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.
Borrowing it
Nothing to install: this file belongs to synthetic-sciences/openscience. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/synthetic-sciences/openscience/main/CLAUDE.mdgit 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/instructions/synthetic-sciences/openscience/claude-md)<a href="https://agentmods.dev/instructions/synthetic-sciences/openscience/claude-md"><img src="https://agentmods.dev/badge/instructions/synthetic-sciences/openscience/claude-md/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/instructions/synthetic-sciences/openscience/claude-md"><img src="https://agentmods.dev/badge/instructions/synthetic-sciences/openscience/claude-md.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 | $0.02093 | $0.02093 |
| Opus 5.5 | $0.00837 | $0.00837 |
| Sonnet 5.5 | $0.00419 | $0.00419 |
| Haiku 4.5 | $0.00209 | $0.00209 |
Grade A, and why
openscience CLAUDE.md 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 1mo 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md: OpenScience
Read AGENTS.md first: repository map, commands, conventions, and the CI/release
rules. This file keeps the product facts and the prompt-architecture guide that
help when the shipped agent misbehaves.
Product facts
OpenScience (openscience) is an open-source, model-agnostic AI research agent for ML engineering and scientific work. Built with Bun and TypeScript, it ships as native binaries for Linux, macOS, and Windows.
- npm package:
@synsci/openscience - Binary name:
openscience - Config dir:
~/.config/openscience/(override withOPENSCIENCE_CONFIG_DIR) - Data root:
~/.openscience/by default (relocatable; legacysynscdata imports automatically) - Config file:
openscience.json - Provider ID:
synsci(Atlas wire contract, do not rename)
Prompt architecture
In this guide, src/... paths are relative to backend/cli; prompt paths such as
agent/prompt/... and session/prompt/... are relative to backend/cli/src.
The Research loop is shared across providers. Prompt selection, scientific context, model options and API serialization are separate steps. The harness is OpenCode's Build path with science in skills, agents, headers and a few switchable units; the loop itself knows nothing about science, deliverables or budgets.
Agent registry + selected model + current user message
-> agent prompt, otherwise the model-family header with the science block
-> environment (+ harness env lines), project instructions, core-skills index, posture reminder
-> system-transform plugin, then parameter/header hooks
-> provider message/tool normalization and inference options
-> provider API
-> on a final answer or a tripped guard, the harness units may continue or redirect
Header selection
LLM.prompts in src/session/llm.ts selects an explicit agent.prompt first.
An agent without one (research, plan) receives the model-family header:
SystemPrompt.provider(model) in src/session/system.ts routes by wire model
id in OpenCode's order (gpt-4/o1/o3 and other gpt → gpt.txt;
gpt-6/astra → gpt-astra.txt; codex → codex.txt; gemini- →
gemini.txt; claude → anthropic.txt; otherwise default.txt). Each family
file carries one {{SCIENCE}} slot that the runtime fills with
agent/prompt/science.txt (Evidence and files; Methods and deliverables;
Manuscripts and figures), so the science text is byte-identical across
families. session/prompt/response.txt is appended to every header.
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.
- 1mo ago Changed · +7 lines · +133 tokens per session 9a7a18523da8
- 1mo ago Changed · +10 lines · +319 tokens per session 892875c9774b
- 1mo ago Changed · +39 lines · +360 tokens per session faf6bb1abcb3
- 2mo ago Changed · -32 lines · -151 tokens per session 0de248d6d9c5
- 2mo ago Changed bb3cb11bee07
- 2mo ago First seen · 131 lines · 1,432 tokens per session scan A 7f389c736bc2
openscience CLAUDE.md is an instructions file published in the GitHub repository synthetic-sciences/openscience (4,348 stars, last pushed 2d ago), licensed Apache-2.0. It adds 2,093 tokens to every session, about $0.0084 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 2026-08-30.
openscience CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| openscience CLAUDE.mdsynthetic-sciences/openscience | Instructions file | 4.3k | 2d ago | Apache-2.0 | A | 2,093 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |