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 skills add adilkalam/orca --skill print-prepgit clone --depth 1 https://github.com/adilkalam/orcaWrote 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/skills/adilkalam/orca/print-prep)<a href="https://agentmods.dev/skills/adilkalam/orca/print-prep"><img src="https://agentmods.dev/badge/skills/adilkalam/orca/print-prep/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/skills/adilkalam/orca/print-prep"><img src="https://agentmods.dev/badge/skills/adilkalam/orca/print-prep.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 | $0.00058 | $0.02812 |
| Opus 5.5 | $0.00023 | $0.01125 |
| Sonnet 5.5 | $0.00012 | $0.00562 |
| Haiku 4.5 | $0.00006 | $0.00281 |
Grade A, and why
print-prep 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 1mo 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 — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Print-Prep Skill
RULE: Never recommend a setting without explaining WHY and stating confidence level.
Hard Rules (Non-Negotiable)
- Never apply settings without explaining WHY and stating confidence level (Empirical / Research consensus / Inferred)
- Never recommend calibration values (K-value, flow rate, exact max volumetric speed) -- these MUST be calibrated per spool via Flow Dynamics and Flow Rate calibration
- Never assume two spools behave identically -- even same brand/color can vary in diameter, moisture, and additive ratio. Always note spool-specific variables.
- Never ignore model geometry when recommending speed/cooling -- a cylinder, a cube, and an organic sculpture respond differently to the same settings
- Never recommend Proto-Pasta Steel/Brass PLA on P2S -- brass nozzle + abrasive filament = nozzle destruction. X1C with Diamondback only.
- Always compute actual speed from max volumetric speed:
Flag if actual speed falls in VFA zone (70-170 mm/s). Show the math.actual_speed = max_vol / (layer_height * line_width)
MCP Tools Available
When working in the ~/3d-models project, Claude has direct access to bambu-3mf MCP tools for reading and writing 3MF files and presets.
Settings Tools (read/write 3MF files directly)
list_presets-- Scan ~/3D-Models/_presets/ for available filament and process presetsread_settings-- Extract print settings from a 3MF file or JSON preset. Returns project_settings and filament_settings.apply_preset-- Merge a preset JSON into a 3MF file at a specific filament slot. Creates backup.update_settings-- Surgical key-value override on a 3MF file. Creates backup.
Slicer Tools (require OrcaSlicer CLI)
slice_analyze-- Run OrcaSlicer on a 3MF to get real time/weight/cost estimatesslice_compare-- Compare multiple presets via actual slicing, get recommendationslice_batch-- Calculate batch production metrics (time/cost for N units)read_orca_config-- Read Orca_print.config XML metadata from 3MF (no CLI needed)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 240 lines · 58 tokens per session scan A 25ac98ae3653
print-prep is a skill published in the GitHub repository adilkalam/orca (2 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 2,812 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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