attune-ai: Skill for Claude Code

.agents/skills/bulk/SKILL.md

bulk is a skill for Claude Code, Codex from Smart-AI-Memory/attune-ai. It costs 44 tokens per session (812 once invoked), scanned A, original, Apache-2.0.

A method for sending many independent analyses to a batch service for lower cost, with results arriving asynchronously and potentially taking up to 24 hours. Batch processing means grouping work that does not need an immediate answer.

In plain words
What is it for?
It helps process many files, modules, or other task inputs in one batch, such as repeated log analysis or similar independent jobs.
Why use it?
It suits large, non-urgent workloads when waiting is acceptable and running each task interactively would cost more.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is Smart-AI-Memory/attune-ai's own configuration. It tells Claude Code and Codex how to work on attune-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything attune-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Smart-AI-Memory/attune-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Smart-AI-Memory/attune-ai/main/.agents/skills/bulk/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Smart-AI-Memory/attune-ai

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for bulk

README.md
[![agentmods](https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/bulk.svg)](https://agentmods.dev/skills/smart-ai-memory/attune-ai/bulk)
Your own site
<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/bulk"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/bulk.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 812 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.00812
Opus 5 $0.00022 $0.00406
Sonnet 5 $0.00009 $0.00162
Haiku 4.5 $0.00004 $0.00081

Measured yesterday against content hash 9c468c796c09, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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.

.agents/skills/bulk/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bulk Batch Processing

IMPORTANT: Start your response with a context preamble.

Call help_lookup(topic="bulk", mode="preamble") and display the returned preamble text as a blockquote. Then tell the user they can say "tell me more" for a step-by-step guide, or answer the scoping questions below to proceed.

If the MCP call fails, fall back to:

Bulk — Submits tasks to the Anthropic Batch API for 50% cost savings. Runs asynchronously (up to 24h), so it's ideal for non-urgent, high-volume analysis rather than interactive work.

Scoping

Before submitting, ask:

  1. What to batch: "Which tasks should I batch — e.g. a workflow run across many files, or many independent analyses?"
  2. How many / which targets: "List the items (files, modules, or task inputs) to process."
  3. Urgency check: "Batch results take up to 24h. Is non-urgent turnaround acceptable? If you need it now, run the single-shot workflow instead."

Execution

Shared command workspace (preferred)

Open adapter bulk with either the provider-ready requests list or an existing batch_id. Present the widget or returned Markdown. New submissions must consume the bound, explicitly confirmed submit_batch action before calling analyze_batch; a reconnect uses the read-only check_batch action. Publish the real provider response as submission_result or status_result. Only a response with the exact accepted task count and a non-empty batch id may render as submitted. Rejections and timeouts must render “did not submit” (or “did not complete” for status), never a synthetic batch id. Preserve the same decision and receipt in compact text when the shared tools are unavailable.

The workspace status receipt completes the interactive invocation; pending does not mean the remote work completed. Reinvoke later with the returned batch_id to reconnect.

Call the analyze_batch MCP tool with a requests array, one entry per task:

analyze_batch(requests=[
  {"task_id": "<unique-id>", "task_type": "<e.g. analyze_logs>",
   "input_data": {...}, "model_tier": "capable"},
  ...
])

Read the full file on GitHub · 86 lines

Changes

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.

  1. yesterday Changed 9c468c796c09
  2. 3d ago Changed · +16 lines 2af5c4804a34
  3. 6d ago First seen · 70 lines · 44 tokens per session scan A 6c4bb2230671

Subscribe to this mod's changes

bulk is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 44 tokens to every session and 812 once invoked, about $0.0002 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 2026-08-31.