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 svd-ai-lab/sim-cli --skill starccmgit clone --depth 1 https://github.com/svd-ai-lab/sim-cliWrote 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/svd-ai-lab/sim-cli/starccm)<a href="https://agentmods.dev/skills/svd-ai-lab/sim-cli/starccm"><img src="https://agentmods.dev/badge/skills/svd-ai-lab/sim-cli/starccm/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/svd-ai-lab/sim-cli/starccm"><img src="https://agentmods.dev/badge/skills/svd-ai-lab/sim-cli/starccm.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 | $0.00083 | $0.00897 |
| Opus 5.5 | $0.00033 | $0.00359 |
| Sonnet 5.5 | $0.00017 | $0.00179 |
| Haiku 4.5 | $0.00008 | $0.00090 |
Grade A, and why
starccm-sim 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 2d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
starccm-sim
Skill for controlling Simcenter STAR-CCM+ through the simplest real path
that can produce evidence: direct starccm+ launcher/batch commands, saved
.sim inspection, native Java macros, or sim-cli when its runtime layer is
useful.
First principles
- Star-CCM+ uses Java macros, not Python scripts. Every automation script is a
.javafile extendingStarMacro. There is no pip-installable Python SDK. - Execution is batch-mode subprocess.
starccm+ -batch macro.java [case.sim]— sim never imports Star-CCM+ libraries. - The macro recorder is your best API discovery tool. Record GUI actions → read generated
.java→ adapt. - License is required.
CDLMD_LICENSE_FILEmust point to a valid license file. The driver auto-detectslicense.datnear the installation.
Hard constraints
- Script format:
.javafiles only. Mustextends StarMacroandimport star.common.*. - Output convention: Print a JSON object via
sim.println(jsonString)as the last meaningful output line. The driver'sparse_output()extracts it. - No persistent session: Current driver is one-shot only (
supports_session = False). Eachsim runstarts and stops Star-CCM+. - Startup overhead: ~15-20s per run (JVM + license checkout). Plan macros to do meaningful work per invocation.
File index
| Path | What it contains | When to read |
|---|---|---|
base/reference/java_macro_api.md |
Java macro API reference — classes, methods, patterns | When writing any macro |
base/reference/batch_execution.md |
CLI flags, license setup, parallel execution | When configuring runs |
base/snippets/starccm_01_smoke_test.java |
Minimal connectivity test | First run verification |
base/snippets/starccm_02_pipe_flow.java |
Geometry creation + volume mesh generation | E2E reference |
base/known_issues.md |
Vendor quirks and workarounds | When debugging failures |
solver/21.02/notes.md |
Version-specific notes for 2602 (21.02) | After version detection |
What ships with it
7 files 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.
- 2d ago First seen · 67 lines · 83 tokens per session scan A bb4efa30b446
starccm-sim is a skill published in the GitHub repository svd-ai-lab/sim-cli (239 stars, last pushed yesterday), licensed Apache-2.0. It adds 83 tokens to every session and 897 once invoked, about $0.0003 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 2026-10-19.
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