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 commands/smart-ai-memory/attune-ai/bulkgit clone --depth 1 https://github.com/Smart-AI-Memory/attune-aiWrote 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/commands/smart-ai-memory/attune-ai/bulk)<a href="https://agentmods.dev/commands/smart-ai-memory/attune-ai/bulk"><img src="https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/bulk.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 | $0.00011 | $0.00655 |
| Opus 5 | $0.00005 | $0.00328 |
| Sonnet 5 | $0.00002 | $0.00131 |
| Haiku 4.5 | $0.00001 | $0.00065 |
Grade A, and why
bulk 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bulk
Batch API processing — submit tasks for asynchronous execution at 50% cost savings via the Anthropic Batch API.
Batch requests are processed within 24 hours. Use this for non-urgent, high-volume tasks where cost matters more than latency.
Quick Shortcuts
| Shortcut | Action |
|---|---|
/bulk submit <tasks> |
Submit tasks for batch processing |
/bulk status <id> |
Check status of a running batch |
/bulk results <id> |
Retrieve completed batch results |
/bulk wait <id> |
Wait for a batch to complete |
Natural Language
Describe what you need:
- "submit these files for bulk review"
- "check my batch status"
- "get the results from my last batch"
- "process these tasks in bulk"
CRITICAL: Workflow Execution Instructions
When this command is invoked with arguments, you MUST execute the workflow, not answer ad-hoc.
Shortcut Routing (EXECUTE THESE)
| Input | Action |
|---|---|
/bulk submit |
Collect tasks, submit via Anthropic Batch API |
/bulk status <id> |
Query batch status and show progress |
/bulk results <id> |
Fetch and display completed results |
/bulk wait <id> |
Poll until batch completes, then show results |
Natural Language Routing (EXECUTE THESE)
| Pattern | Action |
|---|---|
| "submit", "queue", "process", "bulk" | Submit batch |
| "status", "progress", "check" | Check batch status |
| "results", "output", "completed" | Get batch results |
| "wait", "block", "until done" | Wait for completion |
IMPORTANT: When arguments are provided, DO NOT just display documentation. EXECUTE the action.
How It Works
- Tasks are serialized and sent to the Anthropic Batch API
- Processing happens asynchronously (up to 24 hours)
- Cost is 50% less than synchronous API calls
- Results are retrieved when processing completes
CLI Reference
uv run attune bulk submit --tasks <file>
uv run attune bulk status --id <batch_id>
uv run attune bulk results --id <batch_id>
uv run attune bulk wait --id <batch_id>
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 · 91 lines · 11 tokens per session scan A 06b83a114e73
bulk is a command published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 11 tokens to every session and 655 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
Other commands, from other repositories
ship-and-babysit
Commit, push to origin (fork), open PR to tinyhumansai/openhuman:main, then poll every 5min for CodeRabbit comments and CI failures, resolve them, and exit when clean.
agentos-status
Show AgentOS system status — agents, workers, health.
council-sweep
Walk the configured watch paths and run Council on every artifact modified in the last N hours (default 24h).
orchestrate
Orchestrate a complex multi-step task using the multi-agent system.
pm-competitive
Competitive teardown — for a given competitor or for the whole landscape around a JTBD. Spawns market-analyst. Outputs structured brief with positioning gaps.
pm-burn
Cost burn-rate — LLM cost over the last N days vs a human-equivalent baseline (savingsx). Flags cost outliers and abnormal-burn agents.