mantis-threat-model
Build Threat Models from Your Mantis Knowledge Base
Architecture notes often leave attacker access and trust boundaries unclear. This skill turns existing Mantis knowledge into a structured threat model with deployment intent and snapshot provenance.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
Review the Skillstore skill "mantis-threat-model" from https://skillstore.io/skills/google-mantis-threat-model.md and its manifest at https://skillstore.io/api/skills/google-mantis-threat-model/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Ressources lisibles par les agents
Utilisez ces liens lorsquâun Agent IA, un crawler ou un script a besoin dâun contexte propre au lieu de lire toute la page.
Tester
Utilisation de « mantis-threat-model ». Generate a model from a KB describing a public API, an authentication service, and a customer database.
Résultat attendu:
- System overview: The public API accepts client requests and delegates identity checks to the authentication service.
- Deployment intent: Production, because the KB describes an externally reachable service.
- Trust boundary: Untrusted requests cross into authenticated application operations at the API authorization layer.
- Threat actor: An unauthenticated network attacker can reach the API entry point.
- High-risk asset: Customer records require confidentiality and integrity protections.
Utilisation de « mantis-threat-model ». Rerun the model using the same recorded snapshot and reuse the existing model content.
Résultat attendu:
- Snapshot provenance: The model retains the current snapshot identifier.
- Freshness warning: The threat model was not reevaluated this pass and was carried forward from the unchanged snapshot.
- Archive action: The prior model is copied to the pass archive before replacement.
Audit de sécurité
Risque faibleAll 101 static findings are false positives involving Markdown formatting, expected workspace metadata, or locator checks skipped by this KB-only stage. No evidence found of credential theft, exfiltration, malicious execution, or audit-directed prompt injection. One semantic finding identifies potential archive-history loss when the same pass is rerun.
Préoccupations de sécurité confirmées (1)
Facteurs de risque
âïž Commandes externes (50)
đ AccĂšs au systĂšme de fichiers (7)
Partager et citer ce rapport
Partagez le rapport dâĂ©valuation versionnĂ©, le badge neutre, la carte intĂ©grable et les citations. Skillstore prĂ©sente les preuves sans dĂ©cider si ce Skill est sĂ»r.
Copier le lien du rapport
https://skillstore.io/skills/google-mantis-threat-model/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/google-mantis-threat-model?utm_source=security_passport_badge)Badge HTML
<a href="https://skillstore.io/skills/google-mantis-threat-model?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/google-mantis-threat-model/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Carte intégrable
<iframe src="https://skillstore.io/embed/skills/google-mantis-threat-model.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Citations académiques (APA · BibTeX · CFF)
Citation APA
google. (2026). mantis-threat-model security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/google-mantis-threat-model/audits/1Citation BibTeX
@techreport{google-google-mantis-threat-model-2026,
author = {google},
title = {mantis-threat-model security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/google-mantis-threat-model/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "mantis-threat-model security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "google"
date-released: "2026-10-04"
url: "https://skillstore.io/skills/google-mantis-threat-model/audits/1"
identifiers:
- type: other
value: "skillstore:google-mantis-threat-model:audit:1"
description: "Skillstore immutable audit report identifier"
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: MoyenCe que vous pouvez créer
Review Architectural Exposure
Identify attacker entry points and trust boundaries from an existing Mantis architecture knowledge base.
Refresh Models After Snapshot Changes
Regenerate threat-model sections and reassess deployment intent when the recorded snapshot changes.
Prepare Security Planning Context
Provide downstream planning agents with attacker profiles, entity references, and asset availability classifications.
Essayez ces prompts
Run /mantis-threat-model using the populated Mantis knowledge base in the current workspace.
Run /mantis-threat-model --state_root [state_directory]. Use its architecture and entity documents, archive the prior model, and save the replacement.
Run /mantis-threat-model --state_root [state_directory] --snapshot_id [snapshot_id]. Recompute deployment intent when provenance changes and default to production for uncertain evidence.
Run /mantis-threat-model --state_root [state_directory] --snapshot_id [snapshot_id]. Preserve existing archives; add the required STALE banner if unchanged provenance leads to reused content.
Bonnes pratiques
- Populate architecture and entity documents with current deployment, entrypoint, and availability evidence before running the skill.
- Keep snapshot identifiers consistent with the knowledge base revision and review models marked stale.
- Preserve existing pass archives and verify the backup before replacing the live threat model.
Ăviter
- Using this skill as a source-code scanner or JSONL learning extractor.
- Declaring a system sample-only when production evidence is missing, contradictory, or uncertain.
- Treating unchanged snapshot labels as proof that the knowledge base is current or rerunning passes without archive protection.
Foire aux questions
What inputs does this skill require?
Does it inspect application source code?
Where is the threat model saved?
What happens when snapshot metadata is missing?
How does it classify deployment intent?
Can repeated runs affect model history?
Détails du développeur
Auteur
googleLicence
MIT
Révision Skillstore
r1
Avis de version
Lâauteur nâa dĂ©clarĂ© aucune version.
DépÎt
https://github.com/google/mantis/tree/f48a85e8823ee6f4824ae9a24b9b2efb8aab8c9a/mantis-threat-modelRéf
afe56992452feed3201cea1348a69613bf5d0a6d
Récence de maintenance
05/10/2026
Utilisation
0 téléchargements · 0 vues
Structure de fichiers
đ SKILL.md