Prioritize miscellaneous vulnerability patterns from 225 public bug bounty reports.
npx skills add https://github.com/n4igme/randscript --skill hunt-misc-n4igme
Please help me install this Agent Skill. Skill: hunt-misc Source: https://github.com/n4igme/randscript/tree/main/llm/skills/claude-hunter/skills/hunt-misc Command: npx skills add https://github.com/n4igme/randscript --skill hunt-misc-n4igme
Public bug bounty research yields scattered signals; this skill consolidates insights to guide focused misc vulnerability hunting across any target.
Generate a focused miscellaneous-vulnerability hunting plan for a target using the provided reports and guidelines.
High-intent search queries and answers about installing and using this skill.
Miscellaneous vulnerability hunting involves identifying access control, information disclosure, session management, and misconfiguration patterns across web applications and APIs. This skill consolidates scattered public bug bounty signals from 225 reports to guide targeted security testing in multi-tenant environments.
Yes, you can generate a bug bounty hunting plan for API misconfigurations. The skill applies structured prompts to a dataset of 225 reports, scoring targets by impact and exploitability to craft efficient test recommendations for enterprise applications and APIs.
Yes, the skill prioritizes targets by scoring impact and exploitability. It uses structured prompts and report metadata, including a report count, to rank miscellaneous vulnerability patterns and guide focused security testing across your attack surface.
The best way to hunt access control vulnerabilities using public reports is to consolidate insights from a curated dataset of 225 bug bounty reports. This skill provides faceted attack surface analysis to guide targeted testing across multi-tenant environments.
When testing information disclosure in multi-tenant environments, the skill is limited to the miscellaneous vulnerability patterns present in its 225 curated public bug bounty reports. It requires structured prompts and relies on the included sources metadata for target scoring.
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