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 agentmods add instructions/ifbars/blender-agent-studio/agents-mdgit clone --depth 1 https://github.com/ifBars/blender-agent-studioWrote 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/ifbars/blender-agent-studio/agents-md)<a href="https://agentmods.dev/instructions/ifbars/blender-agent-studio/agents-md"><img src="https://agentmods.dev/badge/instructions/ifbars/blender-agent-studio/agents-md.svg" alt="Measured on agentmods" 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 | $0.00140 | $0.00140 |
| Opus 5 | $0.00070 | $0.00070 |
| Sonnet 5 | $0.00028 | $0.00028 |
| Haiku 4.5 | $0.00014 | $0.00014 |
Grade A, and why
blender-agent-studio AGENTS.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 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.
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.
What it actually says
Repository Instructions
- Use Bun for package scripts and dependency management.
- Run
bun run testafter changing TypeScript, MCP, scoring, or benchmark code. - Run
bun run checkafter changing plugin metadata, skills, marketplace files, or documentation. - Keep the plugin name aligned across
.agents/plugins/marketplace.json, the plugin folder, and.codex-plugin/plugin.json. - Do not commit generated Blender models, exports, renders, benchmark runs, agent traces, or local
.tmpoutput. - Keep Blender execution bounded. Do not add a generic arbitrary-Python MCP tool.
- Treat one benchmark generation per condition as directional evidence, not a universal capability claim.
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.
- 3d ago First seen · 10 lines · 140 tokens per session scan A 36af3b375d39
blender-agent-studio AGENTS.md is an instructions file published in the GitHub repository ifBars/blender-agent-studio (6 stars, last pushed 16d ago), licensed MIT. It adds 140 tokens to every session, about $0.0007 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
BlenderToRive3D CLAUDE.md
Claude Code instructions for pencilpark/BlenderToRive3D, covering blender to rive 3d export — universal guide, workflow orchestration, 1. plan mode default, 2. subagent strategy to keep main context window clean and 3. mandatory: self-improvement loop mandatory.
dcc-mcp-blender CLAUDE.md
Instructions for dcc-mcp/dcc-mcp-blender, covering what this project does, claude desktop configuration, progressive loading — important for claude, claude-specific tips and quick test prompts.
dcc-mcp-blender GEMINI.md
Instructions for dcc-mcp/dcc-mcp-blender, covering gemini.md — google gemini / vertex ai integration guide, what this project does, gemini-specific strengths, 1. skill script generation and 2. structured tool results.
blender-mcp-senpai CLAUDE.md
Claude Code instructions for xhiroga/blender-mcp-senpai.
dcc-mcp-blender AGENTS.md
Instructions for dcc-mcp/dcc-mcp-blender, covering agents.md — dcc-mcp-blender agent navigation map, agent control path, cli availability and updates, 30-second summary and quick start (3 lines).
worldlabs-mcp copilot-instructions.md
Instructions for sandraschi/worldlabs-mcp, covering world labs mcp - copilot instructions and session context (world labs mcp).