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/iml1s/agent-cli-skills/qwen-cli-agentnpx skills add ImL1s/agent-cli-skills --skill qwen-cli-agentgit clone --depth 1 https://github.com/ImL1s/agent-cli-skillsWrote 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/iml1s/agent-cli-skills/qwen-cli-agent)<a href="https://agentmods.dev/skills/iml1s/agent-cli-skills/qwen-cli-agent"><img src="https://agentmods.dev/badge/skills/iml1s/agent-cli-skills/qwen-cli-agent.svg" alt="Measured on agentmods" 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 | $0.00087 | $0.00467 |
| Opus 5 | $0.00044 | $0.00234 |
| Sonnet 5 | $0.00017 | $0.00093 |
| Haiku 4.5 | $0.00009 | $0.00047 |
Grade A, and why
qwen-cli-agent 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 6d 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.
What it actually says
Qwen Code CLI (qwen) Executor
When to use
- User wants qwen / Qwen Code as the coding agent
- Need Qwen
/agents, Agent tool parallel launches, orqwen reviewstyle workflows from a wrapper
Wrapper
./qwen-exec.sh -C /path/to/repo -t 1800s "Implement phase A. NO git."
./qwen-exec.sh -r -m qwen3.8-max-preview "Review this diff; do not edit."
./qwen-exec.sh -T -f /tmp/bundle.txt
Flags: -m (default qwen3.8-max-preview) · -t · -C · -o text|json|stream-json · -f ·
-r (sandbox + read-only guard) · -T subagent preamble · --no-git · -- passthrough.
No PTY needed. Text mode extracts final result via lib/parse_stream_json.py.
-C is absolutized before use.
Native multi-agent
- In-session:
/agentscreate/manage; Agent tool for parallel subagents (.qwen/agents/) - Review pipeline:
qwen review …(PR worktree, chunk plan, multi-agent prompts, submit) -Tasks the model to use Agent tool / configured subagents
Discipline
Exit code untrusted. Orchestrator owns git. On 429/quota: BLOCKED stub, no retry loop.
Models
Prefer ids from ~/.qwen/settings.json / qwen --help. Pin explicitly in automation.
What ships with it
4 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.
- 6d ago First seen · 44 lines · 87 tokens per session scan A adba48b0dcc9
qwen-cli-agent is a skill published in the GitHub repository ImL1s/agent-cli-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 467 once invoked, about $0.0004 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.
Other skills, from other repositories
agent-self-scheduling
Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.
agent-desktop
Use the built-in Computer sub-agent with agent-desktop for macOS desktop automation. Apply when a task needs application launching, accessibility snapshots, stable element refs, window focusing, semantic clicks/typing, or visual confirmation outside the browser sandbox.
gerador-soul
Gera um arquivo SOUL.md completo e estruturado para qualquer agente ou assistente de IA. Use esta skill SEMPRE que a pessoa usuária quiser criar um SOUL.md, definir a identidade de um agente, descrever a "alma" de um assistente, ou usar os gatilhos "/soul", "/soul.md" ou "gerar soul". Ative também quando a pessoa…
code-walkthrough
与用户共同阅读 Neeko 代码,逐层讲解 Tauri 应用架构与跨端数据流。支持三域分层模式(Rust 后端 / React 前端 / 跨端桥接)和调用链追踪模式(含跨端追踪)。主动发现 dead code、设计偏差、类型不一致、迁移遗漏,但不修改代码。Use when user wants to walkthrough code, understand architecture, trace call chains, review a module's structure, or says "过代码" / "walkthrough" / "walk me through" / "zoom out".
craque-neto
Faz análise de risco de projetos gritando a real, sem bajulação, no tom de voz do ex-jogador José Ferreira Neto, o 'Craque Neto', apresentador do 'Donos da Bola' (Band) e da 'Rádio Craque Neto'. A resposta é só a bronca do Neto: texto corrido de até 200 palavras, primeira pessoa, linguagem do povo, palavrão pesado…
tauri2-react-rust
Guides development of cross-platform desktop apps with Tauri 2, TypeScript, React, and Rust. Use when building Tauri apps, implementing IPC, designing Rust backend or TypeScript/React frontend, when researching or cloning a website (open site, snapshot elements), when verifying local dev or built frontend in browser…