openai/skills

security-threat-model

Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Do not trigger for general architecture summaries, code review, or non-security design work.

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See how to use itView GitHub source
npx skills add https://github.com/openai/skills --skill "skills/.curated/security-threat-model"
Automated source guideReview and auditDeep source

Source checked Jul 28, 2026·Refresh due Oct 26, 2026

Reorganized from the pinned upstream SKILL.md

Source-grounded review guide: security-threat-model

Deliver an actionable AppSec-grade threat model that is specific to the repository or a project path, not a generic checklist. Anchor every architectural claim to evidence in the repo and keep assumptions explicit. Prioritizing realistic attacker goals and concrete impacts over…

npx skills add https://github.com/openai/skills --skill "skills/.curated/security-threat-model"
Check the pinned source

The pinned source contains enough sections and task detail for a source-grounded deep guide; automated content is still not an independent test.

677 source words · 11 usable sections

Review inputs

  • Summarize key assumptions that materially affect threat ranking or scope, then ask the user to confirm or correct them.
  • Ask 1–3 targeted questions to resolve missing context (service owner and environment, scale/users, deployment model, authn/authz, internet exposure, data sensitivity, multi-tenancy).
  • Pause and wait for user feedback before producing the final report.

Review workflow

Read security-threat-model through these 5 source sections

Sections are extracted automatically from the pinned SKILL.md and link back to the source.

01

Quick start

1) Collect (or infer) inputs: - Repo root path and any in-scope paths. - Intended usage, deployment model, internet exposure, and auth expectations (if known). - Any existing repository summary or architecture spec. - Use prompts in references/prompt-template.md to generate a re…

SKILL.md · Quick start
Collect (or infer) inputs:Repo root path and any in-scope paths.Intended usage, deployment model, internet exposure, and auth expectations (if known).
02

Workflow

Identify primary components, data stores, and external integrations from the repo summary.

SKILL.md · Workflow
Identify primary components, data stores, and external integrations from the repo summary.Identify how the system runs (server, CLI, library, worker) and its entrypoints.Separate runtime behavior from CI/build/dev tooling and from tests/examples.
03

1) Scope and extract the system model

Identify primary components, data stores, and external integrations from the repo summary.

SKILL.md · 1) Scope and extract the system model
Identify primary components, data stores, and external integrations from the repo summary.Identify how the system runs (server, CLI, library, worker) and its entrypoints.Separate runtime behavior from CI/build/dev tooling and from tests/examples.
04

2) Derive boundaries, assets, and entry points

Enumerate trust boundaries as concrete edges between components, noting protocol, auth, encryption, validation, and rate limiting.

SKILL.md · 2) Derive boundaries, assets, and entry points
Enumerate trust boundaries as concrete edges between components, noting protocol, auth, encryption, validation, and rate limiting.List assets that drive risk (data, credentials, models, config, compute resources, audit logs).Identify entry points (endpoints, upload surfaces, parsers/decoders, job triggers, admin tooling, logging/error sinks).
05

3) Calibrate assets and attacker capabilities

List the assets that drive risk (credentials, PII, integrity-critical state, availability-critical components, build artifacts).

SKILL.md · 3) Calibrate assets and attacker capabilities
List the assets that drive risk (credentials, PII, integrity-critical state, availability-critical components, build artifacts).Describe realistic attacker capabilities based on exposure and intended usage.Explicitly note non-capabilities to avoid inflated severity.

SkillSignal prompt templates

Provide the task, context, and acceptance criteria

These prompts were written by SkillSignal from the source structure; they are not upstream text.

Source-grounded prompt

Use for a review or audit task while explicitly checking the source sections.

Use security-threat-model for this review or audit task: [task]. Inputs and constraints: [details]. Work through these pinned SKILL.md sections: “Quick start”, “Workflow”, “1) Scope and extract the system model”, “2) Derive boundaries, assets, and entry points”, “3) Calibrate assets and attacker capabilities”. Cite the concrete requirements that shape each step, do not invent capabilities absent from the source, and verify the result against: [acceptance criteria].

Review checklist

Verify each item before delivery

The source section “Quick start” has been checked.

The source section “Workflow” has been checked.

The source section “1) Scope and extract the system model” has been checked.

The source section “2) Derive boundaries, assets, and entry points” has been checked.

Static permission evidence

Inspect the exact source lines that triggered a signal

These are source excerpts matched by deterministic rules, not findings of malicious behavior, safety, or actual execution.

Choose a different workflow

When another Skill is the better fit

FAQ

What does the security-threat-model source document cover?

Deliver an actionable AppSec-grade threat model that is specific to the repository or a project path, not a generic checklist. Anchor every architectural claim to evidence in the repo and keep assumptions explicit. Prioritizing realistic attacker goals and concrete impacts over…

How do I install security-threat-model?

The source record exposes this install command: npx skills add https://github.com/openai/skills --skill "skills/.curated/security-threat-model". Inspect the command and pinned source before running it.

Which permission-related actions were detected?

Static rules flagged write-files in the source; the page lists the matching lines and excerpts.

Repository stars
24,265
Repository forks
1,644
Quality
76/100
Source repository last pushed

Quality breakdown

Based on traceable docs and repository signals; stars are not treated as quality.

76/100
Documentation24/30
Specificity25/25
Maintenance18/20
Trust signals9/25

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View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 4 min

Threat Model Source Code Repo

Deliver an actionable AppSec-grade threat model that is specific to the repository or a project path, not a generic checklist. Anchor every architectural claim to evidence in the repo and keep assumptions explicit. Prioritizing realistic attacker goals and concrete impacts over generic checklists.

Quick start

  1. Collect (or infer) inputs:
  • Repo root path and any in-scope paths.
  • Intended usage, deployment model, internet exposure, and auth expectations (if known).
  • Any existing repository summary or architecture spec.
  • Use prompts in references/prompt-template.md to generate a repository summary.
  • Follow the required output contract in references/prompt-template.md. Use it verbatim when possible.

Workflow

1) Scope and extract the system model

  • Identify primary components, data stores, and external integrations from the repo summary.
  • Identify how the system runs (server, CLI, library, worker) and its entrypoints.
  • Separate runtime behavior from CI/build/dev tooling and from tests/examples.
  • Map the in-scope locations to those components and exclude out-of-scope items explicitly.
  • Do not claim components, flows, or controls without evidence.

2) Derive boundaries, assets, and entry points

  • Enumerate trust boundaries as concrete edges between components, noting protocol, auth, encryption, validation, and rate limiting.
  • List assets that drive risk (data, credentials, models, config, compute resources, audit logs).
  • Identify entry points (endpoints, upload surfaces, parsers/decoders, job triggers, admin tooling, logging/error sinks).

3) Calibrate assets and attacker capabilities

  • List the assets that drive risk (credentials, PII, integrity-critical state, availability-critical components, build artifacts).
  • Describe realistic attacker capabilities based on exposure and intended usage.
  • Explicitly note non-capabilities to avoid inflated severity.

4) Enumerate threats as abuse paths

  • Prefer attacker goals that map to assets and boundaries (exfiltration, privilege escalation, integrity compromise, denial of service).
  • Classify each threat and tie it to impacted assets.
  • Keep the number of threats small but high quality.

5) Prioritize with explicit likelihood and impact reasoning

  • Use qualitative likelihood and impact (low/medium/high) with short justifications.
  • Set overall priority (critical/high/medium/low) using likelihood x impact, adjusted for existing controls.
  • State which assumptions most influence the ranking.

6) Validate service context and assumptions with the user

  • Summarize key assumptions that materially affect threat ranking or scope, then ask the user to confirm or correct them.
  • Ask 1–3 targeted questions to resolve missing context (service owner and environment, scale/users, deployment model, authn/authz, internet exposure, data sensitivity, multi-tenancy).
  • Pause and wait for user feedback before producing the final report.
  • If the user declines or can’t answer, state which assumptions remain and how they influence priority.

7) Recommend mitigations and focus paths

  • Distinguish existing mitigations (with evidence) from recommended mitigations.
  • Tie mitigations to concrete locations (component, boundary, or entry point) and control types (authZ checks, input validation, schema enforcement, sandboxing, rate limits, secrets isolation, audit logging).
  • Prefer specific implementation hints over generic advice (e.g., "enforce schema at gateway for upload payloads" vs "validate inputs").
  • Base recommendations on validated user context; if assumptions remain unresolved, mark recommendations as conditional.

8) Run a quality check before finalizing

  • Confirm all discovered entrypoints are covered.
  • Confirm each trust boundary is represented in threats.
  • Confirm runtime vs CI/dev separation.
  • Confirm user clarifications (or explicit non-responses) are reflected.
  • Confirm assumptions and open questions are explicit.
  • Confirm that the format of the report matches closely the required output format defined in prompt template: references/prompt-template.md
  • Write the final Markdown to a file named <repo-or-dir-name>-threat-model.md (use the basename of the repo root, or the in-scope directory if you were asked to model a subpath).

Risk prioritization guidance (illustrative, not exhaustive)

  • High: pre-auth RCE, auth bypass, cross-tenant access, sensitive data exfiltration, key or token theft, model or config integrity compromise, sandbox escape.
  • Medium: targeted DoS of critical components, partial data exposure, rate-limit bypass with measurable impact, log/metrics poisoning that affects detection.
  • Low: low-sensitivity info leaks, noisy DoS with easy mitigation, issues requiring unlikely preconditions.

References

  • Output contract and full prompt template: references/prompt-template.md
  • Optional controls/asset list: references/security-controls-and-assets.md

Only load the reference files you need. Keep the final result concise, grounded, and reviewable.

Source repo
openai/skills
Skill path
skills/.curated/security-threat-model/SKILL.md
Commit SHA
49f948faa925
Repository license
Data collected