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signal-hardened信号硬化

Agent Skill

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。

总安装

908

周安装

39

GitHub Stars

公开资料未说明

下载量

318
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: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

简介

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。

SKILL.md

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 CodeAskUserQuestion tool is available. Use it for interactive setup wizards.
  2. Codex / otherAskUserQuestion 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.

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

78.33%
按下载量换算249

安全审计

VirusTotal

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通过

Static analysis

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权限和风险

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

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来源信息

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