Token导航 LogoToken导航TokenDH.com
效率需要联网clawhub未标认证来源可访问clear审计提醒

security-modeio安全模式

Agent Skill

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。

总安装

11,482

周安装

460

GitHub Stars

公开资料未说明

下载量

3,717
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:security-modeio(安全模式)
来源仓库:https://github.com/modeioai/security-modeio
安装命令:
openclaw skills install security-modeio
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 security-modeio

简介

实时拦截可能引发工具执行、文件编辑或权限变更的危险指令流。

  • 适用于开发调试、临时测试或高敏数据操作场景下的行为约束。
  • 基于预设规则库动态评估指令风险等级并分级处置。
  • 规则更新依赖后端同步,可能存在滞后于新型攻击手法的问题。
  • security-modeio 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
security
description
>-
version
0.1.0
metadata
clawdbot
homepage
https://github.com/mode-io/mode-io-skills/tree/main/security
requires
bins

Run backend-backed live safety checks

Use this skill to gate instructions that may trigger tools or state changes behind a backend-backed safety decision before execution.

This skill is for live instruction and operation safety only. For pre-install repository auditing, use skill-audit.

Maintainer-only validation assets are excluded from ClawHub uploads.

Scope

  • Included:

- live instruction safety checks through scripts/safety.py - backend-backed retry/error normalization for pre-execution decisions

  • Not included:

- pre-install repository auditing (skill-audit) - content masking or restoration workflows (privacy-protector) - request/response gateway routing (modeio-middleware)

Working directory

Run these commands from inside the security folder.

Requirements

  • Hard requirement: python3
  • Required package for successful live checks: requests
  • Required runtime condition: network reachability to the safety backend
  • Optional override: SAFETY_API_URL

Core commands

python3 scripts/safety.py -i "Delete /tmp/cache/build-123.log" \
  -c '{"environment":"local-dev","operation_intent":"cleanup","scope":"single-resource","data_sensitivity":"internal","rollback":"easy","change_control":"none"}' \
  -t "/tmp/cache/build-123.log" --json

python3 scripts/safety.py -i "DROP TABLE users" \
  -c '{"environment":"production","operation_intent":"destructive","scope":"broad","data_sensitivity":"regulated","rollback":"none","change_control":"ticket:DB-9021"}' \
  -t "postgres://prod/maindb.users" --json

Context contract

Pass --context as JSON with these keys when the instruction may change state:

{
  "environment": "local-dev|ci|staging|production|unknown",
  "operation_intent": "read-only|cleanup|maintenance|migration|permission-change|destructive|unknown",
  "scope": "single-resource|bounded-batch|broad|unknown",
  "data_sensitivity": "public|internal|sensitive|regulated|unknown",
  "rollback": "easy|partial|none|unknown",
  "change_control": "ticket:<id>|approved-manual|none|unknown"
}

--target should be a concrete resource identifier such as an absolute path, table name, service name, or URL.

Runtime notes

  • Success envelope: success, tool, mode, data
  • Error envelope: success, tool, mode, error
  • Error types: validation_error, dependency_error, network_error, api_error
  • For state-changing work, provide both --context and --target so the backend has enough context to judge risk
  • If the check fails with network/API/dependency issues, do not silently proceed
  • The CLI forwards the request and returns the backend result; it does not locally enforce caller policy

Caller policy guidance

approvedrisk_levelAgent action
truelowProceed.
truemediumProceed and mention the risk.
falsemediumRequire explicit confirmation before proceeding.
falsehighBlock by default and require explicit override.
falsecriticalBlock and require explicit acknowledgement before any override.

Resources

  • scripts/safety.py — live safety check entry point
  • ARCHITECTURE.md — command-safety package boundaries

When not to use

  • Pre-install or repository-level inspection that should happen before any execution attempt
  • Pure planning, summarization, or clearly read-only analysis with no tool call or state-change path
  • Data transformation tasks that need to rewrite or mask content rather than score runtime safety
  • Local routing or middleware scenarios where you need to sit in front of upstream model traffic

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

74.5%
按下载量换算2,769

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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

继续浏览同类 Skills