Token导航 LogoToken导航

Agent Skill · 研究检索

film-location-scout(电影外景地侦察)

film-location-scout 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。

film-location-scout 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;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 30,240。

总安装 2,913周安装 119GitHub Stars 公开资料未说明下载 942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:film-location-scout(电影外景地侦察)
来源仓库:https://github.com/kensonh/film-location-scout
安装命令:
openclaw skills install film-location-scout
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 film-location-scout

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。

根据用户当前位置推荐附近影视剧拍摄地,提供场景描述与地理参考。适合旅游规划、影视爱好者实地探访或内容创作寻找取景灵感时使用。输出包含电影名称、年份、导演等元数据的独立案例,增强地点关联性。地理位置精度依赖用户授权位置服务,结果可能受 API 覆盖范围限制。数据来源为公开影视数据库,未经验证的历史信息可能存在偏差。

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 film-location-scout;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

    它需要需要联网,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

film-location-scout 怎么安装?

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

film-location-scout 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。

film-location-scout 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

film-location-scout 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。

film-location-scout 用的人多吗?

公开数据是累计安装 2,913 次,近一周安装 119 次,下载 942 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。

film-location-scout 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

  • 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

  • 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
film-location-scout

电影外景地侦察 · 本页

2,913—需要联网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
film-location-scout
version
1.0.0
description
>-
author
Qoder
license
MIT
tags

Film Location Scout

Discover 5 nearby film/TV shooting locations. Each case is self-contained: cinematic scene image with 1-2 prominent characters in the foreground (perfect for photo recreation) + precise location + photography parameters.

Trigger

User invokes /film-location-scout or asks naturally:

  • "帮我找附近的电影取景地"
  • "推荐一些可以拍照的电影场景地点"
  • "附近有什么电影拍摄地"
  • "film locations near me"
  • "movie shooting spots nearby"

Workflow

Step 1: Get User Location (IP + confirm)
        |
Step 2: Get Weather & Light Conditions
        |
Step 3: Find 5 Filming Locations within 5km (each as a complete case)
        |
        For each of the 5 cases:
          3a. Location + precise coordinates
          3b. Film scene description
          3c. Per-location photography parameters
          3d. Generate cinematic scene image (with 1-2 prominent characters in foreground)
        |
Step 4: Output all 5 cases

Step 1: Get User Location

Phase A - IP auto-detect:

Use WebFetch to query: https://ipinfo.io/json

Extract: city, region, country, loc (lat,lon).

Phase B - User confirmation:

Use AskUserQuestion:

"Detected you are in {city}. Is that correct? Please also provide your specific location (landmark, intersection, or address) for precise nearby search."

Store:

  • city_name: city name (Chinese + English)
  • user_lat, user_lon: 6 decimal places precision (e.g., 31.230416, 121.473701)

Step 2: Get Weather & Light Conditions

Use WebSearch: "{city_name}" weather now temperature humidity

Record:

  • weather: condition (sunny/cloudy/rainy/foggy/snowy/night)
  • temperature: current temp
  • humidity, wind, visibility
  • time_of_day: calculate from current local time -> golden hour / blue hour / midday / overcast / night
  • sun_position: high / low / setting / rising

These will be used per-case in Step 3c.

Step 3: Build 5 Cases

Search for filming locations near the user using built-in knowledge + WebSearch:

  1. WebSearch queries (run multiple):

- "{city_name}" famous movie filming locations exact address - "{city_name}" TV drama shooting spots GPS coordinates - "{city_name}" film scenes famous landmarks - Also search in Chinese: "{city_name}" 电影取景地 地址

  1. From results, select exactly 5 locations that:

- Are within 5km of user (expand to 10km if <5 found, note this) - Come from well-known, diverse films/shows (mix genres, eras) - Have identifiable, visitable spots

  1. For each location, use WebSearch to get precise coordinates:

- Query: "{location_name}" GPS coordinates or "{location_name}" 经纬度 - Coordinates MUST be 6 decimal places (e.g., 31.239728, 121.499718) - If WebSearch cannot provide exact coordinates, search for the venue/landmark coordinates directly

For EACH of the 5 cases, produce all 4 parts:

3a. Precise Location Info
Name:        {location_name} ({location_name_english})
Address:     {full_street_address, including district}
Coordinates: {lat_6dp}, {lon_6dp}
Distance:    {distance_in_meters}m from your position
Map:         https://www.google.com/maps?q={lat},{lon}
  • Address must include district/neighborhood level detail
  • Distance in meters (not km) for locations <1km; in km with 1 decimal for >1km
3b. Film Scene Description
Film:     {title} ({original_title}, {year})
Director: {director}
Genre:    {genre}
Scene:    {detailed_description_of_the_specific_scene}

The scene description must be concrete and vivid (3-5 sentences):

  • What happens in the scene (plot context)
  • What the shot looks like (camera angle, framing, movement)
  • What makes this location recognizable in the film
  • Timestamp or episode reference if available (e.g., "01:23:45" or "S02E05")
3c. Photography Parameters (per-location)

Read photo-params-reference.md for the parameter matrix.

Combine the weather/light from Step 2 with this specific location's characteristics to produce tailored settings:

Light Condition: {time_of_day} + {weather} at {location_type}

Camera Settings:
  Aperture:      f/{value}  ({reason_for_this_location})
  Shutter Speed: {value}    ({reason})
  ISO:           {value}    ({reason})
  White Balance: {value}K   ({reason})
  Exposure Comp: {value} EV ({reason})
  Focal Length:  {value}mm  ({reason_matching_film_shot})

Composition Tip: {1-2 sentences on how to frame THIS specific location to match the film}
Phone Tip:       {1 sentence for phone users}

Key: the focal length should match the look of the original film shot when possible. The composition tip must reference the specific film scene.

3d. Generate Cinematic Scene Image

Use ImageGen for each case. Read scene-prompts.md for prompt templates.

CRITICAL REQUIREMENTS for the image:

  1. 1-2 prominent characters/people in the foreground - This is ESSENTIAL for photo recreation

- Characters should be clearly visible and take up significant frame space (not tiny background figures) - Position them in the foreground or middle ground where they can be the focus - Show their full body or 3/4 body, not just tiny silhouettes

  1. Realistic photographic style - Must look like a real movie still / film screenshot:

- Photorealistic, shot on 35mm film aesthetic - The real landmark/venue as recognizable background - Cinematic color grading matching the film's visual tone - Film-accurate camera angle and composition - Appropriate lighting reflecting the film's mood and current weather

  1. NOT illustration, NOT sketch, NOT cartoon

Parameters:

  • Size: 1024x768
  • Name: scene-{case_number}-{location_slug}

IMPORTANT: Generate 5 separate images, one per case. Do NOT batch into a single image.

Step 4: Output Format

Present as 5 self-contained cards. Each card has all 4 parts together:

# {City} Film Location Scout

> Location: {user_location} | Time: {time} | Weather: {weather} {temp}

---

## Case 1: {location_name}

### Film
**{title}** ({year}) dir. {director}
{detailed_scene_description}

### Location
- Address: {full_address}
- Coordinates: `{lat_6dp}, {lon_6dp}`
- Distance: {distance} from you
- [Open in Maps](https://www.google.com/maps?q={lat},{lon})

### Photography Settings
| Parameter | Value | Reason |
|-----------|-------|--------|
| Aperture | f/{val} | {reason} |
| Shutter | {val} | {reason} |
| ISO | {val} | {reason} |
| WB | {val}K | {reason} |
| EV | {val} | {reason} |
| Focal | {val}mm | {reason} |

> Composition: {composition_tip}
> Phone: {phone_tip}

### Scene Image
{scene_image}

**Photo Recreation Tip**: Stand where the {character_description} is positioned in the image above. Frame yourself similarly with the {landmark_feature} visible in the background for the perfect recreation shot.

---

## Case 2: {location_name}
...

[Cases 3-5 follow same structure]

Error Handling

  • IP geolocation fails -> ask user directly
  • <5 locations within 5km -> expand to 10km, note this
  • No films for city -> broaden to province/region
  • Weather unavailable -> use general outdoor params from reference
  • ImageGen fails -> describe composition in text
  • Coordinates imprecise -> use the landmark/venue's known coordinates, never round beyond 6 decimal places

Logging

Throughout the execution, log key information for transparency and debugging:

Log Structure

[LOG] {timestamp} | {step} | {status} | {details}

Required Log Points

  1. Location Detection

- [LOG] {time} | LOCATION | DETECTED | City: {city}, Coords: {lat},{lon} - [LOG] {time} | LOCATION | CONFIRMED | User confirmed: {confirmed_location}

  1. Weather Fetch

- [LOG] {time} | WEATHER | FETCHED | {weather}, {temp}°C, {condition} - [LOG] {time} | LIGHT | CALCULATED | {time_of_day}, {sun_position}

  1. Location Search

- [LOG] {time} | SEARCH | STARTED | Querying {city} film locations - [LOG] {time} | SEARCH | FOUND | {count} locations within {radius}km - [LOG] {time} | SELECTED | {location_name} | Film: {title} | Distance: {distance}m

  1. Image Generation

- [LOG] {time} | IMAGE | GENERATING | Case {n}: {location_name} - [LOG] {time} | IMAGE | SUCCESS | Case {n}: {filename} generated - [LOG] {time} | IMAGE | FAILED | Case {n}: {error_reason}

  1. Completion

- [LOG] {time} | COMPLETE | {total_cases} cases generated | Total distance range: {min}m - {max}m

Log Output

Present logs in a collapsible section at the end of the response:

<details>
<summary>Execution Log</summary>

[LOG] 14:32:01 | LOCATION | DETECTED | City: Shanghai, Coords: 31.230416,121.473701 [LOG] 14:32:03 | LOCATION | CONFIRMED | User confirmed: The Bund [LOG] 14:32:05 | WEATHER | FETCHED | Cloudy, 18°C, Overcast ...


</details>

Skill Description

Purpose

Film Location Scout helps users discover nearby film and TV shooting locations for cinematic photography and scene recreation. It combines real-world location data with film scene information to create a complete photo guide.

Capabilities

  • Auto-detects user location via IP geolocation
  • Searches for film/TV shooting locations within 5km radius
  • Generates cinematic scene images with prominent characters for photo reference
  • Provides precise GPS coordinates and navigation links
  • Calculates weather-based photography parameters
  • Offers composition tips matching the original film shots

Output Format

5 self-contained cases, each containing:

  1. Film Info: Title, director, genre, detailed scene description
  2. Location: Name, full address, precise coordinates (6 decimal places), distance, map link
  3. Photography Settings: Aperture, shutter, ISO, WB, EV, focal length with reasons
  4. Scene Image: AI-generated cinematic still with 1-2 prominent characters for photo recreation

Use Cases

  • Photo Recreation: Users can stand where characters stood and recreate iconic shots
  • Film Tourism: Discover filming locations while traveling
  • Cinematic Photography: Learn professional camera settings for location shooting
  • Scene Pilgrimage: Visit famous movie spots in your own city

Limitations

  • Requires locations to be within database/knowledge coverage
  • Image generation depends on AI capabilities and may not perfectly match the film
  • Weather data is current conditions, not when the scene was filmed
  • Coordinates accuracy depends on available data sources

Dependencies

  • IP geolocation service (ipinfo.io)
  • Web search for location and weather data
  • Image generation capability
  • Real-time weather information

平台分布

OpenClaw

84.49%
按下载量换算796

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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