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 commands/brendancol/xarray-spatial-skills/benchgit clone --depth 1 https://github.com/brendancol/xarray-spatial-skillsWhat 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 | $0.00000 | $0.01207 |
| Opus 5 | $0.00000 | $0.00603 |
| Sonnet 5 | $0.00000 | $0.00241 |
| Haiku 4.5 | $0.00000 | $0.00121 |
Grade A, and why
bench 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 128 lines · 0 tokens per session scan A dffbfe0e0d2c
bench is a command published in the GitHub repository brendancol/xarray-spatial-skills (3 stars, last pushed 1mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,207 tokens. 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 commands, from other repositories
validate_changed_docstrings
Validates Python docstrings in all uncommitted changed files using Sphinx parsing.
implement-python
Senior Python engineer implementation command. Launches a background agent with full Python development capabilities and access to the mastering-python-skill reference materials.
update-python-version
Update the minimum Python version requirement across the entire codebase.
execute-pydantic-ai-prp
Implement a Pydantic AI agent using the PRP file.
run
Command "run" from ErisPulse/ErisPulse, covering erispulse.cli.commands.run 模块, 模块概述, 类列表, class reloadhandler(filesystemeventhandler) and class runcommand(command).
scaffold
Scaffold a new Python/PySide6 application with pyproject.toml, src layout, and qt-suite config.