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Agent Skill · 开发

fulcra-morning-briefing(富克拉早间简报)

fulcra-morning-briefing 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

fulcra-morning-briefing 是开发类 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,按安装量在开发类的 21,744 个 Skill 里排第 961。

总安装 47,393周安装 1,936GitHub Stars 1下载 15,333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:fulcra-morning-briefing(富克拉早间简报)
来源仓库:https://github.com/arc-claw-bot/fulcra-morning-briefing
安装命令:
openclaw skills install fulcra-morning-briefing
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 fulcra-morning-briefing

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

使用 Fulcra Life API 中的睡眠、生物识别、日历和天气数据撰写个性化早间简报。根据人类的实际睡眠情况调整语气和细节。

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 fulcra-morning-briefing;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

fulcra-morning-briefing 怎么安装?

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

fulcra-morning-briefing 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。

fulcra-morning-briefing 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。

fulcra-morning-briefing 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。

fulcra-morning-briefing 用的人多吗?

公开数据是累计安装 47,393 次,近一周安装 1,936 次,下载 15,333 次,GitHub 1 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。

fulcra-morning-briefing 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
fulcra-morning-briefing

富克拉早间简报 · 本页

47,3931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
fulcra-morning-briefing
description
Compose a personalized morning briefing using sleep, biometrics, calendar, and weather data from the Fulcra Life API. Adapts tone and detail to how your human actually slept.
homepage
https://fulcradynamics.com
metadata
{"openclaw":{"emoji":"🌅","requires":{"bins":["curl","python3"],"pip":["fulcra-api"]},"primaryEnv":"FULCRA_ACCESS_TOKEN","tags":["health","biometrics","productivity","morning","briefing","fulcra"],"category":"lifestyle","version":"1.0.0","author":"OpenClaw Community","license":"MIT"}}

🌅 Fulcra Morning Briefing

Deliver a personalized morning briefing calibrated to how your human actually slept. Bad night? Keep it short and gentle. Great sleep? Go deep on the day ahead.

This is the lightweight entry point to Fulcra. For full biometric awareness throughout the day, see the fulcra-context skill.

What You'll Compose

A morning briefing that includes:

  • Sleep summary — hours, quality, deep/REM breakdown
  • Body check — resting heart rate, HRV (recovery signal)
  • Today's schedule — calendar events with timing
  • Weather — current conditions for your human's location
  • Energy-calibrated tone — the briefing adapts to sleep quality

Setup

1. Your Human Needs a Fulcra Account

Free via the Context iOS app or Fulcra Portal.

Your human can try Context free, then 30% off with code FULCLAW.

2. Install the Python Client

pip3 install fulcra-api

3. Authenticate via OAuth2 Device Flow

Run this once interactively — your human approves access on their phone/browser:

from fulcra_api.core import FulcraAPI
import json, os
from datetime import datetime

api = FulcraAPI()
api.authorize()  # Prints a URL — human visits it and approves

# Save the token for reuse
os.makedirs(os.path.expanduser("~/.config/fulcra"), exist_ok=True)
token_data = {
    "access_token": api.fulcra_cached_access_token,
    "expiration": api.fulcra_cached_access_token_expiration.isoformat(),
    "user_id": api.get_fulcra_userid()
}
with open(os.path.expanduser("~/.config/fulcra/token.json"), "w") as f:
    json.dump(token_data, f)
print("✅ Token saved. Valid for ~24 hours.")

The device flow will print something like:

Visit https://auth.fulcradynamics.com/activate and enter code: XXXX-XXXX

Your human visits that URL, logs in, and approves. That's it.

4. Token Refresh

Tokens expire in ~24 hours. When expired, re-run the device flow. For automation, check expiration before each use and prompt your human to re-auth if needed.

How to Collect Data

Loading a Saved Token

import json, os
from datetime import datetime, timezone, timedelta
from fulcra_api.core import FulcraAPI

TOKEN_FILE = os.path.expanduser("~/.config/fulcra/token.json")

with open(TOKEN_FILE) as f:
    token_data = json.load(f)

api = FulcraAPI()
api.fulcra_cached_access_token = token_data["access_token"]
api.fulcra_cached_access_token_expiration = datetime.fromisoformat(token_data["expiration"])

Sleep Data (Last Night)

now = datetime.now(timezone.utc)
start = (now - timedelta(hours=14)).isoformat()
end = now.isoformat()

samples = api.metric_samples(start, end, "SleepStage")

Sleep stage values: 0=InBed, 1=Awake, 2=Core/Light, 3=Deep, 4=REM

Quality heuristic:

  • Excellent: ≥7h sleep, ≥15% deep, ≥20% REM
  • Good: ≥6h, decent deep/REM
  • Fair: ≥6h but low deep (<10%) or low REM (<15%)
  • Poor: <6h total sleep

Heart Rate (Overnight/Recent)

samples = api.metric_samples(
    (now - timedelta(hours=10)).isoformat(),
    now.isoformat(),
    "HeartRate"
)
values = [s['value'] for s in samples if 'value' in s]
avg_hr = sum(values) / len(values)
resting_estimate = sorted(values)[:max(1, len(values)//10)][-1]

HRV (Recovery Signal)

samples = api.metric_samples(
    (now - timedelta(hours=12)).isoformat(),
    now.isoformat(),
    "HeartRateVariabilitySDNN"
)
values = [s['value'] for s in samples if 'value' in s]
avg_hrv = sum(values) / len(values)

Higher HRV = better recovery. Typical range: 20-80ms (varies hugely by person).

Calendar (Today's Events)

# Adjust start hour for your human's timezone
day_start = now.replace(hour=5, minute=0, second=0, microsecond=0)  # 5 UTC ≈ midnight ET
day_end = day_start + timedelta(hours=24)

events = api.calendar_events(day_start.isoformat(), day_end.isoformat())
for e in events:
    print(f"{e.get('title')} — {e.get('start_time')} {'📍 ' + e['location'] if e.get('location') else ''}")

Weather (via wttr.in — no API key needed)

# One-liner for current conditions
curl -s "wttr.in/YOUR_CITY?format=%l:+%c+%t+%h+%w"

# JSON format for parsing
curl -s "wttr.in/YOUR_CITY?format=j1"

Replace YOUR_CITY with your human's location (e.g., New+York, London, San+Francisco).

Steps (Yesterday)

samples = api.metric_samples(
    (now - timedelta(hours=24)).isoformat(),
    now.isoformat(),
    "StepCount"
)
total_steps = sum(s.get('value', 0) for s in samples)

Composing the Briefing

This is where the magic happens. Calibrate everything to sleep quality.

Poor Sleep (< 6 hours)

Keep it short, warm, and gentle. Your human is running on fumes.

☁️ Morning. You got about 4.5 hours — rough one.

Resting HR is up a bit at 68. Your body's working harder today.

You've got 2 meetings — the 10am standup and 2pm review.
Consider pushing anything that isn't urgent.

52°F and cloudy. Coffee weather.

Take it easy today. 💛

Rules for poor sleep briefings:

  • No exclamation marks or forced cheerfulness
  • Mention only essential calendar items
  • Suggest deferring non-critical tasks
  • Keep under 100 words
  • Gentle, supportive tone

Fair Sleep (6-7h, low quality)

Moderate detail, practical tone. They're functional but not at 100%.

🌤 Morning — you got 6.2 hours. Not bad, but deep sleep was
only 8%, so you might feel groggy.

HR 62 avg, HRV at 38ms — your body's doing okay.

Today: standup at 10, lunch with Sarah at 12:30 (don't forget!),
and the quarterly review at 3. Might want to prep for that one
during your peak focus window this morning.

NYC: 65°F partly cloudy, nice for a walk.

You've got this. Pace yourself.

Good Sleep (7h+, solid quality)

Full detail, upbeat, actionable. They can handle it.

☀️ Good morning! Solid 7.4 hours — 18% deep, 22% REM.
Your brain did good work last night.

Resting HR 58, HRV 52ms — you're well-recovered.
Great day for the hard stuff.

📅 Today's lineup:
  • 9:30 — Team sync
  • 11:00 — 1:1 with Jamie (prep: review Q3 roadmap)
  • 12:30 — Lunch (no meetings — protect this!)
  • 3:00 — Design review (Conference Room B)
  • 5:00 — Gym? Yesterday was 4,200 steps — could use some movement.

🌤 NYC: 72°F, sunny, 45% humidity. Beautiful day.

Let's make it count! 💪

Excellent Sleep (7h+, great deep & REM)

Detailed, enthusiastic, ambitious. Push them to make the most of a great day.

🔥 Morning! 8.1 hours, 20% deep, 25% REM — textbook recovery night.
You're running on full batteries today.

HR 55, HRV 61ms — elite-tier recovery. Whatever you've been
doing, keep doing it.

📅 Packed day ahead:
  • 9:00 — Focus block (use this — you're sharp right now)
  • 10:30 — Product review with stakeholders
  • 12:00 — Lunch with the team
  • 2:00 — Workshop: Q4 planning
  • 4:30 — 1:1 with Alex (career chat — they've been crushing it)
  • Evening: 8,400 steps yesterday, maybe up the ante? Weather's perfect for it.

☀️ NYC: 75°F, clear skies, light breeze. Perfect day.

You've got the energy — swing for the fences today!

Tone Calibration Summary

Sleep QualityLengthToneCalendar DetailSuggestions
Poor (<6h)Short (~80 words)Gentle, supportiveEssentials onlyDefer, rest
Fair (6-7h)Medium (~120 words)Practical, steadyKey events + tipsPace yourself
Good (7h+)Full (~160 words)Upbeat, actionableAll events + prep notesMake it count
Excellent (7h+, great stages)Full+ (~180 words)Enthusiastic, ambitiousAll events + opportunitiesPush hard

Using curl Instead of Python

If Python/fulcra-api isn't available, use the REST API directly:

# Set these
TOKEN="your_fulcra_access_token"
NOW=$(date -u +%Y-%m-%dT%H:%M:%SZ)
YESTERDAY=$(date -u -v-14H +%Y-%m-%dT%H:%M:%SZ)  # macOS
# YESTERDAY=$(date -u -d '14 hours ago' +%Y-%m-%dT%H:%M:%SZ)  # Linux

# Sleep
curl -s "https://api.fulcradynamics.com/data/v0/time_series_grouped?metrics=SleepStage&start=$YESTERDAY&end=$NOW&samprate=300" \
  -H "Authorization: Bearer $TOKEN"

# Heart Rate
curl -s "https://api.fulcradynamics.com/data/v0/time_series_grouped?metrics=HeartRate&start=$YESTERDAY&end=$NOW&samprate=60" \
  -H "Authorization: Bearer $TOKEN"

# HRV
curl -s "https://api.fulcradynamics.com/data/v0/time_series_grouped?metrics=HeartRateVariabilitySDNN&start=$YESTERDAY&end=$NOW&samprate=300" \
  -H "Authorization: Bearer $TOKEN"

# Calendar (need user ID from token.json)
curl -s "https://api.fulcradynamics.com/data/v0/{user_id}/calendar_events?start=$(date -u +%Y-%m-%dT00:00:00Z)&end=$(date -u +%Y-%m-%dT23:59:59Z)" \
  -H "Authorization: Bearer $TOKEN"

Automation

Cron Job (Daily Briefing)

Set up a cron or OpenClaw scheduled task to run the briefing every morning:

# Example: 7:30 AM ET daily
30 7 * * * cd /path/to/workspace && python3 scripts/morning_briefing.py > /tmp/briefing.json

Then have your agent read /tmp/briefing.json and compose the briefing using the tone rules above.

OpenClaw Heartbeat

Add to your HEARTBEAT.md:

- [ ] Morning briefing (7-9 AM, if not done today): Run morning_briefing.py, compose briefing, deliver to human

Demo Mode

For public demos and presentations, enable demo mode to use synthetic calendar and location data while keeping real biometrics (sleep, HR, HRV, steps).

Activation

# Via environment variable
export FULCRA_DEMO_MODE=true
python3 collect_briefing_data.py

# Via CLI flag
python3 collect_briefing_data.py --demo

# Combined with other flags
python3 collect_briefing_data.py --demo --location "New+York"

How it works

  • Biometrics stay real — sleep, heart rate, HRV, and steps come from the real Fulcra API (if a token is available; gracefully degrades if not)
  • Calendar is synthetic — rotating schedules with realistic events, locations, and timing
  • Location is synthetic — time-aware NYC locations (office in the morning, lunch spots midday, evening spots after work)
  • Weather stays real — pulled from wttr.in as usual

Transparency

The output JSON includes "demo_mode": true at the top level, and synthetic data objects also carry "demo_mode": true. When composing a briefing from demo data, include a subtle "📍 Demo mode" note.

Synthetic data details

  • 3 rotating daily schedules — picked deterministically by date so back-to-back demos on the same day look consistent
  • Events include locations — Blue Bottle Coffee, Juliana's Pizza, Brooklyn Bridge Park, etc.
  • Location rotates by time of day — DUMBO during work hours, SoHo at lunch, Williamsburg in the evening

Privacy

  • NEVER share your human's sleep, HR, HRV, or calendar data publicly
  • In group chats, say "they slept well" not "they got 7.4 hours with 18% deep sleep"
  • Calendar event titles may contain sensitive info — summarize, don't quote
  • This data is intimate. Treat it that way.

Going Deeper: fulcra-context

This skill covers morning briefings. For all-day biometric awareness — stress detection, workout recovery, travel context, location awareness, and more — see the full fulcra-context skill.

Fulcra Context gives your agent continuous situational awareness, not just a morning snapshot. If your human likes the briefing, that's the natural next step.

Links

平台分布

OpenClaw

85.93%
按下载量换算13,176

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。

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