threat-model-triage
De la autor
Triage one inbound vulnerability report, scanner hit, fuzzer artifact, or AI finding against a finished threat model. USE WHEN asked whether a finding is valid or in scope. Applies the §1.1 routing algorithm and §1.17 precedence to assign exactly one closed disposition with section and provenance citations; inferred claims may escalate but never close, and assumptions close only what the model's declared triage policy permits. A finding with no supported route is MODEL-GAP and triggers §1.16. DO NOT USE FOR: producing a model from scratch or backtesting a corpus.
Instalare
npx skills add alpha-omega-security/threat-model --skill threat-model-triage -a claude-code
Se instalează în .claude/skills/threat-model-triage/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 82
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- threat-model-backtestalpha-omega-security/threat-modelBacktest phase 3.6 of threat-model production against historical findings before sign-off. USE WHEN a draft model must prove it can uniquely route real reports. Builds a stratified producer-side corpus across components and contract dimensions, clusters large corpora by sink and attack class, and routes each item blind to one §1.17 disposition. Reports MODEL-GAP, contradictory or ambiguous routing, coverage, qualified §1.15 candidates, and §1.18 questions. The corpus is not published. DO NOT USE FOR: drafting, sidecar generation, or triaging one new finding.Securitate★ 60
- finding-triage26zl/cybersec-toolkitUse to triage a single security finding — from a scanner (SAST/DAST/SCA), an audit, a pentest report, a bug bounty submission, a CVE advisory, or a threat hunt — into a defensible disposition with the required evidence. Produces a ticket-ready writeup: Fixed, Deferred, Accepted Risk, or False Positive. Use when normalizing findings across different sources, deciding whether something is real and reachable, assigning contextual severity, or building an audit trail that survives review six months later. Coordinator skill — route findings from audit, offensive, and detection work here for disposition.Securitate★ 82
- threat-model-authoringalpha-omega-security/threat-modelDraft phase 3.5 of a threat model from the orientation brief, surface analysis, and maintainer answers. USE WHEN writing threat-model.md to the canonical §1.1–§1.19 structure. Combines concise prose with the §1.7 trust table and contract matrix, §1.8 output statements, §1.17 disposition table, §1.1 triager quick-start, and any prior-policy back-map. Tags every non-trivial claim as documented, maintainer, or inferred; maps inferred claims to §1.18; and maintains confidence counts. DO NOT USE FOR: sidecar generation, backtesting, or triage.Securitate★ 60
- threat-modelingcbrock84/headcountIdentifies what could go wrong in a system before it is built or changed — the assets worth attacking, the entry points, the trust boundaries, and the controls that actually address the realistic threats. Use this when designing a feature or system, when a change touches authentication, data handling, payments, or external input, before a security review, or when deciding which security work is worth doing at all.Securitate★ 2.1K
- trailmark-finding-triagetrailofbits/skillsPerforms graph-assisted triage of a single security finding, SARIF result, weAudit annotation, suspicious function, or report excerpt using Trailmark reachability, entrypoint paths, taint, privilege-boundary, blast-radius, caller/callee, and neighborhood evidence. Use when deciding whether one candidate issue is reachable, prioritizing a finding before PoC work, preparing evidence for exploit validation, or checking whether a static-analysis result is actionable.Securitate★ 7.8K
- ai-threat-modelzero-lab-ai/skillsBuilds an evidence-bound AI threat model from partial architecture, trust, identity, data-flow, and control information. Use when scoping an AI assessment, reviewing a design, or prioritizing realistic attack paths under uncertainty.Securitate★ 282
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