Borrowing it
Nothing to install: this file belongs to pvliesdonk/image-generation-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pvliesdonk/image-generation-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/pvliesdonk/image-generation-mcpWrote 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/instructions/pvliesdonk/image-generation-mcp/claude-md)<a href="https://agentmods.dev/instructions/pvliesdonk/image-generation-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/pvliesdonk/image-generation-mcp/claude-md/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/instructions/pvliesdonk/image-generation-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/pvliesdonk/image-generation-mcp/claude-md.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 | $0.11444 | $0.11444 |
| Opus 5 | $0.05722 | $0.05722 |
| Sonnet 5 | $0.02289 | $0.02289 |
| Haiku 4.5 | $0.01144 | $0.01144 |
Grade A, and why
image-generation-mcp CLAUDE.md 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 9d 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.
This is a copy
89% identical to scholar-mcp CLAUDE.md — 67 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
image-generation-mcp
FastMCP server scaffold. See TEMPLATE.md for customisation guide.
Design
Project Structure
src/image_generation_mcp/
server.py -- FastMCP server factory (make_server) + auth wiring
config.py -- env var loading; add domain config fields here
cli.py -- CLI entry point (serve command)
_server_deps.py -- lifespan + Depends() DI; replace placeholder service
tools.py -- MCP tools; replace example tools with domain tools
resources.py -- MCP resources; add domain resources here
prompts.py -- MCP prompts; add domain prompts here
domain.py -- ImageService + domain types (the service placeholder)
Conventions
- Python 3.11+
uvfor package management,rufffor linting/formatting (line length 88)hatchlingbuild backend- Conventional commits, one type from
build,chore,ci,docs,feat,fix,perf,refactor,revert,style,test— optionally scoped (feat(search): ...) and with!for a breaking change. Onlyfeat,fix, and the!marker drive releases:featcuts a minor,fixa patch,!a major. Every other type —perfincluded — cuts nothing and never reachesCHANGELOG.md; a performance change that must ship on its own is either honestly afix:(it fixes a performance defect) or released with Release Prepare's explicitoverride_versioninput. - Google-style docstrings on all public functions
logging.getLogger(__name__)throughout, noprint()- Type hints everywhere
- Tests:
pytestwith fixtures intests/fixtures/
Pull-request titles are enforced, not merely encouraged. A squash merge
takes the PR title as the commit subject, so CI's PR Title job checks it
against the type list above and fails the CI Success aggregate when it does
not match. This is not style policing: knope computes versions and writes
CHANGELOG.md from those subjects, and it silently ignores a subject whose
type it does not count — no fallback heading, no entry, no warning. That
silent-drop class is exactly what the gate exists for: it keeps the history
parseable and the accepted set deliberate. The changelog itself carries three
sections per release — Breaking Changes first, then Features, then Bug
Fixes — fed only by !/feat/fix subjects; the richness for everything
else lives on the docs/releases/ notes page, not in the changelog.
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.
- 9d ago First seen · 428 lines · 11,444 tokens per session scan A 5fbf9a8f2c36
image-generation-mcp CLAUDE.md is an instructions file published in the GitHub repository pvliesdonk/image-generation-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 11,444 tokens to every session, about $0.0572 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to scholar-mcp CLAUDE.md, differing in 67 lines, and is treated as a copy.
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