Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add niels-emmer/myace --skill threat-modeling-quickstartgit clone --depth 1 https://github.com/niels-emmer/myaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/niels-emmer/myace/threat-modeling-quickstart)<a href="https://agentmods.dev/skills/niels-emmer/myace/threat-modeling-quickstart"><img src="https://agentmods.dev/badge/skills/niels-emmer/myace/threat-modeling-quickstart/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/niels-emmer/myace/threat-modeling-quickstart"><img src="https://agentmods.dev/badge/skills/niels-emmer/myace/threat-modeling-quickstart.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.00741 |
| Opus 5 | $0.00020 | $0.00370 |
| Sonnet 5 | $0.00008 | $0.00148 |
| Haiku 4.5 | $0.00004 | $0.00074 |
Grade A, and why
Threat Modeling Quickstart scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Give new attack surface a fast, structured look before it's considered reviewed, without requiring a full formal threat-modeling exercise (STRIDE workshop, data-flow diagrams, etc.) for every small change. This is the lightweight version that fits inside a normal code review.
When to use it
Trigger this pass whenever a change introduces or materially alters:
- A new network-facing endpoint, listener, or public interface.
- A new data store (database, cache, queue, file store) or a new class of data flowing into an existing one.
- A new trust boundary — a new external integration, a new class of caller (e.g. previously internal-only, now reachable by end users), or a change to what an existing boundary trusts.
If none of these apply, skip it and note "N/A — no new attack surface" in the review.
Steps
-
Name the surface. State in one sentence what's new: "a new
/api/v1/webhooks/incomingendpoint that accepts POSTs from an external payment provider." -
What could go wrong? List concrete failure modes, not abstract categories — spoofed requests (no signature verification), replay of a captured valid request, oversized payloads causing resource exhaustion, malformed payloads crashing the handler, the endpoint being used to enumerate internal state via timing or error differences.
-
Who could exploit it? Name the realistic actor for each failure mode: an anonymous internet user, an authenticated low-privilege user, someone who has compromised a downstream dependency, an insider with legitimate but narrower access. Don't default to "a sophisticated attacker" when the honest answer is "anyone who can send an HTTP request."
-
What's the blast radius? For each failure mode, state what's actually reachable if it's exploited — a single record, a single tenant's data, the whole data store, the ability to pivot to another system, or just noisy logs and no real impact. Be specific about scope; "could be bad" isn't a blast radius.
-
Check the boundary controls. For each identified risk, confirm there's a concrete mitigation in place — signature/HMAC verification, rate limiting, authentication, input size limits, allowlisted callers — and note which risks have no mitigation yet.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 50 lines · 41 tokens per session scan A fd809591c361
Threat Modeling Quickstart is a skill published in the GitHub repository niels-emmer/myace (1 stars, last pushed 3d ago), licensed MIT. It adds 41 tokens to every session and 741 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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