Borrowing it
Nothing to install: this file belongs to AMDResearch/ai4science-studio. 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/AMDResearch/ai4science-studio/main/AGENTS.mdgit clone --depth 1 https://github.com/AMDResearch/ai4science-studioWrote 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/amdresearch/ai4science-studio/agents-md)<a href="https://agentmods.dev/instructions/amdresearch/ai4science-studio/agents-md"><img src="https://agentmods.dev/badge/instructions/amdresearch/ai4science-studio/agents-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/amdresearch/ai4science-studio/agents-md"><img src="https://agentmods.dev/badge/instructions/amdresearch/ai4science-studio/agents-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 | $0.00720 | $0.00720 |
| Opus 5.5 | $0.00288 | $0.00288 |
| Sonnet 5.5 | $0.00144 | $0.00144 |
| Haiku 4.5 | $0.00072 | $0.00072 |
Grade A, and why
ai4science-studio AGENTS.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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent entry point (Cursor, Claude Code, Codex, and similar)
AI4Science Studio is an agent-first recipe collection. There is no application build for the science models themselves — the contract is YAML manifests plus scripts.
Read first
- Root
models.yaml— generated index of every model. Do not edit by hand; change<domain>/models/<slug>/model.yamland runmake fix. <domain>/models/<slug>/model.yaml— source of truth (HF id, license, recipes, env vars, hardware).- This file, then domain skills under
.cursor/skills/.
Layout
models.yaml
<domain>/models/<slug>/{model.yaml,README.md,recipes/,examples/}
Domains: earth_science/, material_science/, protein_folding/, healthcare/, physics_simulation/.
protein_folding/ is an empty placeholder until a model is added — keep the domain.
Validation (run this after any manifest or examples/ change)
make check # schema, index, scripts (bash -n + shellcheck errors), docs, preflight --dry-run
make check-fast # schema + index only (pre-commit)
make fix # regenerate models.yaml from */models/*/model.yaml
make check does not pull container images. It only checks that container_image looks like name:tag or *.sif. Install shellcheck for local error-severity lint (CI installs it).
Validators live in tools/ai4s_validate/ and return structured findings (importable). Future agent evals under evals/ should grade by calling the same library, not by scraping logs.
Adding a model
- Copy
_template/to<domain>/models/<slug>/. - Fill
README.mdandmodel.yaml(include a shortsummaryfor the generated index). - Add recipes and
examples/scripts (docker_run.sh,run_*,preflight_*.pywith--dry-run,sbatch_*_amd.sh). - Run
make fix && make check. - Do not commit checkpoints, datasets, or secrets.
Conventions
- Hugging Face id
org/model→ directoryorg__model, unless a public name is documented in the model README. - No site-specific paths, partitions, node lists, or job IDs in committed
examples/orrecipes/.make checkflags/shared/<user>,/home/<user>,#SBATCH --partition=that is notYOUR_*, and strings that look like recorded SLURM job ids. Site values belong in gitignored.cluster-config.yaml. - Healthcare content is research/engineering only — no PHI, no clinical claims.
- Capture lessons in
.cursor/skills/(SKILL.mdfor triggers,reference/for long HPC notes) and a rule if the mistake is procedural.
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 · +2 lines · +86 tokens per session fc0ed205b622
- 1mo ago First seen · 51 lines · 634 tokens per session scan A 5839a31157fe
ai4science-studio AGENTS.md is an instructions file published in the GitHub repository AMDResearch/ai4science-studio (4 stars, last pushed yesterday), licensed MIT. It adds 720 tokens to every session, about $0.0029 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 2026-09-18.
ai4science-studio AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai4science-studio AGENTS.mdAMDResearch/ai4science-studio | Instructions file | 4 | yesterday | MIT | A | 720 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | 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 | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |