synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.
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/synthetic-sciences/openscience/bun-file-ionpx skills add synthetic-sciences/openscience --skill bun-file-iogit clone --depth 1 https://github.com/synthetic-sciences/openscienceWrote 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/synthetic-sciences/openscience/bun-file-io)<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/bun-file-io"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/bun-file-io.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 | $0.00049 | $0.00429 |
| Opus 5 | $0.00024 | $0.00215 |
| Sonnet 5 | $0.00010 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
bun-file-io 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 5d 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
Use this when
- Editing file I/O or scans in
backend/cli(the OpenScience CLI package) - Handling directory operations or external tools
Bun file APIs (from Bun docs)
Bun.file(path)is lazy; calltext,json,stream,arrayBuffer,bytes,existsto read.- Metadata:
file.size,file.type,file.name. Bun.write(dest, input)writes strings, buffers, Blobs, Responses, or files.Bun.file(...).delete()deletes a file.file.writer()returns a FileSink for incremental writes.Bun.Glob+Array.fromAsync(glob.scan({ cwd, absolute, onlyFiles, dot }))for scans.- Use
Bun.whichto find a binary, thenBun.spawnto run it. Bun.readableStreamToText/Bytes/JSONfor stream output.
When to use node:fs
- Use
node:fs/promisesfor directories (mkdir,readdir, recursive operations).
Repo patterns
- Prefer Bun APIs over Node
fsfor file access. - Check
Bun.file(...).exists()before reading. - For binary/large files use
arrayBuffer()and MIME checks viafile.type. - Use
Bun.Glob+Array.fromAsyncfor scans. - Decode tool stderr with
Bun.readableStreamToText. - For large writes, use
Bun.write(Bun.file(path), text).
Quick checklist
- Use Bun APIs first.
- Use
path.join/path.resolvefor paths. - Prefer promise
.catch(...)overtry/catchwhen possible.
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.
- 5d ago First seen · 40 lines · 49 tokens per session scan A 73524c673971
bun-file-io is a skill published in the GitHub repository synthetic-sciences/openscience (3,432 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 429 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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