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 agents/amdresearch/ai4science-studio/lever_pickergit 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/agents/amdresearch/ai4science-studio/lever_picker)<a href="https://agentmods.dev/agents/amdresearch/ai4science-studio/lever_picker"><img src="https://agentmods.dev/badge/agents/amdresearch/ai4science-studio/lever_picker.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 | $0.00478 |
| Opus 5 | $0.00000 | $0.00239 |
| Sonnet 5 | $0.00000 | $0.00096 |
| Haiku 4.5 | $0.00000 | $0.00048 |
Grade A, and why
lever_picker 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
lever_picker subagent — ORBIT-2
Same contract as material_science/models/HydraGNN/recipes/perf-optimizer-loop/agents/lever_picker.md with these substitutions:
Inputs
loop-<uuid>/foms.csv,do_not_retry.json,iter-*-lever.json.<current_best>/combined_report.md,<current_best>/foms.json, optionalkernel_correlation.csv.../lever_catalog.yaml.
Outputs
loop-<uuid>/iter-<N>-lever.json— catalog entry +picked_by,reason.- Final stdout:
STATUS=ok; reason=lever=<id>orSTATUS=partial; reason=catalog_exhausted.
Decision deltas (vs HydraGNN)
- Primary FOM: maximize
throughput_samples_per_sfrom ORBITfoms.json(notepoch_time_s). When comparing to previous best,delta_pct = (best_throughput - new_throughput) / best_throughput * 100for regression detection or invert for improvement — orchestrator owns the sign; you report evidence againstthroughputandsteady_batch_time_s. - Blocked levers: skip any with
status: blockedin the catalog (same as HydraGNN). - Bottleneck alignment:
dataloader/ host I/O →num_workers_8(+2)gpu_computelow BF16 MFMA →torch_compile_edm,sdpa_efficient_vs_math(+2)comm_xgmihigh →fsdp_prefetch_tuning(+1); at N≥4 considernccl_minchannels
- fp32 discriminator gate: only pick
precision_fp32_discriminatorwhencombined_report.mdor pitfall doc requests compute-vs-memory classification.
Hallucination guardrails
- Never invent a lever; use
lever_proposal-<N>.md+STATUS=partial; reason=catalog_proposallike HydraGNN. - Cite paths to
combined_report.md/foms.jsoninreason.
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 · 30 lines · 0 tokens per session scan A e1396f930b69
lever_picker is an agent 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 478 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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