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 loopgit 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/loop)<a href="https://agentmods.dev/skills/qwenlm/qwen-code/loop"><img src="https://agentmods.dev/badge/skills/qwenlm/qwen-code/loop/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/loop"><img src="https://agentmods.dev/badge/skills/qwenlm/qwen-code/loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 86 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00066 | $0.02444 |
| Opus 5.5 | $0.00026 | $0.00978 |
| Sonnet 5.5 | $0.00013 | $0.00489 |
| Haiku 4.5 | $0.00007 | $0.00244 |
Grade A, and why
loop scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/loop — run a prompt repeatedly
Subcommands
If the input (after stripping the /loop prefix) is exactly one of these keywords, run the subcommand instead of scheduling:
list— call CronList and display the results. Done.clear— call CronList, then call CronDelete for every job returned. Confirm how many were cancelled. Done.
Parsing
Parse the input after removing the /loop prefix:
- Empty input (no prompt, no interval): the autonomous path — run a self-paced autonomous loop. See the Autonomous mode section.
- Leading interval token: if the first whitespace-delimited token matches
^\d+[smhd]$(e.g.5m,2h), this is the fixed-interval recurring path. The rest is the prompt. - Trailing "every" clause: otherwise, if the input ends with
every <N><unit>orevery <N> <unit-word>(e.g.every 20m,every 5 minutes,every 2 hours), this is the fixed-interval recurring path. Extract that interval and strip it from the prompt. Only match when what follows "every" is a time expression —check every PRhas no interval. - Prompt-only input: otherwise, the entire input is the prompt and this is the prompt-only self-paced path.
If an interval was given but the prompt is empty (e.g. /loop 5m), this is a fixed-interval autonomous loop — see the Autonomous mode section.
Examples:
5m /babysit-prs→ fixed interval5m, prompt/babysit-prs(leading interval token)check the deploy every 20m→ fixed interval20m, promptcheck the deploy(trailing "every" clause)run tests every 5 minutes→ fixed interval5m, promptrun tests(trailing "every" clause)check every PR→ prompt-only self-paced path, promptcheck every PR("every" is not followed by a time expression)check the deploy→ prompt-only self-paced path, promptcheck the deploy- (empty) → self-paced autonomous loop (sentinel
<<autonomous-loop-dynamic>>) 5m→ fixed-interval autonomous loop (interval5m, sentinel<<autonomous-loop>>)
What ships with it
7 files 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.
- 1mo ago First seen · 115 lines · 66 tokens per session scan A fdccdc2f4de7
loop is a skill published in the GitHub repository QwenLM/qwen-code (28,528 stars, last pushed today), licensed Apache-2.0. It adds 66 tokens to every session and 2,444 once invoked, about $0.0003 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 2026-08-30.
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