Token导航 LogoToken导航

Agent Skill · 研究检索

clawscan-autosec-dev(爪扫描自动安全开发)

clawscan-autosec-dev 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。

clawscan-autosec-dev 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 13,984。

总安装 8,934周安装 376GitHub Stars 公开资料未说明下载 3,128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
1.0.0

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:clawscan-autosec-dev(爪扫描自动安全开发)
来源仓库:https://github.com/fate93930/clawscan-autosec-dev
安装命令:
openclaw skills install clawscan-autosec-dev
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 clawscan-autosec-dev

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。

clawscan-autosec-dev 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。对 openclaw 部署执行首次安全检查,包括注册客户端和检查 clawscan 包版本。自动识别过时组件和安全风险。

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。可结合来源仓库、安装命令和原始 README 继续核验具体用法。

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 clawscan-autosec-dev;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

clawscan-autosec-dev 怎么安装?

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

clawscan-autosec-dev 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。

clawscan-autosec-dev 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。

clawscan-autosec-dev 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。

clawscan-autosec-dev 用的人多吗?

公开数据是累计安装 8,934 次,近一周安装 376 次,下载 3,128 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。

clawscan-autosec-dev 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
clawscan-autosec-dev

爪扫描自动安全开发 · 本页

8,934—接触敏感数据MIT-0有提醒

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
clawscan
description
perform first-pass security checks for openclaw deployments by registering the client, checking whether the installed clawscan package is outdated, checking whether the current openclaw version matches known vulnerable versions, checking whether installed skills match known malicious hashes, and checking whether openclaw or related services are listening on 0.0.0.0 or other non-local interfaces. use this skill when a user asks to assess whether openclaw is safe, run a clawscan check, verify openclaw version risk, verify skills hashes, or review listening ports and exposure risk.
homepage
https://github.com/autosecdev/clawscan-skills
user-invocable
true
metadata
{"openclaw.requires.bins":["python3"],"openclaw.requires.anyBins":["ss","lsof"],"openclaw.os":["darwin","linux"]}

Clawscan

Use this skill to run the first version of ClawScan against a local OpenClaw environment.

Core rules

  • Treat this skill as read-only by default.
  • Do not auto-install updates, remove skills, change firewall rules, or rewrite OpenClaw configuration unless the user explicitly asks.
  • Prefer the smallest amount of local data needed for each API call.
  • Do not upload raw skill file contents, environment variables, prompts, secrets, or full home-directory paths unless the user explicitly asks.
  • Use SHA-256 for file hashes.
  • If a module returns no match or no finding, explain that this means no known issue was matched, not that the environment is guaranteed safe.

Capability map

This skill supports these tasks:

  1. index: explain available ClawScan modules and how to use them
  2. register: create or reuse a local random client id and register the OpenClaw client
  3. update-check: check whether the installed ClawScan package is outdated
  4. vulnerability: check whether the current OpenClaw version matches known vulnerable versions
  5. skills-check: compute installed skill file hashes and submit them for known-malicious matching
  6. port-check: inspect local listening sockets and flag likely exposure risk
  7. scan: run vulnerability, skills-check, and port-check together when the service supports a combined route
  8. scheduled-scan: run a full scan automatically at a configured interval and report only when security risks are found; stay silent if all checks are clean

Workflow

Follow this order unless the user requests a single module only.

1) Identify the requested action

Map user intent to one of these actions:

  • “what can clawscan do” -> index
  • “set up clawscan” / “initialize” / “register this client” -> register
  • “is my clawscan up to date” -> update-check
  • “is my openclaw version vulnerable” -> vulnerability
  • “check my installed skills” / “scan skills hashes” -> skills-check
  • “is openclaw exposed” / “check listening ports” -> port-check
  • “run a full check” -> scan if available, otherwise run the three scan modules sequentially
  • “set up scheduled scan” / “auto scan every X minutes” / “enable periodic security check” -> scheduled-scan

2) Collect only the required local evidence

For register

Create a persistent random UUID if one does not already exist.

Suggested local state path:

  • ~/.openclaw/clawscan/client.json

Store:

{
  "client_id": "uuid-v4"
}

Do not derive the id from MAC address, hostname, serial number, or other hardware fingerprinting sources.

For vulnerability

Collect only:

  • client_id
  • openclaw_version
  • optional platform

Try these version discovery patterns in order and use the first one that works:

openclaw --version
claw --version
cat package.json | jq -r .version

If version cannot be determined, tell the user exactly which command failed and ask for the version string.

For skills-check

Enumerate installed skills and compute a SHA-256 per file.

Default skill locations to inspect if they exist:

  • ~/.openclaw/skills
  • project or workspace-local ./skills

Use {baseDir}/scripts/collect_skill_hashes.py to produce normalized JSON.

Submit only:

  • skill_name
  • relative file path
  • sha256

Avoid sending absolute paths unless the service explicitly requires them.

For port-check

Collect listening TCP sockets and process names with {baseDir}/scripts/list_listeners.py.

Focus the risk explanation on:

  • whether the bind address is 0.0.0.0, ::, or another non-loopback interface
  • whether the process appears to be OpenClaw or an OpenClaw-adjacent process
  • whether the port is likely reachable beyond localhost

Do not claim that 0.0.0.0 always means public internet exposure. Explain that it means the service is bound to all interfaces and may be externally reachable depending on firewall, NAT, security groups, reverse proxy, or local network topology.

3) Call the ClawScan API

Use the endpoint shape documented in {baseDir}/references/api-contract.md.

Preferred route layout:

  • GET /index
  • POST /register
  • POST /update/check
  • POST /vulnerability
  • POST /skills-check
  • POST /port-check
  • POST /scan when supported

If the service only exposes /update instead of /update/check, use the deployed route but keep the user-facing explanation as “update check”.

4) Present results in a strict report format

For every module, use this structure:

Result
  • Status: ok / error
  • Risk: low / medium / high / critical / unknown
  • Conclusion: one plain-language sentence
Evidence
  • Show the minimum relevant facts returned by the API
  • For version checks, include current version, affected range, and fixed version if present
  • For skills checks, include matched skill names and matched relative file paths if present
  • For port checks, include bind address, port, process name, and why the bind pattern is risky
Recommended next step
  • Give one to three concrete actions
  • Keep them non-destructive unless the user asked for remediation
Scope note

Always include a one-sentence boundary statement:

  • vulnerability: “This only checks known vulnerable version ranges.”
  • skills-check: “This only checks known malicious hashes covered by the current ClawScan corpus.”
  • port-check: “This is based on local listener state and bind addresses; it is not a full external reachability test.”
For scheduled-scan

Run vulnerability, skills-check, and port-check (same as scan) on a repeating schedule.

Default interval: 60 minutes unless the user specifies a different value.

Schedule state path:

  • ~/.openclaw/clawscan/schedule.json

Store:

{
  "interval_minutes": 60,
  "last_run_utc": "ISO-8601 timestamp or null"
}

Reporting rule (critical):

  • If every check returns risk level low and no actionable finding is present → produce no output. Do not tell the user "all clear" unless they explicitly ask for a status.
  • If any check returns risk level medium, high, critical, or unknown → produce a full report using the standard per-module structure from step 4.
  • Apply this rule on every scheduled execution, not just the first run.

Trigger logic:

  1. On each cycle, read last_run_utc from schedule.json.
  2. If (now − last_run_utc) >= interval_minutes, execute the full scan.
  3. After execution, write the new last_run_utc regardless of whether a report was produced.
  4. If last_run_utc is null (first run), execute immediately.

Failure handling for scheduled runs:

  • If a local collection step fails, emit a brief error notice even if no risk was found (collection failure is itself a reportable event).
  • If the API is unreachable for three consecutive scheduled runs, emit a single notice: "ClawScan API has been unreachable for the past N scheduled runs."

Output templates

index

Use:

ClawScan can currently run these checks:
1. Version vulnerability check
2. Installed skills hash check
3. Port exposure check

You can ask me to initialize ClawScan, check for updates, or run one module at a time.

register

Use:

ClawScan registration completed.
- Client ID: <uuid>
- OpenClaw version: <version or unknown>
- Status: <registered|already registered>

### `skills-check`

If there is a hit, make the first sentence explicit:

Known malicious content was matched in the installed skills set.


If there is no hit, say:

No known malicious skill hash was matched. This does not prove that the installed skills are safe.


### `port-check`

When `0.0.0.0` or `::` is present, state:

This service is listening on all interfaces, which increases exposure risk.


Do not overstate it as “publicly exposed” unless the API explicitly confirms external reachability.

### `scheduled-scan`

When risks are detected, prefix the report with:

[ClawScan scheduled check — <ISO-8601 timestamp>] Security risk detected. Full report follows.


Then output the standard per-module report for every module that has a finding.

When no risks are detected, produce **no output at all**.

When setting up the schedule for the first time, confirm with:

ClawScan scheduled scan enabled.

  • Interval: every <N> minutes
  • Next run: <ISO-8601 timestamp>
  • Reporting: only on risk findings

## Failure handling

- If a local collection step fails, report the failed command and stop before fabricating any result.
- If the API is unreachable, separate “collection succeeded” from “remote analysis failed”.
- If the API returns partial results, present the completed modules and label the rest as incomplete.

## Bundled resources

- `{baseDir}/scripts/collect_skill_hashes.py`: recursively compute SHA-256 for installed skills and emit normalized JSON payload fragments
- `{baseDir}/scripts/list_listeners.py`: normalize listening TCP socket information from `ss` or `lsof`
- `{baseDir}/references/api-contract.md`: request and response shapes for the first ClawScan service version

平台分布

OpenClaw

97.12%
按下载量换算3,038

安全审计

VirusTotal

可疑

ClawScan

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills