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fettle: Command for Claude Code

.github/prompts/fettle-threat-model.prompt.md

fettle-threat-model is a command for Claude Code, GitHub Copilot from MilindGaharwar/fettle. It costs 21 tokens per session (255 once invoked), scanned A, original, Apache-2.0.

A command that creates a STRIDE threat model for a service. STRIDE is a security checklist covering spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privilege.

In plain words
What is it for?
Use it to generate a threat-model document, inspect automatically detected service components, and work through threats with human confirmation.
Why use it?
It provides a starting inventory of entry points, data stores, and authentication mechanisms so security risks can be reviewed systematically.

Command for Claude CodeGitHub Copilot

Written for Claude Code and GitHub Copilot: argument-hint in frontmatter, but also a Copilot chat mode or prompt.

This is MilindGaharwar/fettle's own configuration. It tells Claude Code and GitHub Copilot how to work on fettle itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fettle configures →

Part of the fettle plugin — 34 commands, 4 hooks shipped together

not rated 4repo changed 1mo ago A scan 21 tokens original Apache-2.0
View source ↗ MilindGaharwar/fettle pypi.org
Reuse

Borrowing it

Nothing to install: this file belongs to MilindGaharwar/fettle. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/MilindGaharwar/fettle/main/.github/prompts/fettle-threat-model.prompt.md
Clone the repo
git clone --depth 1 https://github.com/MilindGaharwar/fettle

Made for: Claude Code, GitHub Copilot.

Or install fettle, the plugin that ships this one along with the rest of its 34 commands, 4 hooks.

Wrote 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.

agentmods badge for fettle-threat-model

README.md
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Your own site
<a href="https://agentmods.dev/commands/milindgaharwar/fettle/fettle-threat-model"><img src="https://agentmods.dev/badge/commands/milindgaharwar/fettle/fettle-threat-model/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.

agentmods 80×15 button for fettle-threat-model

Your own site · 80×15
<a href="https://agentmods.dev/commands/milindgaharwar/fettle/fettle-threat-model"><img src="https://agentmods.dev/badge/commands/milindgaharwar/fettle/fettle-threat-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 255 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.00255
Opus 5.5 $0.00008 $0.00102
Sonnet 5.5 $0.00004 $0.00051
Haiku 4.5 $0.00002 $0.00026

Measured 1mo ago against content hash b60890629285, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fettle-threat-model 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 1mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/prompts/fettle-threat-model.prompt.md · 32 lines

What it actually says

$ARGUMENTS refers to any text the user typed after the slash command.

Generate a threat model for the target service.

Procedure

  1. Determine service name. Use $ARGUMENTS if provided, otherwise derive from the workspace directory name.

  2. Run the generator:

    python3 -m fettle.threat_model --name SERVICE --root . --output docs/threat-model-SERVICE.md

  3. Present the auto-detected data (entry points, data stores, auth mechanisms) and ask the user to confirm or add missing items.

  4. Help fill STRIDE tables by analyzing the detected components and suggesting threats for each category.

  5. Save the completed model to docs/threat-model-{name}.md.

Notes

  • Auto-detection is best-effort (grep-based), NOT comprehensive
  • The STRIDE tables require human judgment to fill
  • This is a guided template, not a replacement for a security architect
Changes

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.

  1. 1mo ago Changed · +2 lines · +5 tokens per session b60890629285
  2. 1mo ago First seen · 30 lines · 16 tokens per session scan A 6e07c592eb1b

Subscribe to this mod's changes

fettle-threat-model is a command published in the GitHub repository MilindGaharwar/fettle (4 stars, last pushed yesterday), licensed Apache-2.0. It adds 21 tokens to every session and 255 once invoked, about $0.0001 per session on Opus 5.5. 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.

Claude CodeSecurityai-agentsclicodex-clideveloper-toolsdevsecops
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