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Documentation Index

Fetch the complete documentation index at: https://docs.scoutica.com/llms.txt

Use this file to discover all available pages before exploring further.

This command acts as an explorer and fetching client. If someone gives you a Github Repository link, a Raw .json URL, or any HTTP destination holding a Skill Card, scoutica resolve grabs, constructs, and presents the structured persona back to you dynamically.

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Command Syntax

scoutica resolve <card-url> [save-to-dir]

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Execution Flow

  1. Security Isolation: Validates that the URL uses https:// strictly and completely blocks localhost, 127.x.x.x, and internal LAN proxies.
  2. Path Normalization: If you pass https://github.com/traylinx/agent, it automatically reformats strings logically into fetching from raw.githubusercontent.com.
  3. Sequential Target Discovery: It attempts to hit scoutica.json first as a pointer. If it fails, it individually tests for profile.json, rules.yaml, evidence.json, and SKILL.md.
  4. Summary Aggregation: If retrieved successfully, the CLI compiles a rapid Python extraction showcasing:
    • User Name, Title, and Seniority
    • Experience Length and Domains
    • Engagement Constraints (Base salary floors, Remote Policies)
    • The total number of provable evidence links
Why use it:
  • Instantly verify the authenticity of someone’s published card.
  • Download a candidate’s complete professional structure to your hard drive locally with the [save-to-dir] argument to analyze inside your own internal AI pipeline.

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Use Case: Offline Analysis

You are parsing 50 candidates heavily for an upcoming contract gig. Instead of running scripts manually, you execute: 
scoutica resolve https://github.com/john-doe/scoutica-card ./candidates/john-doe/
The CLI seamlessly writes exactly 4 highly-structured files into ./candidates/john-doe/, fully prepared for your local system parsing routines.