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 Katagiri-Hoshino-Lab/VibeCodeHPC --skill environment-setupgit clone --depth 1 https://github.com/Katagiri-Hoshino-Lab/VibeCodeHPCWrote 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/katagiri-hoshino-lab/vibecodehpc/environment-setup)<a href="https://agentmods.dev/skills/katagiri-hoshino-lab/vibecodehpc/environment-setup"><img src="https://agentmods.dev/badge/skills/katagiri-hoshino-lab/vibecodehpc/environment-setup/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/katagiri-hoshino-lab/vibecodehpc/environment-setup"><img src="https://agentmods.dev/badge/skills/katagiri-hoshino-lab/vibecodehpc/environment-setup.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 | $0.00034 | $0.00249 |
| Opus 5 | $0.00017 | $0.00125 |
| Sonnet 5 | $0.00007 | $0.00050 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
environment-setup 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 10d 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
Environment Setup
Decision Flow
- Check available tools:
which node npm cargo python3 module - Check constraints: container restrictions, network access, admin privileges
- Select CLI based on environment (see references/)
- Install and authenticate
CLI Selection Guide
| Constraint | Recommended CLI |
|---|---|
| No npm/node | Codex (Rust binary) |
| No network (air-gapped) | vibe-local (Ollama, pre-downloaded models) |
| Supercomputer (batch jobs) | Claude Code or Codex |
| Container (no job scheduler) | Any, but verify batch job access |
| Free tier only | OpenCode (Nemotron, keyless) |
References
Environment-specific guides in references/:
references/local_pc.md— WSL, macOS, Linux desktopreferences/supercomputer.md— module system, batch jobs, SSHreferences/container.md— Singularity, Docker constraints
What ships with it
3 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.
- 10d ago First seen · 31 lines · 34 tokens per session scan A d52ae9d0c6b0
environment-setup is a skill published in the GitHub repository Katagiri-Hoshino-Lab/VibeCodeHPC (39 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 249 once invoked, about $0.0002 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.
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