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Diagnosis · Automation

oma-observability

Intent-based observability + traceability router across layers, boundaries, and signals.

Connecting the steps of a workflow

Works with
ClaudeChatGPTGeminiClaude CodeCodexCursorCopilotGemini CLI
Setup
Upload one file
About a minute in Claude. One command in coding tools.
Contains
Instructions only
Text files — no scripts or programs.
Maintained
Last change 4 Oct 2026
On the repository’s main branch.

What it does

Observability Agent - Intent-based Router

When your AI uses it

Use for observability, traceability, telemetry, APM, RUM, metrics, logs, traces, profiles, SLO, incident forensics, tracing architecture…

You don’t need to name it. Ask for the job in your own words — your AI loads the skill when the request matches.

What it can touch

  • No script files in its folder

    Its folder holds text, not programs. It changes how your AI works; it does not bring code of its own.

    How we know

    Listed the 34 files in the skill’s folder on GitHub; none is a script or program.

  • Mentions an outside service

    The instructions point your AI at these sites or APIs. Anything it sends there leaves your computer.

    How we know

    Web addresses in the SKILL.md, excluding GitHub and documentation sites: landscape.cncf.io.

  • Its code sends data over the internet

    A script in it uploads or posts data. That is normal for a skill that talks to a service — check that the address is the service you expect.

    How we know

    resources/layers/L7-application/web-rum.md line 51: “navigator.sendBeacon('/rum', JSON.stringify({ name, value, rating, id }));”. Read 2026-10-05, commit d40f5f4.

    resources/layers/L7-application/web-rum.md, line 51 ↗
  • 2 smaller things worth knowing

    Refers to a credentials file (SSH keys, cloud logins, tokens). Usually legitimate — listed so nothing is hidden.

    How we know

    Refers to a credentials file (SSH keys, cloud logins, tokens) — resources/meta-observability.md line 204; Refers to a credentials file (SSH keys, cloud logins, tokens) — resources/standards.md line 159. Read 2026-10-05, commit d40f5f4.

    resources/meta-observability.md, line 204 ↗resources/standards.md, line 159 ↗
  • No serious risk pattern found

    Launch7’s automated check read all 34 text files in this skill and matched none of its serious risk patterns. This is not a guarantee: a check like this can miss new or disguised tricks, and the author can change the files after the check.

    How we know

    Read 2026-10-05, commit d40f5f4 by pipeline/trust/analyze.py — 40+ patterns for hidden text, prompt injection, downloads that run, credential access and more. It reads; it never runs the skill.

  • Recently maintained

    Its repository has had changes recently.

    How we know

    Last push to first-fluke/oh-my-agent: 2026-10-04 (1 days before the scan).

Read automatically from the skill’s own files on GitHub on 5 Oct 2026. Launch7 does not run or manually review skills: this lists what the check saw, and nothing here means “safe”. How we check

Add it to your AI

Supported. Upload it once in Claude’s settings. Works on every plan, including Free.

  1. Built in your browser from the SKILL.md on GitHub — nothing passes through Launch7.

  2. In Claude, open Customize → Skills, press +, then Create skill → Upload a skill, and choose the .zip.

  3. Make sure code execution is switched on (Settings → Capabilities). Skills need it.

  4. Start a new chat and ask for the job in your own words — Claude picks the skill up when it fits.

How Claude does this: support.claude.com · checked 28 Sep 2026 · “Supported” means documented by the vendor; Launch7 has not run it end to end

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