
from awesome-omni-skills50
Generate an evidence-backed, repository-specific threat model that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and prioritized miti
This skill packages an upstream threat-model workflow so an operator can produce an AppSec-grade, repository-grounded threat model. It drives a focused analysis: scoping components and entrypoints, enumerating trust boundaries and assets, mapping realistic attacker capabilities, enumerating abuse paths, and producing prioritized mitigations tied to concrete files or locations in the repo. The output is a concise Markdown threat-model file that preserves provenance and references to the copied upstream artifacts.
Use this skill when you need a threat model that is specific to a codebase or path — for example, before a security review, PR, or release. Do NOT use it for general architecture summaries or generic security checklists. Use it when provenance matters and when the operator should preserve upstream workflow, support files, and evidence.
Inferred compatibility: codex-cli, claude-code, cursor, gemini-cli and other developer-oriented agent harnesses that can read repository files and run scripted prompts.
A repository-grounded threat modeling skill with no bundled scripts — purely instructional. The SKILL.md is well-structured with clear workflow steps, trigger conditions, and output contracts referencing prompt-template.md. No security concerns: no shell commands, credentials, or network calls. Lacks executable automation which limits practical out-of-box value.
Omni-skills curation wrapper around OpenAI's upstream security-threat-model skill. Provenance metadata (ORIGIN.md, metadata.json) is well-documented. Related skills section lists unrelated skills (ai-pricing, ai-sdr) which seems like filler.
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