Borrowing it
Nothing to install: this file belongs to scott-createplay/blender-mcp-synthgen. 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/scott-createplay/blender-mcp-synthgen/master/CLAUDE.mdgit clone --depth 1 https://github.com/scott-createplay/blender-mcp-synthgenWrote 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/scott-createplay/blender-mcp-synthgen/claude-md)<a href="https://agentmods.dev/instructions/scott-createplay/blender-mcp-synthgen/claude-md"><img src="https://agentmods.dev/badge/instructions/scott-createplay/blender-mcp-synthgen/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/scott-createplay/blender-mcp-synthgen/claude-md"><img src="https://agentmods.dev/badge/instructions/scott-createplay/blender-mcp-synthgen/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 | $0.00884 | $0.00884 |
| Opus 5 | $0.00442 | $0.00442 |
| Sonnet 5 | $0.00177 | $0.00177 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
blender-mcp-synthgen 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 8d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — blender-synthgen-mcp
Project context + working rules for any Claude agent editing this repo. Keep this concise;
the deep material lives in knowledge/ and docs/ONBOARDING.md — read those, don't duplicate
them here.
What this is
A Python toolkit + (later) composable MCP that helps an agent generate 3D synthetic data in Blender procedurally: structural variation from Geometry Nodes, per-instance appearance from shaders, ground-truth labels from the compositor — swept over parameters/seeds. It composes with an existing Blender MCP (transport), it does not replace it.
Start here: README.md → ROADMAP.md → knowledge/procedural_paradigm.md →
knowledge/scene_graph_contexts.md. For a task handoff, docs/ONBOARDING.md.
Working principles (non-negotiable)
- Grounding, not memory. Never guess Blender node/socket ids. Query the extracted schema:
python -m synthgen.schema.query show "<node>"(also--shader,--compositor). Socket label ≠ identifier. - Derive, don't set. Author/rewire node graphs; treat destructive
bpy.opsscene edits as a last resort. Read-only first; mutation is graph-diff, never a destructive command. - The scene graph is a lazy, pull-based view over bpy; the JSON snapshot is a projection for offline/diff only. Edge tiers: ① native pointer, ② reconstructed via cook-then-read, ③ ontological gap (record, never fabricate).
- Complete up to Blender's data model — authorability ⇒ introspectability.
Dev workflow
- Tests are offline (no Blender):
pip install -e ".[dev]" && pytest(orPYTHONPATH=src pytest). Keep them green; add tests with new code. ~70% of the code needs no Blender. - Only
scenegraph/backend_bpy.py(and the extractors) need Blender. Run bpy headless:& "C:\Program Files\Blender Foundation\Blender 5.2\blender.exe" -b [file.blend] -P script.py - Layout:
src/synthgen/{extract,schema,scenegraph}·data/schemas/<app-version>/·knowledge/(agent brain) ·skill/SKILL.md·mcp/(Phase 3).
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.
- 8d ago First seen · 56 lines · 884 tokens per session scan A b777e8aa4d88
blender-mcp-synthgen CLAUDE.md is an instructions file published in the GitHub repository scott-createplay/blender-mcp-synthgen (0 stars, last pushed 21d ago), licensed MIT. It adds 884 tokens to every session, about $0.0044 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.