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Agent Skill · 研究检索

heartbeat-cron(心跳计划)

heartbeat-cron 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

heartbeat-cron 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,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 38,652。

总安装 1,529周安装 65GitHub Stars 27下载 536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
unknown

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:heartbeat-cron(心跳计划)
来源仓库:https://github.com/t0dorakis/murmur
仓库路径:skills/heartbeat-cron
安装命令:
npx skills add https://github.com/t0dorakis/murmur --skill heartbeat-cron
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/t0dorakis/murmur --skill heartbeat-cron

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。

心跳计划用于查找、检索和筛选相关信息,适合周期性任务调度场景。它可根据预设条件触发信息收集或状态检查,提升自动化效率。通过 npx skills add 从指定仓库安装,具体执行逻辑需结合原始文档理解。安装时应注意其是否具备网络访问能力或文件操作权限。

heartbeat-cron 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/heartbeat-cron

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/t0dorakis/murmur --skill heartbeat-cron;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

    它需要操作浏览器,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

heartbeat-cron 怎么安装?

在终端执行 npx skills add https://github.com/t0dorakis/murmur --skill heartbeat-cron。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

heartbeat-cron 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

heartbeat-cron 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

heartbeat-cron 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

heartbeat-cron 用的人多吗?

公开数据是累计安装 1,529 次,近一周安装 65 次,下载 536 次,GitHub 27 星。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。

heartbeat-cron 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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

  • 需要明确授权才能用到公司项目里的场景。
  • 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
heartbeat-cron

心跳计划 · 本页

1,52927操作浏览器未明确有提醒

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

Heartbeat Creator

Create well-crafted HEARTBEAT.md files for murmur through a structured interview, test run, and refinement loop.

Context

Murmur is a minimal scheduler. It reads a HEARTBEAT.md file, sends its contents to Claude on a schedule, and classifies the response:

  • HEARTBEAT_OK — nothing to report (silent)
  • ATTENTION:... — needs human attention (logged + surfaced in TUI)

Murmur cannot notify the user. It only runs the prompt and logs the result. If the user wants notifications (Slack, Telegram, push), the HEARTBEAT.md itself must include the delivery step. The heartbeat is the entire pipeline: gather data → decide → act → deliver.

Each heartbeat is stateless. Every run is a fresh Claude session with no memory of previous runs. For workflows that need to track changes over time (price deltas, last-checked timestamps), use files in the workspace as simple state stores (e.g., last-price.txt, tracking-state.json).

Sleep/wake behavior. When the machine sleeps, the daemon freezes — no ticks fire. On wake, overdue jobs run immediately but multiple missed runs collapse into a single catch-up execution (not one per missed interval). This is correct for heartbeat-style tasks: you want to check current state, not replay missed checks. If the user needs reliable scheduling, advise them to disable sleep on their machine (see FAQ in README).

HEARTBEAT.md Format

Every heartbeat is a markdown file with an optional YAML frontmatter block. Frontmatter values take precedence over config.json.

---
interval: 1h # or cron: "0 9 * * 1-5" (pick one)
# tz: America/New_York  # timezone for cron (default: local system tz)
# timeout: 15m          # max run time (default: 5m)
# agent: claude-code    # "claude-code" (default), "codex", or "pi"
# model: opus           # model hint passed to the agent
# maxTurns: 50          # cap agent iterations per run (default: 99)
# name: My Heartbeat
# description: What this heartbeat does
# session: my-session   # pi-specific: reuse a named browser session
# sandbox: workspace-write  # codex-specific: "read-only", "workspace-write", or "danger-full-access"
# networkAccess: false  # codex-specific: allow outbound network in workspace-write sandbox
# permissions: skip      # skip permission checks (only "skip" supported in frontmatter)
---
Your prompt here...

Notes:

  • interval or cron — use one, not both. Intervals: 15m, 1h, 6h, 1d. Cron: standard 5-field expressions.
  • permissions: "skip" is the only permissions value supported in frontmatter. For deny lists, use config.json.
  • murmur init generates a template with these fields pre-filled.

Workflow

0. Preflight

Before starting, verify murmur is installed:

which murmur
  • Found → continue to interview.
  • Not found → install via Homebrew: brew install t0dorakis/murmur/murmur If Homebrew isn't available, install from source: git clone https://github.com/t0dorakis/murmur.git cd murmur && bun install && bun run build # Then add./murmur to PATH

You can also scaffold a workspace immediately with flags:

murmur init {path} --interval 30m
murmur init {path} --cron "0 9 * * 1-5" --timeout 15m
murmur init {path} --template github-digest   # Use a starter template

Multiple heartbeats per repo — Use --name to create heartbeats in a heartbeats/ directory:

murmur init {path} --name issue-worker --interval 30m
murmur init {path} --name deploy-monitor --cron "0 9 * * 1-5"

This creates heartbeats/<name>/HEARTBEAT.md inside the workspace. All heartbeats share the repo root as CWD. A root HEARTBEAT.md still works alongside named heartbeats.

1. Interview

Conduct a focused interview using AskUserQuestion. Go one or two questions at a time, building on previous answers.

Round 1 — The goal:

Ask what they want automated. If they're unsure or exploring, read references/examples.md for inspiration across categories: code/repos, research/intelligence, ops/infrastructure, personal/creative. Suggest examples that match their context.

Round 1b — Tool discovery:

Before diving into details, check whether the user's goal needs tools beyond what's already installed. Run a web search to find relevant CLIs, MCP servers, or agent skills that could help.

Browser tools — Many valuable heartbeats need to interact with real websites (checking prices, monitoring pages, logging into portals). Claude's built-in WebFetch works for simple static pages, but sites with JavaScript rendering, login flows, or anti-bot measures need a real browser:

  • agent-browser — Headless browser CLI for AI agents. Works with Claude Code out of the box.
  • pi-browser — Browser extension for pi. Use with agent: pi.

Other tools — Search the web for: "{user's goal}" CLI tool or "{user's goal}" MCP server or check skills.sh for community skills. Examples:

  • Calendar access → Google Calendar MCP or pi-google-calendar extension
  • Slack/Discord delivery → webhook skills on skills.sh
  • GitHub operations → ensure gh CLI is installed

Tell the user what you found and recommend installing anything that would make the heartbeat more capable.

Round 2 — The details:

Based on their goal, dig into specifics:

  • What tools/APIs/commands are needed? (gh, curl, specific URLs, API keys)
  • What's the workspace directory?
  • How often should it run? Two options:

- Interval — fixed frequency: 15m, 1h, 6h, 1d - Cron — precise schedule: 0 9 * * 1-5 (weekdays at 9am), */30 * * * * (every 30 min) - If they pick cron, ask about timezone (defaults to local system tz)

  • Does the heartbeat need more than the default 5-minute timeout? (e.g., timeout: 15m for long-running tasks)
  • Any model preference? (default uses whatever the agent defaults to; can set model: opus, model: sonnet, etc.)
  • Agent choice: claude-code (default) runs Claude Code CLI; codex runs OpenAI Codex CLI (uses sandbox policies); pi runs the pi agent (has browser extensions)

Round 3 — Delivery:

This is critical. Ask how they want results delivered. Options:

  • Write to a file in the workspace (simplest — good default)
  • Post to Slack/Discord via webhook
  • Send via Telegram bot API
  • Create a GitHub issue/comment
  • Push notification via ntfy.sh
  • Just use ATTENTION response (user checks TUI/logs)

Remind them: murmur is just a scheduler — it won't forward anything. If they want to be notified, the heartbeat itself must do the notifying.

Round 3b — Credentials (if needed):

If delivery or data sources need tokens/webhooks:

  • Env vars from .env in the workspace are available (Bun auto-loads them)
  • Sensitive values should go in .env, referenced as $VAR_NAME in the heartbeat

2. Draft

Write the HEARTBEAT.md file. Rules:

  • Include a YAML frontmatter block with at least the schedule (interval or cron). Add timeout, model, or other fields as needed based on the interview.
  • Don't include instructions about HEARTBEAT_OK / ATTENTION — the runtime injects those automatically
  • Be explicit about every step — Claude has no memory between heartbeats
  • For change-detection workflows (price drops, new items, status changes), include steps to read/write state files in the workspace (e.g., last-price.txt, tracking-state.json)
  • Include exact commands with real values (no {placeholder} left behind)
  • Include the delivery step if the user wants notifications
  • Keep it focused — one purpose per heartbeat
  • Use $VAR_NAME for secrets

Place the file at {workspace}/HEARTBEAT.md for single-heartbeat workspaces, or {workspace}/heartbeats/{name}/HEARTBEAT.md for multi-heartbeat repos.

3. Test

Run one heartbeat to verify:

murmur beat {workspace_path}
# Or for a named heartbeat:
murmur beat {workspace_path} --name {name}

Show the user the outcome and output.

4. Evaluate

Ask the user: "Did that do what you expected?"

  • No → refine the HEARTBEAT.md based on feedback, test again. Repeat until satisfied.
  • Yes → proceed to register.

5. Register

Register the workspace with murmur so the daemon knows about it:

  1. Run murmur init {absolute_workspace_path} — this auto-registers the workspace in ~/.murmur/config.json (with {path, lastRun: null}). If HEARTBEAT.md already exists, it skips creating it but still registers.
  2. Verify registration: murmur workspaces list
  3. Schedule, timeout, model, and other settings live in the HEARTBEAT.md frontmatter — no need to edit config.json for these.
  4. Only edit ~/.murmur/config.json directly if you need a permissions.deny list (frontmatter only supports permissions: skip).
  5. Tell the user to start the daemon:

- murmur start — foreground with TUI (press q to quit, d to detach) - murmur start --detach — background mode (reattach with murmur watch)

Rules

  • Never leave {placeholder} values in the final HEARTBEAT.md
  • Always test with murmur beat before declaring done
  • Always ask the user to evaluate the test result
  • If a heartbeat needs tools the user doesn't have installed, tell them what to install
  • One heartbeat = one purpose. Multiple automations in the same repo = use heartbeats/ directory with --name.
  • Schedule suggestions: 15m for uptime, 1h for active dev work, 6h–1d for digests/research. Use cron when the user wants specific times (e.g., 0 9 * * 1-5 for weekday mornings).

平台分布

Codex

35.57%
按下载量换算191

Claude

28.17%
按下载量换算151

Cursor

19.2%
按下载量换算103

Gemini CLI

7.9%
按下载量换算42

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。

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