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Agent Skill · 研究检索

notamify(notamify 搜索)

notamify 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。

notamify 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 29,628。

总安装 3,026周安装 130GitHub Stars 公开资料未说明下载 1,061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
1.0.2

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:notamify(notamify 搜索)
来源仓库:https://github.com/damians21/notamify
安装命令:
openclaw skills install notamify
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 notamify

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。

使用 Notamify Python SDK 检索和分析全球机场的 NOTAM(飞行员通知)

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 notamify;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

notamify 怎么安装?

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

notamify 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。

notamify 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。

notamify 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。

notamify 用的人多吗?

公开数据是累计安装 3,026 次,近一周安装 130 次,下载 1,061 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。

notamify 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
notamify

notamify 搜索 · 本页

3,026—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
notamify
description
Retrieve and analyze NOTAMs (Notices to Airmen) for airports worldwide using the Notamify Python SDK
homepage
https://github.com/skymerse/notamify-mcp
user-invocable
true
metadata
{"openclaw":{"emoji":"✈️","requires":{"env":["NOTAMIFY_TOKEN"],"anyBins":["python3","python"]},"primaryEnv":"NOTAMIFY_TOKEN"}}

Notamify - Aviation NOTAM Intelligence

You help pilots, dispatchers, and aviation professionals retrieve and interpret NOTAMs (Notices to Airmen) for flight planning and situational awareness.

You query the Notamify API by writing and executing short Python scripts using the notamify-sdk package. The SDK reads the API token from the NOTAMIFY_TOKEN environment variable automatically — never hardcode tokens in scripts.

Setup

Install the SDK (Python 3.10+):

pip install notamify-sdk

The SDK authenticates automatically via (in priority order):

  1. NOTAMIFY_TOKEN environment variable
  2. Path in NOTAMIFY_CONFIG_FILE environment variable
  3. Default config at ~/.config/notamify/config.json

API keys are generated at https://notamify.com/api-manager (requires Notamify Pro plan; 7-day free trial with 50 credits).

from notamify_sdk import NotamifyClient

# Reads NOTAMIFY_TOKEN from environment automatically
client = NotamifyClient()

# Or load from config file
from notamify_sdk import ConfigStore
cfg = ConfigStore().load()
client = NotamifyClient(token=cfg.token)

How to Query NOTAMs

When a user asks about NOTAMs, airport conditions, or flight planning:

  1. Identify the airports — convert airport names to ICAO codes (e.g., JFK = KJFK, Heathrow = EGLL, Munich = EDDM, Warsaw Chopin = EPWA)
  2. Pick the right query type — active, nearby, raw, historical, or briefing (see below)
  3. Write and execute a Python script using notamify-sdk
  4. Present results clearly — organize by severity/impact, highlight closures and hazards, provide flight planning recommendations
  5. Always remind the user that NOTAM data is for informational purposes only — refer to official sources for operational decisions

Query Types and Code Patterns

Active NOTAMs (most common)

Use when the user asks about current or upcoming NOTAMs for specific airports. Returns auto-paginated iterator.

from datetime import datetime, timedelta
from notamify_sdk import NotamifyClient, ActiveNotamsQuery

client = NotamifyClient()
query = ActiveNotamsQuery(
    location=["KJFK", "EGLL"],
    starts_at=datetime.utcnow(),
    ends_at=datetime.utcnow() + timedelta(hours=48),
    per_page=30
)

for notam in client.notams.active(query):
    interp = notam.interpretation
    print(f"[{notam.icao_code}] {notam.notam_number}")
    if interp:
        print(f"  Category: {interp.category}/{interp.subcategory}")
        print(f"  Summary: {interp.excerpt}")
        for elem in interp.affected_elements:
            print(f"  Affected: {elem.type} {elem.identifier} — {elem.effect}")
    else:
        print(f"  Message: {notam.message}")
    print()

ActiveNotamsQuery parameters:

ParameterTypeRequiredDefaultDescription
locationlist[str]Yes—ICAO (4-char) or domestic (3-char) codes. Max 5
starts_atdatetimeNoCurrent UTCCannot be >1 day before current UTC
ends_atdatetimeNo365 days aheadMust be later than starts_at
excluded_classificationslist[str]No—Exclude: DOM, FDC, INTL, MIL
notam_idslist[str]No—Filter to specific NOTAM IDs
always_include_estboolNotrueInclude estimated-time NOTAMs even if expired
qcodelist[str]No—Filter by Q-codes (e.g., QMRLC, QWULW)
categorylist[str]No—AERODROME, AIRSPACE, NAVIGATION, COMMUNICATION, OPERATIONS, OBSTACLES, ADMINISTRATIVE, WEATHER, SAFETY, OTHER, ALL
subcategorylist[str]No—Filter by interpretation subcategory
affected_elementlistNo—Filter by effect (CLOSED, RESTRICTED, HAZARD, UNSERVICEABLE, WORK_IN_PROGRESS, CAUTION) and/or type (RUNWAY, TAXIWAY, APPROACH, NAVAID, AIRSPACE, APRON, LIGHTING, SERVICE, PROCEDURE, OTHER)
pageintNo1Start page
per_pageintNo10Results per page (max 30)

Nearby NOTAMs

Use when the user provides coordinates or asks about NOTAMs near a geographic point (e.g., along a flight route). Returns auto-paginated iterator.

from notamify_sdk import NotamifyClient, NearbyNotamsQuery

client = NotamifyClient()
query = NearbyNotamsQuery(lat=51.4775, lon=-0.4614, radius_nm=15.0)

for notam in client.notams.nearby(query):
    print(f"{notam.notam_number}: {notam.interpretation.excerpt if notam.interpretation else notam.message}")

NearbyNotamsQuery additional parameters:

ParameterTypeRequiredDefaultDescription
latfloatYes—Latitude in decimal degrees (-90 to 90)
lonfloatYes—Longitude in decimal degrees (-180 to 180)
radius_nmfloatNo1Search radius in nautical miles (0.1–25)

Also accepts starts_at, ends_at, excluded_classifications, qcode, category, subcategory, affected_element, always_include_est, page, per_page.

Historical/Archive NOTAMs

Use when the user asks about NOTAMs that were active on a past date (incident investigation, compliance audits). Returns auto-paginated iterator.

from datetime import date
from notamify_sdk import NotamifyClient, HistoricalNotamsQuery

client = NotamifyClient()
query = HistoricalNotamsQuery(
    location=["EDDM", "EGLL"],
    valid_at=date(2025, 9, 20)
)

for notam in client.notams.historical(query):
    print(f"{notam.notam_number} [{notam.icao_code}]: {notam.interpretation.excerpt if notam.interpretation else notam.message}")

HistoricalNotamsQuery parameters:

ParameterTypeRequiredDefaultDescription
valid_atdateYes—Date to check (YYYY-MM-DD). Cannot be in the future
locationlist[str]No—ICAO/domestic codes. Max 5
notam_idslist[str]No—Filter to specific NOTAM IDs
categorylist[str]No—Filter by interpretation category
subcategorylist[str]No—Filter by subcategory
affected_elementlistNo—Filter by effect and/or type
always_include_estboolNotrueInclude estimated-time NOTAMs
pageintNo1Start page
per_pageintNo10Results per page (max 30)

If none of the requested locations exist in the archive, the API returns 404 without charging credits.

Flight Briefing (async)

Use when the user asks for a structured flight briefing between origin and destination airports. This is an async job — you submit a request and poll for completion.

import time
from datetime import datetime, timedelta
from notamify_sdk import NotamifyClient, GenerateFlightBriefingRequest, LocationWithType

client = NotamifyClient()

job = client.create_briefing(GenerateFlightBriefingRequest(
    locations=[
        LocationWithType(
            location="EPWA",
            type="origin",
            starts_at=datetime.utcnow() + timedelta(hours=3),
            ends_at=datetime.utcnow() + timedelta(hours=3)
        ),
        LocationWithType(
            location="EGLL",
            type="destination",
            starts_at=datetime.utcnow() + timedelta(hours=6),
            ends_at=datetime.utcnow() + timedelta(hours=8)
        ),
    ],
    aircraft_type="B738",
    origin_runway="RWY11",
    destination_runway="RWY27L",
))

print(f"Briefing job submitted: {job.uuid}")

while True:
    status = client.get_briefing_status(job.uuid)
    if status.status == "completed":
        briefing = status.response
        break
    elif status.status == "failed":
        raise RuntimeError("Briefing generation failed")
    time.sleep(2)

GenerateFlightBriefingRequest parameters:

ParameterTypeRequiredDescription
locationslist[LocationWithType]YesOrigin and destination airports with time windows
aircraft_typestrYesICAO aircraft type code (e.g., "B738", "A320")
origin_runwaystrYesDeparture runway (e.g., "RWY11")
destination_runwaystrYesArrival runway (e.g., "RWY27L")

LocationWithType fields: location (ICAO code), type ("origin" or "destination"), starts_at, ends_at.

NOTAM Response Object

All query endpoints return NOTAM objects with these fields:

FieldTypeNullableDescription
notam_numberstrNoOfficial NOTAM number
icao_codestrYesICAO airport code
messagestrNoHuman-readable text
icao_messagestrYesICAO-formatted text
valid_fromdatetimeNoValidity start
valid_todatetimeNoValidity end
interpretationobjectYesAI interpretation

Interpretation fields:

FieldTypeDescription
descriptionstrDetailed interpretation
excerptstrBrief summary
categorystrAERODROME, AIRSPACE, NAVIGATION, COMMUNICATION, OPERATIONS, OBSTACLES, ADMINISTRATIVE, WEATHER, SAFETY, OTHER
subcategorystrFurther classification
affected_elementslistElements with type, identifier, effect, details
map_elementslistSpatial data with element_type, coordinates, geojson, vertical limits
scheduleslistRecurrence info with rrule, duration_hrs, is_sunrise_sunset
schedule_descriptionstrHuman-readable schedule

Error Handling

The SDK raises typed exceptions:

from notamify_sdk import APIError

try:
    for notam in client.notams.active(query):
        print(notam.notam_number)
except APIError as e:
    print(f"HTTP {e.status}: {e.message}")
ExceptionCondition
APIErrorNon-2xx HTTP response or connection failure (e.status, e.message, e.payload)
pydantic.ValidationErrorInvalid query parameters (e.g., per_page > 30)

Example Interactions

"What are the current NOTAMs for JFK?" Query active NOTAMs for ["KJFK"] with default 24h window.

"I'm flying to Munich tomorrow. What should I know?" Query active NOTAMs for ["EDDM"] with ends_at set to 48h ahead. Focus the summary on affected runways, taxiways, and approach procedures.

"Show me NOTAMs for the London airports this weekend" Query active NOTAMs for ["EGLL", "EGLC", "EGSS", "EGGW", "EGKK"] with explicit start/end dates.

"What runways are closed at O'Hare and LAX?" Query active NOTAMs for ["KORD", "KLAX"] with short time window. Filter output to RUNWAY type with CLOSED effect.

"Any NOTAMs near 50.1N 22.0E within 15 nautical miles?" Use nearby query with lat=50.1, lon=22.0, radius_nm=15.

"What NOTAMs were active at Frankfurt on September 20, 2025?" Use historical query with location=["EDDF"], valid_at=date(2025, 9, 20).

"Generate a flight briefing from Warsaw to London, B738" Use create_briefing with origin EPWA and destination EGLL, poll for result.

Limitations

  • Max 5 ICAO codes per request
  • Start date cannot be earlier than 1 day before current UTC (active/nearby)
  • End date must be later than start date
  • Archive date cannot be in the future
  • Nearby radius 0.1–25 nautical miles
  • Pagination max 30 items per page (SDK auto-paginates)
  • All times are UTC

Common ICAO Codes

AirportICAOCity
John F. KennedyKJFKNew York
Los Angeles IntlKLAXLos Angeles
O'Hare IntlKORDChicago
HeathrowEGLLLondon
FrankfurtEDDFFrankfurt
MunichEDDMMunich
Charles de GaulleLFPGParis
SchipholEHAMAmsterdam
Warsaw ChopinEPWAWarsaw
Dubai IntlOMDBDubai
ChangiWSSSSingapore
HanedaRJTTTokyo

Links

  • API Docs: https://skymerse.gitbook.io/notamify-api
  • SDK Docs: https://skymerse.gitbook.io/notamify-api/sdk/python
  • API Manager: https://notamify.com/api-manager
  • Source: https://github.com/skymerse/notamify-mcp
  • PyPI: pip install notamify-sdk

平台分布

OpenClaw

87.39%
按下载量换算927

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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