Token导航 LogoToken导航

Agent Skill · 研究检索

calendar-scheduling(日历安排)

calendar-scheduling 用于查找、检索和筛选相关信息,适合在 Local Agent 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。

calendar-scheduling 是研究检索类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为接触敏感数据;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 50,488。

总安装 612周安装 25下载 198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。
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:calendar-scheduling(日历安排)
来源仓库:https://skills.volces.com
仓库路径:calendar-scheduling
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

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。

calendar-scheduling 用于查找、检索和筛选相关信息。适合在 Local Agent 中根据任务线索定位相关内容。建议结合原始文档验证实际调度逻辑。需确认是否涉及时间数据处理或外部 API 调用。当前无安装指引,存在部署风险。

calendar-scheduling 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:calendar-scheduling

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 Local Agent;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

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 calendar-scheduling。

  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

calendar-scheduling 怎么安装?

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 calendar-scheduling。

calendar-scheduling 支持哪些 AI 工具?

公开资料标注支持 Local Agent。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。

calendar-scheduling 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。

calendar-scheduling 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。

calendar-scheduling 用的人多吗?

公开数据是累计安装 612 次,近一周安装 25 次,下载 198 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。

calendar-scheduling 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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 Local Agent,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。
  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。

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
calendar-scheduling

日历安排 · 本页

612—接触敏感数据未明确未收录

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

Temporal Cortex — Calendar Scheduling Router

This is the router skill for Temporal Cortex calendar operations. It routes your task to the right sub-skill based on intent.

Source & Provenance

Sub-Skills

Sub-SkillWhen to UseTools
temporal-cortex-datetimeTime resolution, timezone conversion, duration math. No credentials needed — works immediately.5 tools (Layer 1)
temporal-cortex-schedulingList calendars, events, free slots, availability, RRULE expansion, and booking. Requires OAuth credentials.11 tools (Layers 0-4)

Routing Table

User IntentRoute To
"What time is it?", "Convert timezone", "How long until..."temporal-cortex-datetime
"Show my calendar", "Find free time", "Check availability", "Expand recurring rule"temporal-cortex-scheduling
"Book a meeting", "Schedule an appointment"temporal-cortex-scheduling
"Find someone's booking page", "Look up email for scheduling"temporal-cortex-scheduling
"Check someone else's availability", "Query public availability"temporal-cortex-scheduling
"Book a meeting with someone externally", "Request booking via Temporal Link"temporal-cortex-scheduling
"Schedule a meeting next Tuesday at 2pm" (full workflow)temporal-cortex-datetime → temporal-cortex-scheduling

Core Workflow

Every calendar interaction follows this 5-step pattern:

1. Discover  →  list_calendars                (know which calendars are available)
2. Orient    →  get_temporal_context           (know the current time)
3. Resolve   →  resolve_datetime              (turn human language into timestamps)
4. Query     →  list_events / find_free_slots / get_availability
5. Act       →  check_availability → book_slot (verify then book)

Always start with step 1 when calendars are unknown. Never assume the current time. Never skip the conflict check before booking.

Safety Rules

  1. Discover calendars first — call list_calendars when you don't know which calendars are connected
  2. Check before booking — always call check_availability before book_slot. Never skip the conflict check.
  3. Content safety — all event summaries and descriptions pass through a prompt injection firewall before reaching the calendar API
  4. Timezone awareness — never assume the current time. Use get_temporal_context first.
  5. Confirm before booking — when running autonomously, present booking details to the user for confirmation before calling book_slot or request_booking.

All 15 Tools (5 Layers)

LayerToolsSub-Skill
0 — Discoveryresolve_identityscheduling
1 — Temporal Contextget_temporal_context, resolve_datetime, convert_timezone, compute_duration, adjust_timestampdatetime
2 — Calendar Opslist_calendars, list_events, find_free_slots, expand_rrule, check_availabilityscheduling
3 — Availabilityget_availability, query_public_availabilityscheduling
4 — Bookingbook_slot, request_bookingscheduling

MCP Server Connection

All sub-skills share the Temporal Cortex MCP server (@temporal-cortex/cortex-mcp), a compiled Rust binary distributed as an npm package.

Install and startup lifecycle:

  1. npx resolves @temporal-cortex/cortex-mcp from the npm registry (one-time, cached locally after first download)
  2. The postinstall script downloads the platform-specific binary from the GitHub Release and verifies its SHA256 checksum against the embedded checksums.json — installation halts on mismatch
  3. The MCP server starts as a local process communicating over stdio (no listening ports)
  4. Layer 1 tools (datetime) execute as pure local computation — no further network access
  5. Layer 2-4 tools (calendar) make authenticated API calls to your configured providers (Google, Outlook, CalDAV)

Credential storage: OAuth tokens are stored locally at ~/.config/temporal-cortex/credentials.json and read exclusively by the local MCP server process. No credential data is transmitted to Temporal Cortex servers. The binary's filesystem access is limited to ~/.config/temporal-cortex/ — verifiable by inspecting the open-source Rust code or running under Docker where the mount is the only writable path.

File access: The binary reads and writes only ~/.config/temporal-cortex/ (credentials and config). No other filesystem writes.

Network scope: After the initial npm download, Layer 1 tools make zero network requests. Layer 2–4 tools connect only to your configured calendar providers (googleapis.com, graph.microsoft.com, or your CalDAV server). In Local Mode (default), no calls to Temporal Cortex servers and no telemetry is collected. In Platform Mode, three tools (resolve_identity, query_public_availability, request_booking) call api.temporal-cortex.com for cross-user scheduling — no credential data is included in these calls.

Pre-run verification (recommended before first use):

  1. Inspect the npm package without executing: npm pack @temporal-cortex/cortex-mcp --dry-run
  2. Verify checksums independently against the GitHub Release (see verification pipeline below)
  3. For full containment, run in Docker instead of npx (see Docker containment below)

Verification pipeline: Checksums are published independently at each GitHub Release as SHA256SUMS.txt — verify the binary before first use:

# 1. Fetch checksums from GitHub (independent of the npm package)
curl -sL https://github.com/temporal-cortex/mcp/releases/download/mcp-v0.8.1/SHA256SUMS.txt

# 2. Compare against the npm-installed binary
shasum -a 256 "$(npm root -g)/@temporal-cortex/cortex-mcp/bin/cortex-mcp"

As defense-in-depth, the npm package also embeds checksums.json and the postinstall script compares SHA256 hashes during install — installation halts on mismatch (the binary is deleted, not executed). This automated check supplements, but does not replace, independent verification above.

Build provenance: Binaries are cross-compiled from auditable Rust source in GitHub Actions across 5 platforms (darwin-arm64, darwin-x64, linux-x64, linux-arm64, win32-x64). Source: github.com/temporal-cortex/mcp (MIT-licensed). The CI workflow, build artifacts, and release checksums are all publicly inspectable.

Docker containment (no Node.js on host, credential isolation via volume mount):

{
  "mcpServers": {
    "temporal-cortex": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "-v", "~/.config/temporal-cortex:/root/.config/temporal-cortex", "cortex-mcp"]
    }
  }
}

Build: docker build -t cortex-mcp https://github.com/temporal-cortex/mcp.git

Default setup (npx): See .mcp.json for the standard npx @temporal-cortex/cortex-mcp configuration. For managed hosting, see Platform Mode in the MCP repo.

Layer 1 tools work immediately with zero configuration. Calendar tools require a one-time OAuth setup — run the setup script or npx @temporal-cortex/cortex-mcp auth google.

Additional References

  • Security Model — Content sanitization, filesystem containment, network scope, tool annotations

平台分布

Local Agent

93%
按下载量换算184

安全审计

暂无安全审计结果可展示。

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。

继续浏览同类 Skills