Reconstruct specifications, validate findings adversarially, and generate confidence-ranked bug reports.
npx skills add https://github.com/DeevsDeevs/agent-system --skill bug-hunters
Please help me install this Agent Skill. Skill: bug-hunters Source: https://github.com/DeevsDeevs/agent-system/tree/main/bug-hunters Command: npx skills add https://github.com/DeevsDeevs/agent-system --skill bug-hunters
This skill enables teams to systematically identify and report bugs by reconstructing intended behavior, challenging findings adversarially, and delivering confidence-ranked reports.
Start by selecting a hunter role (orchestrator/logic-hunter/cpp-hunter/python-hunter) and prompt the system to begin a bug hunt.
High-intent search queries and answers about installing and using this skill.
To find spec-implementation gaps and data-flow issues, you reconstruct intended specifications to establish a baseline, then apply adversarial validation to challenge findings and generate confidence-ranked bug reports with traceable evidence.
Adversarial validation in bug hunting requires challenging every preliminary finding against the reconstructed specification to minimize false positives, ensuring that only verified spec-implementation gaps and data-flow issues with MEDIUM+ confidence are reported.
You generate confidence-scored bug reports by enforcing mandatory spec reconstruction and adversarial checks on findings, resulting in ranked reports that exclusively document MEDIUM+ bugs with precise location, evidence, and impact notes.
Yes, this systematic bug hunting approach applies to both logic-first algorithm and spec investigations, as well as code-first language and runtime investigations, allowing you to identify data-flow issues across diverse projects and languages.
Yes, mandatory spec reconstruction is required before hunting to establish an agreed-upon behavioral baseline, which is then used to validate findings adversarially and identify discrepancies between intended and actual implementation.
The best way to coordinate bug hunting across languages involves selecting a hunter role such as orchestrator, logic-hunter, cpp-hunter, or python-hunter to manage the workflow and systematically validate spec-implementation gaps.
hsigstadGenerate a new data pipeline directory structure with boilerplate documentation.
cslsoftwaresConvert informal bug reports into structured tickets with severity and reproduction steps.
quangphu1912Trace data flows through codebases to detect security vulnerabilities and integrity issues.
rp4riOrchestrate multi-agent bug-hunting workflows across codebases with role-based execution.
