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amitbidlan

Skill

by Amit Bidlan · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install lumin
Description
Observe and debug your OpenClaw agent with Lumin — local-first AI observability. Records every LLM call, tool call, and decision; view at localhost:3000. Use...
README (SKILL.md)

Lumin — Local Agent Observability

Lumin records every LLM call, tool call, and decision your OpenClaw agent makes. View them at \x3Chttp://localhost:3000>. Data never leaves the machine — everything runs in a single Docker container.

This skill provides three commands that hit Lumin's local HTTP API so you can check status and pull trace data without leaving the chat.

Check if Lumin is running

Run: node $SKILL_DIR/lumin.mjs status

Returns one of:

  • Lumin is running on http://localhost:8000
  • Lumin is not running on …. Start with: docker run -p 3000:3000 -p 8000:8000 zistica/lumin

Show recent traces

Run: node $SKILL_DIR/lumin.mjs traces

Returns the last 5 agent traces formatted like:

Recent agent traces:
  1. openclaw_session  3.2s  $0.0023  OK
  2. openclaw_session  1.8s  $0.0011  OK
  3. openclaw_session  5.1s  $0.0089  ERROR
  …
Open http://localhost:3000/traces for the full list.

Show one trace's spans

Run: node $SKILL_DIR/lumin.mjs trace \x3Cid>

Returns the trace metadata plus every span with type, model, tokens, cost, and any error message.

Wire OpenClaw to Lumin

This skill only reads from Lumin. To get your OpenClaw agent's traces into Lumin, install the companion exporter:

npm install @lumin-io/openclaw

…and pass luminProcessor() into your OpenClaw OTel config. See \x3Chttps://github.com/amitbidlan/zistica-lumin/tree/main/packages/integrations/openclaw>.

Start Lumin (if not running)

docker run -p 3000:3000 -p 8000:8000 zistica/lumin

Then open \x3Chttp://localhost:3000>.

Usage Guidance
This skill appears safe for its stated purpose if you understand that agent traces can contain sensitive details. Prefer the default localhost setup for local-only use, verify the companion npm package and Docker image before installing them, and only configure hosted Lumin credentials for a service you trust.
Capability Analysis
Type: OpenClaw Skill Name: lumin Version: 0.1.0 The 'lumin' skill is a local observability tool for OpenClaw agents that retrieves and displays execution traces. The core logic in `lumin.mjs` uses the native Node.js fetch API to query a local or user-defined endpoint (defaulting to localhost:8000) for health status and trace metadata. The code is well-structured, includes proper URL encoding for parameters, implements timeouts, and lacks any indicators of data exfiltration, malicious execution, or prompt injection.
Capability Tags
requires-oauth-tokenrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The stated observability purpose matches the helper code, which only checks Lumin status and reads recent traces/spans, but those traces can describe LLM calls, tool calls, decisions, costs, tokens, sessions, and errors.
Instruction Scope
The documented commands are user-directed status/read operations; the helper does not mutate traces, delete data, install software automatically, or run hidden background work.
Install Mechanism
The skill itself has no install spec, but the documentation recommends a companion npm package and Docker image without pinned versions; this is purpose-aligned but should be verified before use.
Credentials
The default endpoint is localhost, but the artifacts also support a configurable LUMIN_HOST and mention an optional hosted-instance bearer token, so the local-only privacy claim should be treated as conditional.
Persistence & Privilege
The helper does not request elevated OS privileges, but Lumin’s intended function is to retain agent observability traces, which may include sensitive run history.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install lumin
  3. After installation, invoke the skill by name or use /lumin
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of the Lumin skill for local agent observability. - Observe and debug OpenClaw agents with Lumin via three chat commands: check status, show recent traces, and inspect a specific trace. - Records every LLM call, tool call, and agent decision; view them at http://localhost:3000. - All data is local—no external servers involved. - Connects to Lumin's API using configurable environment variables (LUMIN_HOST, LUMIN_API_KEY). - To export traces from OpenClaw, use the companion npm package: @lumin-io/openclaw. - Quick start with Docker; detailed instructions provided.
Metadata
Slug lumin
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Skill?

Observe and debug your OpenClaw agent with Lumin — local-first AI observability. Records every LLM call, tool call, and decision; view at localhost:3000. Use... It is an AI Agent Skill for Claude Code / OpenClaw, with 31 downloads so far.

How do I install Skill?

Run "/install lumin" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Skill free?

Yes, Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Skill support?

Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Skill?

It is built and maintained by Amit Bidlan (@amitbidlan); the current version is v0.1.0.

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