Agent skill

Frozen Qwen Code Session Diagnosis

by QwenLM in QwenLM/qwen-code

Diagnoses other Qwen Code sessions on your machine that look frozen or slow, checking process state, CPU, memory, child processes and logs, and reports what it finds.

Apache-2.0Auto-check passedDevelopment

Install Frozen Qwen Code Session Diagnosis

skills CLI
$ npx skills add QwenLM/qwen-code --skill stuck -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install QwenLM/qwen-code stuck --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/QwenLM/qwen-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/src/skills/bundled/stuck .claude/skills/stuck && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
stuck
GitHub stars
28k
Token cost
~3k tokens
SKILL.md length
1,557 words
Files
1
Skills in repo
41
Repo updated
First seen
Licence
Apache-2.0

At a glance

Diagnoses other Qwen Code sessions on your machine that look frozen or slow, checking process state, CPU, memory, child processes and logs, and reports what it finds.

  • Works in 4 steps: Enumerate live sessions via the runtime… → List Qwen Code processes via ps… → For anything suspicious, gather more… → …
  • A Qwen Code session has stopped responding and you want to know why
  • SKILL.md covers What to look for, Argument validation, Investigation steps and Report, plus 1 more section
  • Calls jq and node

What it does

When another Qwen Code session seems frozen or very slow, the agent scans the machine's processes, leaving out its own, and recognizes Qwen Code by a script path in a qwen-code directory or a binary ending in `/qwen`, because the process name is just `node` or `bun`. Loose substring matching is avoided since it flags unrelated plugin tools.

Warning signs include CPU at 90 percent or more across two samples, uninterruptible sleep, stopped or zombie states, memory of 4GB or more, and hung child processes such as `git`, `node` or a shell. A quiet process in state S is read as a likely stalled HTTPS request to the model API and leads to a network check. An argument counts as a PID only when it is all digits; otherwise it is treated as a symptom description and never put into a shell command. The agent finishes with a diagnostic report.

When your agent uses it

  • A Qwen Code session has stopped responding and you want to know why
  • Spotting runaway CPU or memory use in a terminal coding agent
  • Checking whether a stalled session is waiting on a model API request

Example prompts

  • “Run /stuck on the Qwen Code session that has been frozen since this morning.”
  • “/stuck Qwen Code freezes whenever I paste a long prompt”
  • “One of my Qwen Code windows is using a lot of memory, find out why.”

Requirements

  • Linux or macOS with `ps` and `pgrep` available

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Enumerate live sessions via the runtime sidecar (preferred, reliable)
  2. List Qwen Code processes via ps (macOS/Linux) — used to enrich each live session with CPU/RSS/state/uptime, and to catch sessions that may…
  3. For anything suspicious, gather more context. If the process state alone explains the problem (T = accidentally stopped, Z = parent not…
  4. Consider a stack dump for a truly frozen process (advanced, optional)

What it can do on your machine

Read from SKILL.md and the folder at commit 6386bb2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq
    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Frozen Qwen Code Session Diagnosis loads about 3k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 1,557 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from QwenLM/qwen-code at commit 6386bb2, republished under its Apache-2.0 licence (© QwenLM). 1,557 words, ~3,025 tokens.

Download SKILL.mdSave it as .claude/skills/stuck/SKILL.md (or your agent's skills folder).
name
stuck
description
Diagnose frozen, stuck, or slow Qwen Code sessions on this machine. Scans for problematic processes, high CPU/memory usage, hung subprocesses, and debug logs. Use /stuck or /stuck <PID> to focus on a specific process.
argument-hint
[PID or symptom]

/stuck — diagnose frozen/slow Qwen Code sessions

The user thinks another Qwen Code session on this machine is frozen, stuck, or very slow. Investigate and present a diagnostic report.

What to look for

Scan for other Qwen Code processes (excluding the current one — exclude the PID you see running this prompt). Since Qwen Code is a Node.js CLI (#!/usr/bin/env node), the process name (comm column) is always node (or bun if run with Bun). Identify Qwen Code sessions by looking at the command column for a script path inside a directory whose name starts with qwen-code (matches qwen-code/, qwen-code-dev/, worktree clones, etc.) — anchored to the start of the path or after / so unrelated names like analyze-qwen-code/ don't false-match — or a bin invocation ending in /qwen (the global symlink). Avoid loose qwen-code substring matching: it false-positives on plugin brokers that merely pass a qwen-code path as --cwd.

Signs of a stuck session:

  • High CPU (>=90%) sustained — likely an infinite loop. Sample twice, 1-2s apart, to confirm it's not a transient spike.
  • Process state D / U (uninterruptible sleep) — often an I/O hang. Linux uses D, macOS/BSD uses U. The state column in ps output; first character matters (ignore modifiers like +, s, <).
  • Process state T (stopped) — user probably hit Ctrl+Z by accident.
  • Process state Z (zombie) — parent isn't reaping.
  • Very high RSS (>=4GB) — possible memory leak making the session sluggish.
  • State S with low CPU — the most common hang signature: a hung HTTPS request to the model API. Not a process-level red flag on its own, but combined with the user reporting "stuck", treat it as a strong signal to run the network check in step 3.
  • Stuck child process — a hung git, node, or shell subprocess can freeze the parent. Check pgrep -P <pid> (then ps -p for state — see step 3) for each session.

Argument validation

If the user gave an argument, treat it as a PID only if it consists entirely of digits 0-9. Anything else — letters, whitespace, punctuation — fails the check, in which case treat it as a free-text symptom description (guidance for the report only, never substituted into shell commands). The strict digit-only whitelist is safer than enumerating shell metacharacters.

Investigation steps

Preamble — resolve the runtime base directory. Required for both paths below (sidecar enumeration in step 1, debug log lookup in step 3, and the PID fast path). The base directory is taken from (in priority order): QWEN_RUNTIME_DIR env var, the advanced.runtimeOutputDir setting, QWEN_HOME env var, and finally ~/.qwen.

RUNTIME_DIR="${QWEN_RUNTIME_DIR:-}"
[ -z "$RUNTIME_DIR" ] && command -v jq >/dev/null && RUNTIME_DIR=$(jq -r '.advanced.runtimeOutputDir // empty' "${QWEN_HOME:-$HOME/.qwen}/settings.json" 2>/dev/null)
# `advanced.runtimeOutputDir` may be `~/...` or relative; mirror Storage.resolvePath() before using in globs
[ -n "$RUNTIME_DIR" ] && RUNTIME_DIR="${RUNTIME_DIR/#\~/$HOME}"
[ -n "$RUNTIME_DIR" ] && case "$RUNTIME_DIR" in /*) ;; *) RUNTIME_DIR="$(cd "$RUNTIME_DIR" 2>/dev/null && pwd)" || RUNTIME_DIR="" ;; esac
RUNTIME_DIR="${RUNTIME_DIR:-${QWEN_HOME:-$HOME/.qwen}}"

(If jq isn't installed, the settings layer is silently skipped — the env-var / default fallback covers the common case.)

Fast path for targeted diagnosis — if a digit-only PID argument was given, skip step 1 enumeration. Validate that the PID is a live current-user Qwen Code process before dumping any details:

kill -0 <pid> 2>/dev/null || { echo "PID <pid> is dead, or owned by another user"; exit 0; }
ps -p <pid> -o command= -ww 2>/dev/null | grep -qE '((^|/)qwen-code[^ /]*/[^ ]*\.(js|ts|mjs|cjs)( |$)|/qwen( |$))' || { echo "PID <pid> is yours but is not a Qwen Code process — refusing to dump details"; exit 0; }

If either guard prints, stop the diagnostic and surface the message verbatim. Otherwise, gather stats and the sidecar mapping, then jump to step 3:

ps -p <pid> -o pid=,pcpu=,rss=,etime=,state=,comm=,command= -ww
grep -El '"pid"[[:space:]]*:[[:space:]]*<pid>\b' "$RUNTIME_DIR"/projects/*/chats/*.runtime.json 2>/dev/null

Note: as in step 2, the command= column may include credentials passed as CLI args (e.g., --openai-api-key=sk-…). Redact such values to *** before quoting them in the report.

-E is required so \b is interpreted as word boundary (BSD grep without -E treats \b as a backspace character, silently returning nothing on macOS). The -l flag returns the matching sidecar file path; the basename (stripped of .runtime.json) is the session ID for step 3's debug log read. If multiple sidecars match (rare — happens only after PID reuse leaves a stale file), prefer the most recently modified one: ls -t <matches> | head -n 1.

Otherwise (no arg, or symptom-only arg), run the general path below:

  1. Enumerate live sessions via the runtime sidecar (preferred, reliable):

    Qwen Code writes a runtime.json sidecar for each interactive session at "$RUNTIME_DIR"/projects/<sanitized-cwd>/chats/<sessionId>.runtime.json. Each file contains {schema_version, pid, session_id, work_dir, hostname, started_at, qwen_version} — the authoritative source of (pid, session_id, work_dir) mappings.

    Filter to live (pid, sidecar-path) pairs in one shot. Use Node (guaranteed available — qwen-code requires it) instead of jq (often missing on default macOS / minimal Linux) so this path doesn't silently degrade:

    node -e 'const fs=require("fs"); for (const f of process.argv.slice(1)) { try { const p=JSON.parse(fs.readFileSync(f,"utf8")).pid; if (p) { try { process.kill(p,0); console.log(p+" "+f); } catch {} } } catch {} }' "$RUNTIME_DIR"/projects/*/chats/*.runtime.json 2>/dev/null

    PID reuse is rare but possible — when you cross-reference with ps in step 2, skip pairs whose live PID's command line no longer looks like a Qwen Code process.

    If the command emits nothing (no sidecars, or no live PIDs), fall through to step 2 — ps is the working fallback.

  2. List Qwen Code processes via ps (macOS/Linux) — used to enrich each live session with CPU/RSS/state/uptime, and to catch sessions that may have started before the sidecar feature existed:

    ps -xo pid=,pcpu=,rss=,etime=,state=,comm=,command= -u "$(id -u)" -ww | grep -E '((^|/)qwen-code[^ /]*/[^ ]*\.(js|ts|mjs|cjs)( |$)|/qwen( |$))' | grep -v grep

    -u "$(id -u)" restricts the scan to the current user — on shared hosts this avoids exposing other users' Qwen process paths/arguments into the chat. -ww disables column truncation so long "qwen" paths aren't cut off. The comm column will be node or bun, not qwen; filter to rows where the command column contains a qwen path (e.g., qwen-code/dist/cli.js, or a bin symlink ending in /qwen). Cross-reference with the PIDs from step 1.

    Note: ps reports rss in kilobytes on both macOS and Linux. To report in MB, divide by 1024; to report in GB, divide by 1048576. The 4GB threshold is 4194304 KB — compare the raw rss value against that, or compare the GB value against 4. Do not divide once and then compare against 4; that would flag every process >4MB as "very high RSS".

    Note: full command lines may contain credentials passed as CLI args (e.g., --openai-api-key=sk-…). Redact such values to *** before quoting them in the report.

  3. For anything suspicious, gather more context. If the process state alone explains the problem (T = accidentally stopped, Z = parent not reaping), skip directly to the report — child / log / stack inspection adds nothing. Otherwise:

    • Child processes (with state, so a hung git / node shows up): CHILDREN=$(pgrep -P <pid> | tr '\n' ',' | sed 's/,$//'); [ -n "$CHILDREN" ] && ps -p "$CHILDREN" -o pid=,ppid=,pcpu=,state=,etime=,command= -ww. Single ps call (avoids forking one per child) and -ww so long child command lines aren't truncated.
    • If high CPU: sample again after 1-2s to confirm it's sustained
    • Network hang — if CPU is low and state is S despite the user reporting "stuck", the most likely cause is a hung HTTPS request to the model API. macOS: lsof -nP -i -p <pid> 2>/dev/null | head -20 (the -nP flags skip reverse-DNS and port lookups, which can themselves hang). If lsof itself feels slow, prefix with timeout 10 (or gtimeout 10 on macOS with Homebrew coreutils). Linux: ss -tnp 2>/dev/null | grep "pid=<pid>,". Note that ss -tnp's -p requires root or CAP_NET_ADMIN — without it, the PID column shows - and the grep returns empty. If you see no matches but ss -t 2>/dev/null does show ESTABLISHED sockets, fall back to lsof -nP -i -p <pid> rather than reporting "no connections". A long-lived ESTABLISHED connection to a model host (dashscope, openai, anthropic, etc.) with no recent traffic is the smoking gun.
    • Debug log — start with "$RUNTIME_DIR"/debug/latest (symlink to the most recent session); if it matches the suspicious PID's session, that's usually the right one. Otherwise infer the session ID from the sidecar and read "$RUNTIME_DIR"/debug/<session-id>.txt. Bound the read with tail -n 200 <path> — debug logs can be GB-sized. The last few hundred lines typically show what the session was doing before hanging. Debug logs may contain prompts, file contents, or tokens from other sessions — paste only lines relevant to the hang, and never quote secrets/API keys you happen to see.
  4. Consider a stack dump for a truly frozen process (advanced, optional):

    • macOS: sample <pid> 3 gives a 3-second native stack sample. If sample itself seems to hang (the target's Mach task port may be wedged on a kernel-level freeze), wrap it: timeout 15 sample <pid> 3 (or gtimeout 15 ... on Homebrew coreutils). Stack frames may include function arguments containing API keys or tokens held in memory — redact such values to *** before including the dump in the report.
    • Linux: cat /proc/<pid>/stack for kernel stack (read-only, no ptrace permissions needed). Avoid strace -p for this purpose: it requires CAP_SYS_PTRACE (often denied under kernel.yama.ptrace_scope=1), and strace -c blocks until the target exits — it would hang on the very kind of stuck process you are diagnosing.
    • This is big — only grab it if the process is clearly hung and you want to know why
Show full SKILL.md (194 more words)Show less

Report

Present a structured diagnostic report directly to the user with these sections:

For each stuck/slow session found:

  • PID, CPU%, RSS (in MB), process state, uptime, full command line
  • Child processes and their states
  • Your diagnosis of what's likely wrong
  • Relevant debug log tail if you captured it
  • Stack dump output if you captured it
  • Suggested next step for the user to decide (e.g., "user may consider kill <pid> if the session is unresponsive", "likely waiting on I/O — check disk", "accidentally stopped — user can resume with kill -CONT <pid>"). Do not execute these actions yourself — present them as options for the user.

If every session looks healthy, tell the user directly — no diagnostic dump needed. Mention how many sessions you checked and that none showed signs of being stuck.

If no sessions are found at all (zero sidecars and zero matching ps rows), say so explicitly: which RUNTIME_DIR you searched and that ps returned no qwen-related processes for the current user. Suggest the session may have already exited.

Notes

  • Don't kill or signal any processes — this is diagnostic only.
  • If the user gave an argument (e.g., a specific PID or symptom), focus there first.

© QwenLM, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/core/src/skills/bundled/stuck of QwenLM/qwen-code.

Open the folder on GitHubat commit 6386bb2

Compare with similar skills

Frozen Qwen Code Session Diagnosis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Frozen Qwen Code Session Diagnosis compared with similar skills
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Root Cause Debugginggarrytan/gstack136k—~1.4kAutomated safety check: PassMIT
Graph-Based Bug Tracingtirth8205/code-review-graph32k1 repos~287Automated safety check: PassMIT
Systematic DebuggingChrisWiles/claude-code-showcase6.1k3 repos~1.2kAutomated safety check: PassNone

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Works with

Categories

Questions about Frozen Qwen Code Session Diagnosis

What does Frozen Qwen Code Session Diagnosis do?

Diagnoses other Qwen Code sessions on your machine that look frozen or slow, checking process state, CPU, memory, child processes and logs, and reports what it finds. When another Qwen Code session seems frozen or very slow, the agent scans the machine's processes, leaving out its own, and recognizes Qwen Code by a script path in a qwen-code directory or a binary ending in `/qwen`, because the process name is just `node` or `bun`. Loose substring matching is avoided since it flags unrelated plugin tools.

When should I use Frozen Qwen Code Session Diagnosis?

Frozen Qwen Code Session Diagnosis fits situations like: A Qwen Code session has stopped responding and you want to know why; spotting runaway CPU or memory use in a terminal coding agent; checking whether a stalled session is waiting on a model API request.

How do I install Frozen Qwen Code Session Diagnosis in Claude Code?

Run `npx skills add QwenLM/qwen-code --skill stuck -a claude-code`. Or copy the skill folder (packages/core/src/skills/bundled/stuck in QwenLM/qwen-code) into .claude/skills/stuck in your project. Claude Code loads it when a task matches its description.

How do I install Frozen Qwen Code Session Diagnosis in Codex?

Run `npx skills add QwenLM/qwen-code --skill stuck -a codex`. Or copy the skill folder (packages/core/src/skills/bundled/stuck in QwenLM/qwen-code) into .agents/skills/stuck in your project. Codex loads it when a task matches its description.

Can I use Frozen Qwen Code Session Diagnosis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add QwenLM/qwen-code --skill stuck -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stuck, .gemini/skills/stuck, .github/skills/stuck and .opencode/skills/stuck in your project.

What does Frozen Qwen Code Session Diagnosis need to run?

Going by SKILL.md and its folder, Frozen Qwen Code Session Diagnosis needs the command-line tools its instructions call (jq and node). Our summary lists: Linux or macOS with `ps` and `pgrep` available.

Does Frozen Qwen Code Session Diagnosis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Frozen Qwen Code Session Diagnosis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Frozen Qwen Code Session Diagnosis use?

Frozen Qwen Code Session Diagnosis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Frozen Qwen Code Session Diagnosis use?

About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Frozen Qwen Code Session Diagnosis?

Skills that share tags, products or a category with Frozen Qwen Code Session Diagnosis: OpenLogi macOS Permissions Triage (AprilNEA/OpenLogi, 23k stars), Bug Finder for daisyUI (saadeghi/daisyui, 43k stars), Root Cause Debugging (garrytan/gstack, 136k stars) and Graph-Based Bug Tracing (tirth8205/code-review-graph, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Frozen Qwen Code Session Diagnosis?

QwenLM (a GitHub organization) maintains it in QwenLM/qwen-code, which has 28,397 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 10, 2026.

Source: QwenLM/qwen-code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.