Satellite OSINT & Land Analysis

Engineering Verified v1.0
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
Engineering
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
92 / 100 · audit passed
Author / version / license
@0-CYBERDYNE-SYSTEMS-0 · v1.0 · no license declared
Token usage
Lean
Setup complexity
Guided setup
External API key
Required · Google
Operating systems
macOS
Runtime requirements
No special requirements
Permissions
  • Read-only
  • Write / modify
  • Shell exec
Network behavior
External requests
Install commands
26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools,默认拥有全部工具权限。

Output preview satellite-osint-land-analysis.preview
---
name: Satellite OSINT & Land Analysis
description: Open satellite imagery using deeplinks with coordinates and zoom levels via bash `open` command.…
category: engineering
runtime: no special runtime
---

# Satellite OSINT & Land Analysis output preview

## PART A: Task fit
- Use case: Open satellite imagery using deeplinks with coordinates and zoom levels via bash `open` command. Capture screenshots at multiple zoom levels for land analysis, building inventory, structure identification, and agricultural planning. Use when user needs satellite imagery, aerial view, farm analysis, land survey, building detection, structure inventory, property boundaries, coordinates lookup, or OSINT of any location. Triggers on requests for overhead views, map screenshots, or geographic reconnaissance..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “🚀 CRITICAL: Address-First Approach (FASTEST METHOD) / Apple Maps (Preferred - Native macOS, Fastest) / Google Maps (Alternative - Browser-based)” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Open satellite imagery using deeplinks with coordinates and zoom levels via bash `open` command. Capture screenshots at multiple zoom levels for land analysis, building inventory, structure identification, and agricultural planning. Use when user needs satellite imagery, aerial view, farm analysis, land survey, building detection, structure inventory, property boundaries, coordinates lookup, or OSINT of any location. Triggers on requests for overhead views, map screenshots, or geographic reconnaissance.”.
- **02** When the source has headings, the agent prioritizes “🚀 CRITICAL: Address-First Approach (FASTEST METHOD) / Apple Maps (Preferred - Native macOS, Fastest) / Google Maps (Alternative - Browser-based)” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; may access external network resources; requires Google API keys.

## Running Rules
- read files, write/modify files, run shell commands; may access external network resources; requires Google API keys.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: Open satellite imagery using deeplinks with coordinates and zoom levels via bash open command. Capture screenshots at multiple…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “🚀 CRITICAL: Address-First Approach (FASTEST METHOD)”, “Apple Maps (Preferred - Native macOS, Fastest)”, “Google Maps (Alternative - Browser-based)”, “Force Satellite View with AppleScript”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name Satellite OSINT & Land Analysis directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “🚀 CRITICAL: Address-First Approach (FASTEST METHOD) / Apple Maps (Preferred - Native macOS, Fastest) / Google Maps (Alternative - Browser-based)” before expanding.

Boundaries And Review

  • Dependencies: Prepare Google API keys before running a full task.
  • Permissions: Declared permissions include read / write / shell-exec; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Discussion

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