Qwen Code is an open-source AI coding agent that runs in a terminal and helps developers work with code through language models. It supports multiple model providers and can also be used through IDEs, desktop software, SDKs, and messaging bots.
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 skills add QwenLM/qwen-code --skill workflow-authoringgit clone --depth 1 https://github.com/QwenLM/qwen-codeWrote 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/skills/qwenlm/qwen-code/workflow-authoring)<a href="https://agentmods.dev/skills/qwenlm/qwen-code/workflow-authoring"><img src="https://agentmods.dev/badge/skills/qwenlm/qwen-code/workflow-authoring/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.
<a href="https://agentmods.dev/skills/qwenlm/qwen-code/workflow-authoring"><img src="https://agentmods.dev/badge/skills/qwenlm/qwen-code/workflow-authoring.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00060 | $0.06625 |
| Opus 5.5 | $0.00024 | $0.02650 |
| Sonnet 5.5 | $0.00012 | $0.01325 |
| Haiku 4.5 | $0.00006 | $0.00662 |
Grade A, and why
workflow-authoring 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 9d 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 — 519 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow authoring reference
Everything below is about writing the script. Whether a workflow may run at all is decided by the Workflow tool's own opt-in rule — this reference does not authorize a run.
Reach for one to be comprehensive (decompose the work and cover every part in parallel), to be confident (independent perspectives and adversarial checks before an answer is committed to), or to take on scale a single context cannot hold — migrations, audits, broad sweeps. The script is where that structure is encoded: what fans out, what verifies, what synthesizes. Parallelism on its own is not a reason; work that is already one short sequence of edits belongs in the main loop.
Scout first, then orchestrate
The strongest pattern is hybrid: discover the work list in the main loop (list the files, scope the diff, read the failing test), then hand that list to a workflow. You do not need to know the shape of the work before the task — only before the orchestration step. When the work has distinct phases, run several small workflows across turns and read each result before choosing the next, rather than authoring one large script that runs unattended.
Common single-phase shapes: understand (parallel readers over subsystems,
merged into one map), design (independent approaches, judged, then
synthesized), review (dimensions, find, verify each finding), research (broad
sweep, deep read, synthesis), migrate (discover sites, transform each under
isolation: 'worktree', verify).
Script contract
The source is wrapped as an async IIFE, so top-level await and a top-level
return are both legal — and a trailing expression is not a return value.
End every successful path with an explicit return.
It is plain JavaScript, not TypeScript, and it cannot import anything. A
script with a dynamic import() anywhere in it — even in a branch that never
runs — is refused before it starts, so none of its agents runs first; do file,
network, and package work inside an agent instead.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago Changed · -1 lines b0fb6b662f3c
- 27d ago Changed · +21 lines d80cec207fd9
- 28d ago Changed · +2 lines 2ed0cc448c11
- 1mo ago Changed · +7 lines 99c5c1daae4b
- 1mo ago Changed · +6 lines 250c2320bd53
- 1mo ago Changed · +15 lines 3c4c32f31b0f
- 1mo ago Changed · +26 lines 6ac4d41d1b6c
- 1mo ago Changed · +32 lines 2d7d33f9ee1a
- 1mo ago First seen · 411 lines · 60 tokens per session scan A f45fd5de7df0
workflow-authoring is a skill published in the GitHub repository QwenLM/qwen-code (28,759 stars, last pushed today), licensed Apache-2.0. It adds 60 tokens to every session and 6,625 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-12.
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