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  1. Home
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  3. /gigioneggiando/argo
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repoGitHubTrust 82 Β· PrimaryPublished 1mo agoLive Β· 14d ago

gigioneggiando/argo

πŸ‘οΈ LLM-native static vulnerability detection. An LLM reads your source like a human auditor, point it at any local folder or repo and get a reviewable vuln report. Auto-enriched prompts, adversarial validation, opt-in fix-verify. Runs on Claude Code / Codex / local OSS. Bug-bounty triage is one mode. Detection-only, read-only.

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Paper β†’ model β†’ repo connections mined from source citations (Tier-1 exact match).

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Every edge carries a method, confidence, and the source snippet that justified it β€” so bad links are debuggable.

  • PossiblePossibly related (embedding) Β· 51%Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection β†’
  • PossiblePossibly related (embedding) Β· 49%SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests β†’
  • PossiblePossibly related (embedding) Β· 48%Agent Hacks Agent: Autoresearch for Production-Agent Red-Teaming β†’
  • PossiblePossibly related (embedding) Β· 47%Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability β†’
  • PossiblePossibly related (embedding) Β· 47%When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems β†’
  • PossiblePossibly related (embedding) Β· 51%How to evaluate LLMs before production β†’
  • PossiblePossibly related (embedding) Β· 46%BIND 9 Nine-CVE July Release: LLM Code Audits Push Monthly Security Patches - Tech Times β†’

Implements

paperWords Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability DetectionpaperSWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction TestspaperAgent Hacks Agent: Autoresearch for Production-Agent Red-TeamingpaperMechanism-Driven Monitors for Preemptive Detection of LLM Training InstabilitypaperWhen Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems

Covers (incoming)

newsHow to evaluate LLMs before productionnewsBIND 9 Nine-CVE July Release: LLM Code Audits Push Monthly Security Patches - Tech Times

Related across the graph

paperWhen Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent SystemspaperWords Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability DetectionnewsHow to evaluate LLMs before productionpaperMechanism-Driven Monitors for Preemptive Detection of LLM Training InstabilitypaperAgent Hacks Agent: Autoresearch for Production-Agent Red-TeamingpaperSWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction TestsnewsBIND 9 Nine-CVE July Release: LLM Code Audits Push Monthly Security Patches - Tech Times
Knowledge path·PWhen Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems→PWords Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection→NHow to evaluate LLMs before production→Rgigioneggiando/argo

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agentic-aiaiai-pipelineai-securityappsecbug-bountybugbountybugbounty-toolcode-auditcyber-security

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