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 skills/qwenlm/qwen-code/batchnpx skills add QwenLM/qwen-code --skill batchgit clone --depth 1 https://github.com/QwenLM/qwen-codeWhat 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 | $0.00037 | $0.02245 |
| Opus 5 | $0.00018 | $0.01123 |
| Sonnet 5 | $0.00007 | $0.00449 |
| Haiku 4.5 | $0.00004 | $0.00225 |
Grade A, and why
batch 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/batch - Parallel Batch Operations
You are orchestrating a batch operation across multiple files. Your job is to:
- Parse the user's request to understand the target files and operation
- Discover matching files using glob
- Split files into chunks for parallel processing
- Launch multiple worker agents to process files concurrently
- Aggregate results and present a summary
Step 1: Parse Intent and Discover Files
First, parse the user's request to identify:
- Target pattern: glob pattern for files (e.g.,
src/**/*.ts,**/*.js) - Operation: what to do with each file (e.g., "add JSDoc comments", "convert to TypeScript")
If the user didn't specify a pattern, infer it from context or ask for clarification.
Use the glob tool to discover matching files.
If no files match the pattern:
- Inform the user that no files were found for the given pattern
- Suggest checking the pattern or broadening the search scope
- Do not proceed with an empty batch
Apply these common exclusions automatically:
node_modules/**dist/**build/**.git/****/*.test.ts,**/*.test.js**/*.spec.ts,**/*.spec.js**/__tests__/****/test/**,**/tests/****/package-lock.json**/yarn.lock**/*.min.js- Binary files (images, fonts, etc.)
- Files larger than 500KB (check size if needed)
Important: If more than 50 files match, inform the user with the exact count and the file list, then proceed. The user can cancel (Ctrl+C) if needed. If the count exceeds 100 files, warn the user and suggest a more specific pattern instead of proceeding.
Step 2: Chunk Files for Parallel Processing
Split the discovered files into chunks based on these rules:
| Total Files | Chunk Count | Files Per Chunk |
|---|---|---|
| 1-5 | 1 | All files |
| 6-15 | 2 | 3-8 each |
| 16-30 | 3 | ~10 each |
| 31-50 | 4 | ~10-12 each |
| 51-75 | 5 | ~10-15 each |
| 76-100 | 5 | ~15-20 each |
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.
- 2d ago First seen · 311 lines · 37 tokens per session scan A 93c4cec71bf6
batch is a skill published in the GitHub repository QwenLM/qwen-code (27,559 stars, last pushed today), licensed Apache-2.0. It adds 37 tokens to every session and 2,245 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 2026-08-30.
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