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 skills/ma-compbio-lab/skillfoundry/pyarrow-format-conversion-starternpx skills add ma-compbio-lab/SkillFoundry --skill pyarrow-format-conversion-startergit clone --depth 1 https://github.com/ma-compbio-lab/SkillFoundryWrote 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/ma-compbio-lab/skillfoundry/pyarrow-format-conversion-starter)<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/pyarrow-format-conversion-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/pyarrow-format-conversion-starter.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 | $0.00000 | $0.00254 |
| Opus 5 | $0.00000 | $0.00127 |
| Sonnet 5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00025 |
Grade A, and why
pyarrow-format-conversion-starter 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 4d 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
PyArrow Format Conversion Starter
Use this skill to convert a small tabular file into Parquet with PyArrow and inspect a deterministic round-trip summary.
What This Skill Does
- reads a tiny tabular input with typed columns
- builds an Arrow table in memory
- writes a local Parquet file
- reads the Parquet file back and verifies the round trip
When To Use It
- when you need a starter for
format-conversion - when you want a small Arrow-to-Parquet example without a larger data stack
- when you need a deterministic schema summary for tests or demos
Run
./slurm/envs/data-tools/bin/python skills/data-acquisition-and-dataset-handling/pyarrow-format-conversion-starter/scripts/run_pyarrow_format_conversion.py --input skills/data-acquisition-and-dataset-handling/pyarrow-format-conversion-starter/examples/toy_matrix.tsv --parquet-out scratch/pyarrow/toy_table.parquet --summary-out scratch/pyarrow/toy_table_summary.json
Notes
- The example uses tab-separated input to keep the fixture readable in the repository.
- The summary records typed schema information so downstream checks do not need to parse Parquet directly.
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.
- 4d ago First seen · 28 lines · 0 tokens per session scan A 917224026f6c
pyarrow-format-conversion-starter is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (38 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 254 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 2026-08-30.
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