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/dmontgomery40/bambu-printer-mcp/agents-mdgit clone --depth 1 https://github.com/DMontgomery40/bambu-printer-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/dmontgomery40/bambu-printer-mcp/agents-md)<a href="https://agentmods.dev/instructions/dmontgomery40/bambu-printer-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/dmontgomery40/bambu-printer-mcp/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 | $0.00290 | $0.00290 |
| Opus 5 | $0.00145 | $0.00145 |
| Sonnet 5 | $0.00058 | $0.00058 |
| Haiku 4.5 | $0.00029 | $0.00029 |
Grade A, and why
bambu-printer-mcp 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 5d 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.
The source is not reproduced here
Licensed GPL-2.0
The repository is licensed GPL-2.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 5d ago First seen · 26 lines · 290 tokens per session scan A b58669b50ea6
bambu-printer-mcp AGENTS.md is an instructions file published in the GitHub repository DMontgomery40/bambu-printer-mcp (124 stars, last pushed 1mo ago), licensed GPL-2.0. It adds 290 tokens to every session, about $0.0014 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 2026-08-30.
Other instructions, from other repositories
bambu-printer-mcp CLAUDE.md
Claude Code instructions for offthehook-implication870/bambu-printer-mcp, covering bambu-printer-mcp, release rules, build & test, architecture and safety.
mcp-3D-printer-server CLAUDE.md
Claude Code instructions for DMontgomery40/mcp-3D-printer-server, covering mcp-3d-printer-server, release rules, build & test, architecture and safety.
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).
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 CLAUDE.md
Claude Code instructions for sandraschi/blender-mcp, covering blender-mcp — ai-powered blender automation, commands, architecture and code style & standards.
autonomous-workshop AGENTS.md
AGENTS.md instructions for autonomous-ai/autonomous-workshop, covering autonomous workshop agent instructions, shared runtime architecture, coding agents building this repository, repository ownership and working rules.