability-intel 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install agent-bom-vulnerability-intel;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

agent-bom-vulnerability-intel 怎么安装?

在终端执行 openclaw skills install agent-bom-vulnerability-intel。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-bom-vulnerability-intel 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

agent-bom-vulnerability-intel 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

agent-bom-vulnerability-intel 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

agent-bom-vulnerability-intel 用的人多吗?

公开数据是累计安装 706 次,近一周安装 30 次,下载 247 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

agent-bom-vulnerability-intel 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agent-bom-vulnerability-intel

Agent bom 漏洞英特尔 · 本页

706—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
agent-bom-vulnerability-intel
description
>-
version
0.84.0
license
Apache-2.0
compatibility
>-
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
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
optional_bins
[]
emoji
\F6E1
homepage
https://github.com/msaad00/agent-bom
source
https://github.com/msaad00/agent-bom
license
Apache-2.0
os
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
file_writes
network_endpoints
purpose
OSV package vulnerability lookup
auth
false
purpose
GitHub Security Advisories lookup; optional token only raises rate limits
auth
false
purpose
NVD CVSS, CWE, and publication metadata enrichment
auth
false
purpose
EPSS exploit probability enrichment
auth
false
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:

ModeUse WhenData Boundary
explain-onlyUser wants to know what would be queriedNo advisory calls
check-packageUser names one package/version/ecosystemOnly that package identifier is queried
scan-localUser wants findings from local agents or a local inventory fileLocal parse first; advisory calls use package identifiers only
offline-reviewPrivate package names cannot leave the environmentUse local/cache-approved data only; disclose reduced coverage
exportUser wants PR gate, SARIF, JSON, or audit evidenceWrite 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 agents --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 agents --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.

平台分布

OpenClaw

78.93%
按下载量换算195

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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