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/launchergit 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/launcher)<a href="https://agentmods.dev/agents/amdresearch/ai4science-studio/launcher"><img src="https://agentmods.dev/badge/agents/amdresearch/ai4science-studio/launcher.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 | $0.02762 |
| Opus 5 | $0.00000 | $0.01381 |
| Sonnet 5 | $0.00000 | $0.00552 |
| Haiku 4.5 | $0.00000 | $0.00276 |
Grade A, and why
launcher scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
VM_VERSION=$(curl -fsSL https://api.github.com/repos/VictoriaMetrics/VictoriaMetrics/releases/latest | grep '"tag_name":' | sed -E 's/.*"([^"]+)".*/\1/') How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
launcher subagent
Submits a 2-node ORBIT-2 training (AMD Instinct MI355X) with PyTorch profiling and Omnistat user-mode telemetry, waits for completion, and writes manifest.json for downstream subagents.
Inputs
- The ai4science-studio repo checkout (
$REPO_ROOT). - Cluster config at
.cluster-config.yaml(partition/account, shared dirs). - Optional env-var overrides:
ORBIT2_BATCH_SIZE,HYDRAGNN_MAX_NUM_BATCH,ORBIT2_NUM_EPOCH,ORBIT2_PRECISION,PROFILE_TARGET_EPOCH.
Outputs
${PERF_TOOLS_DIR}/perf-inspect/— Python venv with omnistat (PR #271 + main merged) and TraceLens.${PERF_TOOLS_DIR}/victoriametrics/victoria-metrics-prod— VictoriaMetrics binary.$AI4S_SHARED_DIR/models/ORBIT-2/perf-runs/omnistat.config— Omnistat user-mode config.$AI4S_SHARED_DIR/models/ORBIT-2/perf-runs/<jobid>/manifest.json— manifest schema below.$AI4S_SHARED_DIR/models/ORBIT-2/perf-runs/<jobid>/orbit2-train-<jobid>.out— symlinked from output dir.$AI4S_SHARED_DIR/models/ORBIT-2/perf-runs/<jobid>/logs/— symlinked rank-0 trace.$AI4S_SHARED_DIR/models/ORBIT-2/perf-runs/<jobid>/omnistat-db/— VictoriaMetrics datadir.
Manifest schema
{
"jobid": "<int as str>",
"submitted_at": "ISO 8601 UTC",
"completed_at": "ISO 8601 UTC",
"exit_state": "COMPLETED|FAILED|TIMEOUT|...",
"nodes": 2,
"gpus_per_node": 8,
"ranks": 16,
"nodelist": "<node-a>,<node-b>",
"partition": "<partition>",
"account": "<account>",
"runtime_seconds": <float>,
"config_used": "<path to interm_8m_with_profile.json>",
"profile_target_epoch": <int>,
"trace_paths": ["<path to .pt.trace.json>"],
"omnistat_db_path": "<dir>",
"training_log_path": "<path>",
"perf_run_dir": "<dir>",
"hg_precision": "fp64",
"hg_batch_size": 200,
"hg_num_epoch": 2,
"orbit2_max_num_batch": 30,
"tools_versions": {
"omnistat_commit": "<sha>",
"tracelens_commit": "<sha>",
"victoriametrics_version": "<v>"
}
}
Steps
1. Lazy install tools (idempotent)
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.
- 3d ago First seen · 216 lines · 0 tokens per session scan A 32bf86c4796b
launcher 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 2,762 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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