Map codebase structure, entry points, frameworks, and data flows into a recon.md report.
npx skills add https://github.com/n4igme/randscript --skill sc1-recon
Please help me install this Agent Skill. Skill: sc1-recon Source: https://github.com/n4igme/randscript/tree/main/llm/skills/scode/sc1-recon Command: npx skills add https://github.com/n4igme/randscript --skill sc1-recon
Map codebases to understand their structure, identify entry points, frameworks, and data flows to support threat modeling during bug bounty workflows.
Scan a repository path to generate an initial recon.md detailing structure, entry points, and data flows.
High-intent search queries and answers about installing and using this skill.
Bug bounty reconnaissance maps codebase structure by scanning repositories to identify entry points, frameworks, and data flows. It generates a structured recon.md report detailing these components to support threat modeling workflows.
Codebase threat modeling identifies entry points, frameworks, and data flows within target repositories to support security analysis. You need it during bug bounty workflows to understand application structure before conducting deeper vulnerability assessments.
Automated recon scales to large codebases by applying scope definitions and boundary notes to focus analysis. It maps entry points and data flows within defined parameters, producing structured documentation suitable for further security analysis.
Generate a reconnaissance report by scanning a target repository path to produce a recon.md file. This report details the codebase structure, entry points, frameworks, and data flows needed to feed the next steps of security assessment.
Security recon identifies entry points and frameworks by mapping codebase structure and tracing data flows across target repositories. This approach produces structured documentation of application boundaries to support threat modeling during bug bounty workflows.
Automated codebase mapping requires defined scope and boundary notes to focus analysis on target repositories. Without these parameters, mapping large codebases may produce unfocused reconnaissance output less suitable for structured threat modeling.
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