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driftguarddriftguard 搜索

Agent Skill

driftguard 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

9,765

周安装

411

GitHub Stars

1

下载量

3,420
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:driftguard(driftguard 搜索)
来源仓库:https://github.com/david90232/driftguard
安装命令:
openclaw skills install driftguard
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 driftguard

简介

扫描本地仓库和 OpenClaw 技能的完整性,建立可信基线。

  • 适合在信任代码前保存哈希快照,并在更新后进行差异比对时使用。
  • 支持自动化校验脚本生成和异常报告输出。driftguard 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需确保扫描环境安全,避免恶意代码篡改校验结果。
  • 建议定期执行全量扫描,纳入 CI/CD 流程保障持续合规。

SKILL.md

name
skill-drift-guard
description
Local-first security drift scanner for repos, OpenClaw skills, and AI agent tools. Use to scan before trust, save trusted baselines, compare after updates, review file/hash drift, dependency drift, install-hook changes, symlink changes, prompt-injection signals, sensitive-path references, obfuscation, shell execution, network access, and risky capability diffs.

Skill Drift Guard

Trust what you review. Compare what changed since trust.

Use this skill for local security/integrity checks and post-update drift detection on repos, installed skills, and AI agent tool folders.

This skill is intentionally narrower than a generic security scanner. Its best use is:

  • scan a local skill folder or repo before trust
  • save a trusted baseline after review, including approver, note, git commit, package version, risk snapshot, and finding summary
  • compare later to answer what changed since trust
  • highlight risky new capabilities like shell, network, sensitive file access, symlinks, dependencies, prompt-injection signals, obfuscation, or install hooks

Quick start

Run the scanner directly from the installed skill folder:

node {baseDir}/scripts/cli.js scan <path>

Save a trusted baseline after review:

node {baseDir}/scripts/cli.js trust <path>

Save a trusted baseline to a custom location:

node {baseDir}/scripts/cli.js trust <path> --baseline ./reports/skill-baseline.json

Compare a skill or repo against a saved baseline:

node {baseDir}/scripts/cli.js compare <path> --baseline ./reports/skill-baseline.json

Recommended workflow

1. Scan before trust

Review the candidate repo or skill first.

node {baseDir}/scripts/cli.js scan /path/to/skill

Treat high or critical output as a stop sign until manually reviewed.

2. Trust after review

If the findings are acceptable, save a trusted baseline.

node {baseDir}/scripts/cli.js trust /path/to/skill

3. Compare after updates

After the skill changes or updates, compare it to the saved baseline.

node {baseDir}/scripts/cli.js compare /path/to/skill --baseline ./reports/baseline.json

Look especially for:

  • newly added or changed files
  • new shell or network findings
  • dependency or install-hook drift
  • new symlinks or sensitive file references

What it checks

  • risky shell execution patterns like curl | bash, eval, exec, subprocess, os.system
  • outbound network patterns like fetch, axios, requests, curl, webhook usage
  • references to sensitive files like .env, SSH keys, SOUL.md, MEMORY.md, OpenClaw config
  • prompt injection style content in SKILL.md, SOUL.md, MEMORY.md
  • obfuscation hints like base64 helpers and long encoded blobs
  • symlink drift without following symlinks
  • dependency drift in package.json, requirements.txt, and pyproject.toml
  • install-hook changes in package.json
  • combo risks like:

- shell + network - network + sensitive files - shell + prompt-injection signals - obfuscation + active capabilities

Config suppressions

Use a .driftguard.json file in the scan root, or pass --config <file>.

Example:

{
  "ignorePaths": ["dist/", "fixtures/"],
  "ignoreRules": ["net.fetch", "shell.exec_generic", "shell.*"]
}

Use suppressions sparingly. If a rule is noisy, prefer narrowing it later instead of muting the whole category.

Exit codes

  • 0 for low risk and no drift
  • 1 for medium risk or drift detected
  • 2 for high or critical risk

Use this for CI or install gating.

Positioning

Use this skill when you want a transparent, local, deterministic trust workflow. Do not use it as the sole authority for safety. It is a heuristic scanner plus drift guard, not a guarantee.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.51%
按下载量换算3,130

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install driftguard 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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