batch-download

batch-download is a skill for Claude Code, Codex from serejaris/kimi-skills. It costs 111 tokens per session (3,026 once invoked), scanned A, original, MIT.

A workflow for finding, downloading, and checking multiple files or datasets from the web. It divides the work among parallel helpers, then combines and validates the collected files.

In plain words
What is it for?
Use it for batch report downloads, multi-source data collection, structured web scraping, and building a verified local archive of downloaded material.
Why use it?
Collecting many files manually is slow and makes it easy to miss, duplicate, or incorrectly save items. The workflow handles both known URLs and cases where targets must first be discovered.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it for batch report downloads, multi-source data collection, structured web scraping, and building a verified local archive of downloaded material.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/serejaris/kimi-skills/batch-download
Install

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.

Any agent
npx skills add serejaris/kimi-skills --skill batch-download
Clone the repo
git clone --depth 1 https://github.com/serejaris/kimi-skills

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 batch-download

README.md
[![agentmods](https://agentmods.dev/badge/skills/serejaris/kimi-skills/batch-download/github.svg)](https://agentmods.dev/skills/serejaris/kimi-skills/batch-download)
Your own site
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/batch-download"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/batch-download/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for batch-download

Your own site · 80×15
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/batch-download"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/batch-download.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,026 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00111 $0.03026
Opus 5 $0.00056 $0.01513
Sonnet 5 $0.00022 $0.00605
Haiku 4.5 $0.00011 $0.00303

Measured 11d ago against content hash f1628ae3bc72, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

batch-download 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 11d 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.

skills/batch-download/SKILL.md · 270 lines

How it starts

The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Batch Download

Orchestrate multi-agent batch discovery and retrieval: plan the task decomposition, delegate atomic subtasks to parallel sub-agents, gather and verify evidence, then integrate and validate all results into a structured deliverable. The Orchestrator coordinates — sub-agents execute.

Workflow Decision Tree

Determine the entry point based on user input:

User Query
  │
  ├─ Type A — Targets unknown (must search first)
  │   → Phase 1 (Plan) → Phase 2 (Search & Discovery)
  │     → Phase 3 (Parallel Download) → Phase 4 (Integrate & Validate)
  │
  ├─ Type B — Targets already provided (URLs / file list given)
  │   → Phase 1 (Plan) → Phase 2 (URL Validation & Pattern Discovery)
  │     → Phase 3 (Parallel Download) → Phase 4 (Integrate & Validate)
  │
  └─ Hybrid — Some targets known, some must be discovered
      → Phase 1 (Plan) → Phase 2 (Partial Search + Validation)
        → Phase 3 (Parallel Download) → Phase 4 (Integrate & Validate)

All types follow the same 1→2→3→4 sequence. The difference is Phase 2's scope: Type A performs full search, Type B validates known URLs and discovers patterns, Hybrid does both.

Phase 1: Task Decomposition (Orchestrator Only)

Goal: Break the user request into clear, atomic, verifiable subtasks before any execution.

Process:

  1. Restate the user's request in operational terms
  2. Identify the task type (Type A / Type B / Hybrid) based on whether target URLs are known
  3. Decompose into atomic subtasks:
    • Each subtask has one well-defined goal (e.g., "download report for 2021 from URL X")
    • Each subtask is independent where possible (to enable parallelization)
    • Each subtask has explicit success criteria (file type, size, content validation)
  4. For multi-dimensional requests (different years / regions / categories / file types / data sources), create one subtask per dimension
  5. Plan search subtasks explicitly (if Type A or Hybrid):
    • Do NOT assign "all search" to a single agent when multiple independent searches are possible
    • Parallelize partitionable search spaces: by year, by site, by category, by alphabet range, by region — each partition gets its own search sub-agent
    • Plan retry strategies: if a search attempt fails, plan alternative queries, sites, or filters as new subtasks rather than giving up
  6. If the search task is complex, split into multiple sequential stages (e.g., find index page → extract file links → validate → download)

Read the full file on GitHub · 270 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. 11d ago First seen · 270 lines · 111 tokens per session scan A f1628ae3bc72

Subscribe to this mod's changes

batch-download is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 111 tokens to every session and 3,026 once invoked, about $0.0006 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.

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