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 rules/amdresearch/ai4science-studio/docker-scriptsgit clone --depth 1 https://github.com/AMDResearch/ai4science-studioWhat 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 | $0.00479 |
| Opus 5 | $0.00000 | $0.00239 |
| Sonnet 5 | $0.00000 | $0.00096 |
| Haiku 4.5 | $0.00000 | $0.00048 |
Grade A, and why
docker-scripts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Docker launch script conventions
When creating or editing docker_run.sh under any model's examples/ directory:
Required patterns
-
AMD Container Toolkit detection — Auto-detect
--runtime=amdvs raw device passthrough:GPU_ARGS=() if docker info 2>/dev/null | grep -qi "amd"; then GPU_ARGS=(--runtime=amd -e AMD_VISIBLE_DEVICES=all) else GPU_ARGS=(--device=/dev/kfd) for dev in /dev/dri/renderD*; do [[ -e "$dev" ]] && GPU_ARGS+=(--device="$dev") done GPU_ARGS+=(--group-add video) fi -
Existing container check — Before creating a new container, check if one already exists:
if docker ps -a --format '{{.Names}}' | grep -qx "$CONTAINER_NAME"; then echo "Container '$CONTAINER_NAME' already exists. Attach with: docker exec -it $CONTAINER_NAME bash" exit 0 fi -
Auto-clone upstream — If the model depends on an upstream repo, clone it automatically if absent:
if [[ ! -d "$WORKSPACE_DIR/<repo>" ]]; then git clone https://github.com/<org>/<repo>.git "$WORKSPACE_DIR/<repo>" fi -
Mode argument — Support at least
inference,shell, andstopmodes via a positional argument. -
Env vars: never clobber via
-e— Only usedocker run -efor variables you are introducing. Append toLD_LIBRARY_PATH,PYTHONPATH,PATHinside the container script, not via-e. -
Use the canonical ROCm image —
rocm/pytorch:rocm7.2.2_ubuntu24.04_py3.12_pytorch_release_2.10.0unless upstream requires a specific version.
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.
- yesterday First seen · 47 lines · 0 tokens per session scan A 1b2016c9ffde
docker-scripts is a cursor rule published in the GitHub repository AMDResearch/ai4science-studio (4 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 479 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.
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