modelrisk-mcp CLAUDE.md

modelrisk-mcp CLAUDE.md is an instructions file for coding agents from vosesoftware/modelrisk-mcp. It costs 1,077 tokens per session, scanned A, original, MIT.

Repository instructions for Claude Code, an AI coding assistant, when working on the modelrisk-mcp project. They define work preferences, commit checks, version changes, pushing code, and the automated release process.

In plain words
What is it for?
Working on, committing, and releasing changes in the modelrisk-mcp repository.
Why use it?
They give the coding assistant project-specific rules, reducing mistakes around quality checks, commits, versioning, and releases.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/vosesoftware/modelrisk-mcp/claude-md
Clone the repo
git clone --depth 1 https://github.com/vosesoftware/modelrisk-mcp

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 modelrisk-mcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/vosesoftware/modelrisk-mcp/claude-md.svg)](https://agentmods.dev/instructions/vosesoftware/modelrisk-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/vosesoftware/modelrisk-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/vosesoftware/modelrisk-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,077 This file is loaded in full into every session.
When invoked 1,077 The same file — it is already loaded in full.
Security scan A 1 finding. Scan, not verified.
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 $0.01077 $0.01077
Opus 5 $0.00539 $0.00539
Sonnet 5 $0.00215 $0.00215
Haiku 4.5 $0.00108 $0.00108

Measured 3d ago against content hash d41f33503d66, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

modelrisk-mcp CLAUDE.md scanned grade A with 1 finding 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 3d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

After a tag pushes, watch the run with `gh run watch <id> --exit-status` and confirm all five jobs green. Then confirm the version appears on PyPI (`curl pypi.org/pypi/modelrisk-mcp/json | jq .info.version`) and on the M
CLAUDE.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Working preferences for Claude on this repo

Read this before doing work on modelrisk-mcp.

Git push policy

Always do git push yourself. Don't ask the user to switch to PowerShell and run it. The credential dialog works reliably from the bash/PowerShell shell Claude uses, provided the repo-local credential helper is set to manager:

git config --local credential.https://github.com.helper "manager"

That's already configured for modelrisk-mcp and shouldn't need to be re-set. If a push hangs, it's almost always Git Credential Manager waiting on the OS chooser — wait it out or check the user's screen for the dialog. Don't fall back to telling the user to push manually.

The standard sequence after a tagged commit:

git push origin main
git push origin <new-tag>
gh run watch <run-id> --repo vosesoftware/modelrisk-mcp --exit-status

Release pipeline (automated)

Pushing a tag v*.*.* or v*.*.*-* triggers .github/workflows/release.yml. Five jobs run, all green-or-fail:

  1. build-wheel — wheel + sdist via uv build
  2. build-windows-exe — PyInstaller exe + obfuscation scan (release-blocker)
  3. publish-pypi — wheel + sdist via OIDC trusted publishing
  4. publish-mcp-registrymcp-publisher via GitHub OIDC against registry.modelcontextprotocol.io
  5. github-release — assets attached to a GitHub Release page

After a tag pushes, watch the run with gh run watch <id> --exit-status and confirm all five jobs green. Then confirm the version appears on PyPI (curl pypi.org/pypi/modelrisk-mcp/json | jq .info.version) and on the MCP Registry.

Quality gate before every commit

Always run all three before committing. No exceptions:

.venv/Scripts/python.exe -m pytest tests/unit -q
.venv/Scripts/python.exe -m ruff check src tests scripts
.venv/Scripts/python.exe -m mypy src

mypy runs on src only — running it on tests/ surfaces a lot of test-time-only type: ignore lint noise that's not actionable.

Version bumping

Read the full file on GitHub · 75 lines

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. 3d ago First seen · 75 lines · 1,077 tokens per session scan A d41f33503d66

Subscribe to this mod's changes

modelrisk-mcp CLAUDE.md is an instructions file published in the GitHub repository vosesoftware/modelrisk-mcp (0 stars, last pushed 19d ago), licensed MIT. It adds 1,077 tokens to every session, about $0.0054 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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