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Prismer Node Inspect Debugger

OrganizationPopular
Prismer-AI
prismer-node-inspect-debugger

Debug Node.js via --inspect + Chrome DevTools Protocol CLI.

Overview

PublisherPrismer-AI
RepositoryPrismerCloud
Skill nameprismer-node-inspect-debugger
Stars
1.6K
Forks
17
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Prismer-AI on GitHub. Read the source before you install it.

Installation

Install the Prismer Node Inspect Debugger AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-node-inspect-debugger
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git /tmp/PrismerCloud
mkdir -p .claude/skills
cp -r /tmp/PrismerCloud/sdk/cloud/catalog/skills/prismer-node-inspect-debugger .claude/skills/prismer-node-inspect-debugger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prismer Node Inspect Debugger in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prismer Node Inspect Debugger on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prismer Node Inspect Debugger is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Prismer execution contract

This is the uniquely named prismer-node-inspect-debugger skill, adapted from Hermes. Use the actual tools exposed by the executing host; examples using terminal, process, delegate_task, vision_analyze or browser_* are not tool registrations. Missing dependencies do not hide this skill. Report command startup, version, account/permissions and task-specific live verification separately. Use task-owned artifact paths and existing user authorization; do not change shared accounts, Runtime/provider configuration, global security settings or unrelated work. See NOTICE.md and LICENSE for resource provenance. Runtime availability and upstream-entry suppression are owned by the integration layer.

Node.js Inspect Debugger

Overview

When console.log isn't enough, drive Node's built-in V8 inspector programmatically from the terminal. You get real breakpoints, step in/over/out, call-stack walking, local/closure scope dumps, and arbitrary expression evaluation in the paused frame.

Two tools, pick one:

  • node inspect — built-in, zero install, CLI REPL. Best for quick poking.
  • ndb / CDP via chrome-remote-interface — scriptable from Node/Python; best when you want to automate many breakpoints, collect state across runs, or debug non-interactively from an agent loop.

Prefer node inspect first. It's always available and the REPL is fast.

When to Use

  • A Node test fails and you need to see intermediate state
  • ui-tui crashes or behaves wrong and you want to inspect React/Ink state pre-render
  • tui_gateway child processes (_SlashWorker, PTY bridge workers) misbehave
  • You need to inspect a value in a closure that console.log can't reach without patching
  • Perf: attach to a running process to capture a CPU profile or heap snapshot

Don't use for: things console.log solves in under a minute. Breakpoint-driven debugging is heavier; use it when the payoff is real.

Quick Reference: node inspect REPL

Launch paused on first line:

bash
node inspect path/to/script.js
# or with tsx
node --inspect-brk $(which tsx) path/to/script.ts

The debug> prompt accepts:

CommandAction
c or contcontinue
n or nextstep over
s or stepstep into
o or outstep out
pausepause running code
sb('file.js', 42)set breakpoint at file.js line 42
sb(42)set breakpoint at line 42 of current file
sb('functionName')break when function is called
cb('file.js', 42)clear breakpoint
breakpointslist all breakpoints
btbacktrace (call stack)
list(5)show 5 lines of source around current position
watch('expr')evaluate expr on every pause
watchersshow watched expressions
repldrop into REPL in current scope (Ctrl+C to exit REPL)
exec exprevaluate expression once
restartrestart script
killkill the script
.exitquit debugger

In the repl sub-mode: type any JS expression, including access to locals/closure variables. Ctrl+C exits back to debug>.

Attaching to a Running Process

When the process is already running (e.g. a long-lived dev server or the TUI gateway):

bash
# 1. Send SIGUSR1 to enable the inspector on an existing process
kill -SIGUSR1 <pid>
# Node prints: Debugger listening on ws://127.0.0.1:9229/<uuid>

# 2. Attach the debugger CLI
node inspect -p <pid>
# or by URL
node inspect ws://127.0.0.1:9229/<uuid>

To start a process with the inspector from the beginning:

bash
node --inspect script.js           # listen on 127.0.0.1:9229, keep running
node --inspect-brk script.js       # listen AND pause on first line
node --inspect=0.0.0.0:9230 script.js   # custom host:port

For TypeScript via tsx:

bash
node --inspect-brk --import tsx script.ts
# or older tsx
node --inspect-brk -r tsx/cjs script.ts

Programmatic CDP (scripting from terminal)

When you want to automate — set many breakpoints, capture scope state, script a repro — use chrome-remote-interface:

bash
npm i -g chrome-remote-interface        # or project-local
# Start your target:
node --inspect-brk=9229 target.js &

Driver script (save as ~/.hermes/cache/scratch/cdp-debug.js):

javascript
const CDP = require('chrome-remote-interface');

(async () => {
  const client = await CDP({ port: 9229 });
  const { Debugger, Runtime } = client;

  Debugger.paused(async ({ callFrames, reason }) => {
    const top = callFrames[0];
    console.log(`PAUSED: ${reason} @ ${top.url}:${top.location.lineNumber + 1}`);

    // Walk scopes for locals
    for (const scope of top.scopeChain) {
      if (scope.type === 'local' || scope.type === 'closure') {
        const { result } = await Runtime.getProperties({
          objectId: scope.object.objectId,
          ownProperties: true,
        });
        for (const p of result) {
          // Only inspect pre-approved non-sensitive fields, never every local.
          if (['status', 'phase'].includes(p.name)) {
            console.log(`  ${scope.type}.${p.name} =`, p.value?.value);
          }
        }
      }
    }

    // Evaluate an expression in the paused frame
    const { result } = await Debugger.evaluateOnCallFrame({
      callFrameId: top.callFrameId,
      expression: 'typeof state',
    });
    console.log('state =', result.value ?? result.description);

    await Debugger.resume();
  });

  await Runtime.enable();
  await Debugger.enable();

  // Set a breakpoint by URL regex + line
  await Debugger.setBreakpointByUrl({
    urlRegex: '.*app\\.tsx$',
    lineNumber: 119,       // 0-indexed
    columnNumber: 0,
  });

  await Runtime.runIfWaitingForDebugger();
})();

Run it:

bash
node ~/.hermes/cache/scratch/cdp-debug.js

Hermes-specific note: chrome-remote-interface is NOT in ui-tui/package.json. Install it to a throwaway location if you don't want to dirty the project:

bash
mkdir -p ~/.hermes/cache/scratch/cdp-tools && cd ~/.hermes/cache/scratch/cdp-tools && npm i chrome-remote-interface
NODE_PATH=~/.hermes/cache/scratch/cdp-tools/node_modules node ~/.hermes/cache/scratch/cdp-debug.js

Debugging Hermes ui-tui

The TUI is built Ink + tsx. Two common scenarios:

Debugging a single Ink component under dev

ui-tui/package.json has npm run dev (tsx --watch). Add --inspect-brk by running tsx directly:

bash
cd <hermes-agent-repo>/ui-tui
npm run build    # produce dist/ once so transpile isn't needed on first load
node --inspect-brk dist/entry.js
# In another terminal:
node inspect -p <node pid>

Then inside debug>:

sb('dist/app.js', 220)     # or wherever the suspect render is
cont

When it pauses, repl → inspect props, state refs, useInput handler values, etc.

Debugging a running hermes --tui

The TUI spawns Node from the Python CLI. Easiest path:

bash
# 1. Launch TUI
hermes --tui &
TUI_PID=$(pgrep -f 'ui-tui/dist/entry' | head -1)

# 2. Enable inspector on that Node PID
kill -SIGUSR1 "$TUI_PID"

# 3. Find the WS URL
curl -s http://127.0.0.1:9229/json/list | jq -r '.[0].webSocketDebuggerUrl'

# 4. Attach
node inspect ws://127.0.0.1:9229/<uuid>

Interacting with the TUI (typing in its window) continues to advance execution; your debugger can pause it on a breakpoint at any sb(...).

Debugging _SlashWorker / PTY child processes

Those are Python, not Node — use the python-debugpy skill for them. Only Node portions (Ink UI, tui_gateway client, tsx-run tests under ui-tui/) use this skill.

Running Vitest Tests Under the Debugger

bash
cd <hermes-agent-repo>/ui-tui
# Run a single test file paused on entry
node --inspect-brk ./node_modules/vitest/vitest.mjs run --no-file-parallelism src/app/foo.test.tsx

In another terminal: node inspect -p <pid>, then sb('src/app/foo.tsx', 42), cont.

Use --no-file-parallelism (vitest) or --runInBand (jest) so only one worker exists — debugging a pool is painful.

Heap Snapshots & CPU Profiles (Non-interactive)

From the CDP driver above, swap Debugger for HeapProfiler / Profiler:

javascript
// CPU profile for 5 seconds
await client.Profiler.enable();
await client.Profiler.start();
await new Promise(r => setTimeout(r, 5000));
const { profile } = await client.Profiler.stop();
const fs = require('node:fs');
const path = require('node:path');
const os = require('node:os');
const out = fs.mkdtempSync(path.join(os.tmpdir(), 'prismer-profile-'));
fs.writeFileSync(path.join(out, 'cpu.cpuprofile'), JSON.stringify(profile), {flag: 'wx', mode: 0o600});
console.log(out);
// Attach the returned task-owned profile path; it may contain sensitive data.
javascript
// Heap snapshot
await client.HeapProfiler.enable();
const chunks = [];
client.HeapProfiler.addHeapSnapshotChunk(({ chunk }) => chunks.push(chunk));
await client.HeapProfiler.takeHeapSnapshot({ reportProgress: false });
const fs = require('node:fs');
const path = require('node:path');
const out = fs.mkdtempSync(path.join(require('node:os').tmpdir(), 'prismer-heap-'));
fs.writeFileSync(path.join(out, 'heap.heapsnapshot'), chunks.join(''), {flag: 'wx', mode: 0o600});
console.log(out);

Common Pitfalls

  1. Wrong line numbers in TS source. Breakpoints hit the emitted JS, not the .ts. Either (a) break in the built dist/*.js, or (b) enable sourcemaps (node --enable-source-maps) and use sb('src/app.tsx', N) — but only with CDP clients that follow sourcemaps. node inspect CLI does not.

  2. --inspect vs --inspect-brk. --inspect starts the inspector but doesn't pause; your script races past your first breakpoint if you attach too late. Use --inspect-brk when you need to set breakpoints before any code runs.

  3. Port collisions. Use --inspect=127.0.0.1:0 and read the actual WebSocket URL from the child stderr. Query /json/list on THAT port only, verify target PID and URL before attaching; it does not list all host inspector instances.

  4. Child processes. Allocate a distinct/random loopback port to each child. Inherited NODE_OPTIONS does not guarantee automatic port incrementing.

  5. Background kills. If you Ctrl+C out of node inspect while the target is paused, the target stays paused. Either cont first, or kill the target explicitly.

  6. Running node inspect through an agent terminal. It's a PTY-friendly REPL. In Hermes, launch it with terminal(pty=true) or background=true + process(action='submit', data='...'). Non-PTY foreground mode will work for one-shot commands but not for interactive stepping.

  7. Security. Public inspector bindings expose arbitrary code execution. Always bind to 127.0.0.1 (the default) unless you have an isolated network.

Verification Checklist

After setting up a debug session, verify:

  • curl -s http://127.0.0.1:9229/json/list returns exactly the target you expect
  • First breakpoint actually hits (if it doesn't, you likely missed --inspect-brk or attached after execution completed)
  • Source listing at pause shows the right file (mismatch = sourcemap issue, see pitfall 1)
  • exec process.pid in repl returns the PID you meant to attach to

One-Shot Recipes

"Why is this variable undefined at line X?"

bash
node --inspect-brk script.js &
node inspect -p $!
# debug>
sb('script.js', X)
cont
# paused. Now:
repl
> myVariable
> Object.keys(this)

"What's the call path into this function?"

debug> sb('suspectFn')
debug> cont
# paused on entry
debug> bt

"This async chain hangs — where?"

# Start with --inspect (no -brk), let it run to the hang, then:
debug> pause
debug> bt
# Now you see the stuck frame

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prismer Node Inspect Debugger AI skill do?

Debug Node.js via --inspect + Chrome DevTools Protocol CLI.

Why use Prismer Node Inspect Debugger on TypingMind?

Because you install it once and use it with any model. Prismer Node Inspect Debugger is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prismer Node Inspect Debugger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-node-inspect-debugger. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prismer Node Inspect Debugger?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prismer Node Inspect Debugger?

As many as you like. As long as a model supports skills, you can use Prismer Node Inspect Debugger with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prismer Node Inspect Debugger AI skill free?

Yes. It is published on GitHub by Prismer-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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