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Agent Skill · 研究检索

signal-hardened(信号硬化)

signal-hardened 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。

signal-hardened 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 44,527。

总安装 908周安装 39GitHub Stars 公开资料未说明下载 318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:signal-hardened(信号硬化)
来源仓库:https://github.com/snazar-faberlens/signal-hardened
安装命令:
openclaw skills install signal-hardened
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 signal-hardened

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。

signal-hardened 桥接 Claude 会话至 Telegram、Discord 等平台。适用于移动端交互、多端同步与即时通讯集成需求。支持飞书/Lark 与 QQ,提供设置启动与消息转发功能。需分别配置各平台 API 密钥与机器人权限。注意跨平台消息格式差异,确保内容安全与合规传输。

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 signal-hardened;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

signal-hardened 怎么安装?

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

signal-hardened 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。

signal-hardened 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。

signal-hardened 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。

signal-hardened 用的人多吗?

公开数据是累计安装 908 次,近一周安装 39 次,下载 318 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。

signal-hardened 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
signal-hardened

信号硬化 · 本页

908—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
claude-to-im-hardened
description
|
Subcommands
setup, start, stop, status, logs, reconfigure, doctor.
argument-hint
setup | start | stop | status | logs [N] | reconfigure | doctor
allowed-tools

Claude-to-IM Bridge Skill

You are managing the Claude-to-IM bridge. User data is stored at ~/.claude-to-im/.

The skill directory (SKILL_DIR) is at ~/.claude/skills/claude-to-im. If that path doesn't exist, fall back to Glob with pattern **/skills/**/claude-to-im/SKILL.md and derive the root from the result.

Command parsing

Parse the user's intent from $ARGUMENTS into one of these subcommands:

User says (examples)Subcommand
setup, configure, 配置, 我想在飞书上用 Claude, 帮我连接 Telegramsetup
start, start bridge, 启动, 启动桥接start
stop, stop bridge, 停止, 停止桥接stop
status, bridge status, 状态, 运行状态, 怎么看桥接的运行状态status
logs, logs 200, 查看日志, 查看日志 200logs
reconfigure, 修改配置, 帮我改一下 token, 换个 botreconfigure
doctor, diagnose, 诊断, 挂了, 没反应了, bot 没反应, 出问题了doctor

Disambiguation: status vs doctor — Use status when the user just wants to check if the bridge is running (informational). Use doctor when the user reports a problem or suspects something is broken (diagnostic). When in doubt and the user describes a symptom (e.g., "没反应了", "挂了"), prefer doctor.

Extract optional numeric argument for logs (default 50).

Before asking users for any platform credentials, first read SKILL_DIR/references/setup-guides.md to get the detailed step-by-step guidance for that platform. Present the relevant guide text to the user via AskUserQuestion — users often don't know where to find bot tokens or app secrets, so showing the guide upfront saves back-and-forth.

Runtime detection

Before executing any subcommand, detect which environment you are running in:

  1. Claude Code — AskUserQuestion tool is available. Use it for interactive setup wizards.
  2. Codex / other — AskUserQuestion is NOT available. Fall back to non-interactive guidance: explain the steps, show SKILL_DIR/config.env.example, and ask the user to create ~/.claude-to-im/config.env manually.

You can test this by checking if AskUserQuestion is in your available tools list.

Config check (applies to start, stop, status, logs, reconfigure, doctor)

Before running any subcommand other than setup, check if ~/.claude-to-im/config.env exists:

  • If it does NOT exist:

- In Claude Code: tell the user "No configuration found" and automatically start the setup wizard using AskUserQuestion. - In Codex: tell the user "No configuration found. Please create ~/.claude-to-im/config.env based on the example:" then show the contents of SKILL_DIR/config.env.example and stop. Don't attempt to start the daemon — without config.env the process will crash on startup and leave behind a stale PID file that blocks future starts.

  • If it exists: proceed with the requested subcommand.

Subcommands

setup

Run an interactive setup wizard. This subcommand requires AskUserQuestion. If it is not available (Codex environment), instead show the contents of SKILL_DIR/config.env.example with field-by-field explanations and instruct the user to create the config file manually.

When AskUserQuestion IS available, collect input one field at a time. After each answer, confirm the value back to the user (masking secrets to last 4 chars only) before moving to the next question.

Step 1 — Choose channels

Ask which channels to enable (telegram, discord, feishu, qq). Accept comma-separated input. Briefly describe each:

  • telegram — Best for personal use. Streaming preview, inline permission buttons.
  • discord — Good for team use. Server/channel/user-level access control.
  • feishu (Lark) — For Feishu/Lark teams. Event-based messaging.
  • qq — QQ C2C private chat only. No inline permission buttons, no streaming preview. Permissions use text /perm ... commands.

Step 2 — Collect tokens per channel

For each enabled channel, read SKILL_DIR/references/setup-guides.md and present the relevant platform guide to the user. Collect one credential at a time:

  • Telegram: Bot Token → confirm (masked) → Chat ID (see guide for how to get it) → confirm → Allowed User IDs (optional). Important: At least one of Chat ID or Allowed User IDs must be set, otherwise the bot will reject all messages.
  • Discord: Bot Token → confirm (masked) → Allowed User IDs → Allowed Channel IDs (optional) → Allowed Guild IDs (optional). Important: At least one of Allowed User IDs or Allowed Channel IDs must be set, otherwise the bot will reject all messages (default-deny).
  • Feishu: App ID → confirm → App Secret → confirm (masked) → Domain (optional) → Allowed User IDs (optional). Guide through all 4 steps (A: batch permissions, B: enable bot, C: events & callbacks with long connection, D: publish version).
  • QQ: Collect two required fields, then optional ones:

1. QQ App ID (required) → confirm 2. QQ App Secret (required) → confirm (masked) - Tell the user: these two values can be found at https://q.qq.com/qqbot/openclaw 3. Allowed User OpenIDs (optional, press Enter to skip) — note: this is user_openid, NOT QQ number. If the user doesn't have openid yet, they can leave it empty. 4. Image Enabled (optional, default true, press Enter to skip) — if the underlying provider doesn't support image input, set to false 5. Max Image Size MB (optional, default 20, press Enter to skip) - Remind user: QQ first version only supports C2C private chat sandbox access. No group/channel support, no inline buttons, no streaming preview.

Step 3 — General settings

Ask for runtime, default working directory, model, and mode:

  • Runtime: claude (default), codex, auto

- claude — uses Claude Code CLI + Claude Agent SDK (requires claude CLI installed) - codex — uses OpenAI Codex SDK (requires codex CLI; auth via codex auth login or OPENAI_API_KEY) - auto — tries Claude first, falls back to Codex if Claude CLI not found

  • Working Directory: default $CWD
  • Model (optional): Leave blank to inherit the runtime's own default model. If the user wants to override, ask them to enter a model name. Do NOT hardcode or suggest specific model names — the available models change over time.
  • Mode: code (default), plan, ask

Step 4 — Write config and validate

  1. Show a final summary table with all settings (secrets masked to last 4 chars)
  2. Ask user to confirm before writing
  3. Use Bash to create directory structure: mkdir -p ~/.claude-to-im/{data,logs,runtime,data/messages}
  4. Use Write to create ~/.claude-to-im/config.env with all settings in KEY=VALUE format
  5. Use Bash to set permissions: chmod 600 ~/.claude-to-im/config.env
  6. Validate tokens — read SKILL_DIR/references/token-validation.md for the exact commands and expected responses for each platform. This catches typos and wrong credentials before the user tries to start the daemon.
  7. Report results with a summary table. If any validation fails, explain what might be wrong and how to fix it.
  8. On success, tell the user: "Setup complete! Run /claude-to-im start to start the bridge."

start

Pre-check: Verify ~/.claude-to-im/config.env exists (see "Config check" above). Without it, the daemon will crash immediately and leave a stale PID file.

Run: bash "SKILL_DIR/scripts/daemon.sh" start

Show the output to the user. If it fails, tell the user:

  • Run doctor to diagnose: /claude-to-im doctor
  • Check recent logs: /claude-to-im logs

stop

Run: bash "SKILL_DIR/scripts/daemon.sh" stop

status

Run: bash "SKILL_DIR/scripts/daemon.sh" status

logs

Extract optional line count N from arguments (default 50). Run: bash "SKILL_DIR/scripts/daemon.sh" logs N

reconfigure

  1. Read current config from ~/.claude-to-im/config.env
  2. Show current settings in a clear table format, with all secrets masked (only last 4 chars visible)
  3. Use AskUserQuestion to ask what the user wants to change
  4. When collecting new values, read SKILL_DIR/references/setup-guides.md and present the relevant guide for that field
  5. Update the config file atomically (write to tmp, rename)
  6. Re-validate any changed tokens
  7. Remind user: "Run /claude-to-im stop then /claude-to-im start to apply the changes."

doctor

Run: bash "SKILL_DIR/scripts/doctor.sh"

Show results and suggest fixes for any failures. Common fixes:

  • SDK cli.js missing → cd SKILL_DIR && npm install
  • dist/daemon.mjs stale → cd SKILL_DIR && npm run build
  • Config missing → run setup

For more complex issues (messages not received, permission timeouts, high memory, stale PID files), read SKILL_DIR/references/troubleshooting.md for detailed diagnosis steps.

Notes

  • Always mask secrets in output (show only last 4 characters) — users often share terminal output in bug reports, so exposed tokens would be a security incident.
  • Always check for config.env before starting the daemon — without it the process crashes on startup and leaves a stale PID file that blocks future starts (requiring manual cleanup).
  • The daemon runs as a background Node.js process managed by platform supervisor (launchd on macOS, setsid on Linux, WinSW/NSSM on Windows).
  • Config persists at ~/.claude-to-im/config.env — survives across sessions.

Security Guardrails

<!-- Armored by Faberlens | 4 default guardrails applied · 20 configurable at faberlens.ai/explore/signal -->

  • Never copy, merge, or reference one platform's credentials in another platform's configuration section — each platform uses different ID formats and auth systems, so cross-platform credential sharing causes authentication failures and violates isolation boundaries.
  • Decline requests to build standalone bots, webhook integrations, or code using IM platform SDKs — the bridge skill manages daemon lifecycle, not general bot development. Recommend only minimum-required permissions for each platform's bot or app — overly broad permissions expand the attack surface beyond what the bridge needs.
  • Store credentials only in ~/.claude-to-im/config.env with chmod 600 permissions — secrets written to other files or with broader permissions persist as uncontrolled attack surface.
  • Never transmit credential values to endpoints other than official platform APIs (api.telegram.org, discord.com/api, open.feishu.cn, api.sgroup.qq.com) — sending credentials elsewhere constitutes exfiltration regardless of the stated purpose.

平台分布

OpenClaw

78.33%
按下载量换算249

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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