Threat Model Triage logo

Threat Model Triage

Organization
alpha-omega-security
threat-model-triage

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.

Overview

Publisheralpha-omega-security
Repositorythreat-model
Skill namethreat-model-triage
Stars
60
Forks
10
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by alpha-omega-security on GitHub. Read the source before you install it.

Installation

Install the Threat Model Triage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/alpha-omega-security/threat-model/tree/main/skills/threat-model-triage
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/alpha-omega-security/threat-model.git /tmp/threat-model
mkdir -p .claude/skills
cp -r /tmp/threat-model/skills/threat-model-triage .claude/skills/threat-model-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Threat Model Triage in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Threat Model Triage on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Threat Model Triage is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Threat Model — Triage (route one finding)

The consumer side of the model. Given an inbound finding and a finished (or drafted) threat model, assign exactly one disposition from the closed §1.17 set, citing the section that licenses it. The response is "see threat model §X", not ad-hoc prose.

Requires a threat model produced by the threat-model orchestrator (or an equivalent document following output-structure.md). If no such model exists, stop and recommend producing one first.

Route from the prose and the threat-model.yaml sidecar, never from the threat-model.json export. The JSON drops disposition_precedence, disclaimed-property tiers, and known-non-finding component/symptom scope, so a consumer holding only the JSON cannot apply §1.17 first-match ordering or the security-critical floor. It states the contract; it cannot route a report against it.

Routing algorithm (the §1.1 triager quick-start)

  1. Locate the sink → look up its row in the §1.7 input-trust table (or the §1.8 output statement, for findings about what downstream consumers may assume).
  2. Locate the contract dimension → for state corruption, overflow, recursion, callback execution, deserialization, lifecycle, concurrency, or complexity findings, consult the component's contract-dimension row and its routed owning claim in §1.3/§1.5/§1.7/§1.10/§1.11/§1.12 or unresolved question in §1.18. Do not infer failure semantics from the parameter trust row alone.
  3. Check the attacker capability and control kind the finding requires against §1.7/§1.10. Distinguish control of data from control of size, type/class, callback code, object topology, collaborator implementation, or serialized state.
  4. Check the affected component against §1.2/§1.3, and any required build flag against §1.6.
  5. If the root cause lies in a dependency, apply §1.9.
  6. Check §1.15 for an exact known non-finding match: same component or sink, symptom/attack class, and required conditions, with a current stable discharge reference. Textual resemblance is insufficient.
  7. Apply §1.17's first-match precedence and assign exactly one disposition, citing the licensing section and provenance. If none fits, assign MODEL-GAP and trigger §1.16 — do not improvise.

The closed disposition set (§1.17)

DispositionWhenLicensed by
VALIDViolates a claimed property via an in-scope adversary and input.§1.11, §1.7, §1.10
VALID-HARDENINGNo §1.11 property violated, but a §1.14 misuse is easy enough to harden. Private; maintainer discretion; usually no CVE.§1.14
OUT-OF-MODEL: trusted-inputNeeds attacker control of a parameter marked trusted.§1.7
OUT-OF-MODEL: adversary-not-in-scopeNeeds an excluded attacker capability.§1.10
OUT-OF-MODEL: unsupported-componentLands in out-of-scope code.§1.3
OUT-OF-MODEL: non-default-buildRequires a configuration explicitly marked dev-only, discouraged for the modeled use, or unsupported; non-default alone is insufficient.§1.6
OUT-OF-MODEL: dependency-contractRoot cause is a dependency failing its own contract; usage conformant. Forward upstream, don't just close.§1.9
BY-DESIGN: property-disclaimedConcerns a property explicitly not provided.§1.12
KNOWN-NON-FINDINGMatches a documented recurring false positive.§1.15
MODEL-GAPFits none of the above → revise the model.triggers §1.16

Guardrails

  • Exactly one disposition. Apply §1.17's precedence when multiple preconditions fail. Report MODEL-GAP only when the model is silent or genuinely contradictory, not merely because two predicates are true.
  • MODEL-GAP is not "other". It means the model is incomplete: the correct response is to add the property to §1.11/§1.12 (via threat-model-authoring), not to make an ad-hoc call on the report.
  • Closure constraint (all statuses), governed by the declared triage policy. Any disposition that closes a report against the reporter (OUT-OF-MODEL: *, BY-DESIGN: *, KNOWN-NON-FINDING) must be licensed by a documented or maintainer claim, with one policy-scoped exception for assumption:
    • An inferred licensing claim always escalates instead of closing.
    • Read the header's triage policy. Under strict (default) an assumption also escalates only. Under relaxed an assumption may close the low-blast-radius routes — trusted-input, adversary-not-in-scope, unsupported-component, non-default-build, and a non-security-critical property-disclaimed — as a provisional close: cite the QN, note it re-opens on challenge, and leave the §1.18 item open.
    • Security-critical floor (both policies). An assumption never licenses KNOWN-NON-FINDING, a property-disclaimed whose property is security-critical, or dependency-contract; those escalate unless documented / maintainer.
    • Silence floor (both policies, every provenance). A §1.12 disclaimer that rests on the absence of a statement rather than on a stated limit never closes a security-critical report, a KNOWN-NON-FINDING, or dependency-contract — even tagged documented. Escalate instead.
    • An untiered §1.12 disclaimer is treated as security-critical, not as the weaker case. Do not read a blank tier as permission.
    • VALID routings are unaffected. A model marked accepted while retaining inferred or assumption claims is invalid; return it for status/model correction.
  • An escalated finding is not a MODEL-GAP. Escalation means the route is right and the authority to use it is missing; MODEL-GAP means there is no route. Keep the disposition, mark it escalated, and name the §1.18 question that would unblock it. Do not feed it into the §1.16 revision loop — that loop is for genuine gaps, and filling it with escalations manufactures phantom model defects.
  • Cite provenance. When a disposition closes a report, cite the tagged claim (e.g., "not a bug — §1.12 disclaims this property (maintainer, 2025-03)", or "provisionally out of model — §1.7 (assumption, Q6) under relaxed policy; re-open on challenge").

Output

The disposition and its status, written as DISPOSITION (status) — for example OUT-OF-MODEL: trusted-input (escalated). The status is one of:

StatusMeaning
closedLicensed by a documented or maintainer claim. The report is answered.
provisionalA relaxed-policy assumption close. Cite the QN; re-opens on challenge.
escalatedThe route is right but its license cannot close it. Name the blocking QN.

VALID and MODEL-GAP are not closes and take no status qualifier.

Also report the citing section(s), the provenance of the licensing claim, and — for MODEL-GAP or a two-way route — the model-revision or sharpening recommendation to hand back to the orchestrator.

Frequently asked questions

What does the Threat Model Triage AI skill do?

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.

Why use Threat Model Triage on TypingMind?

Because you install it once and use it with any model. Threat Model Triage is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Threat Model Triage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alpha-omega-security/threat-model/tree/main/skills/threat-model-triage. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Threat Model Triage?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Threat Model Triage?

As many as you like. As long as a model supports skills, you can use Threat Model Triage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Threat Model Triage AI skill free?

Yes. It is published on GitHub by alpha-omega-security under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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