observability-edot-python-instrument

observability-edot-python-instrument is a skill for Claude Code, Codex from elastic/agent-skills. It costs 51 tokens per session (520 once invoked), scanned A, original, Apache-2.0.

A setup guide for adding automatic monitoring to a Python application using the EDOT Python agent. The monitoring covers traces, metrics, and logs, which describe requests, resource measurements, and application events.

In plain words
What is it for?
Use it to add the EDOT package, prepare an application image, wrap the Python or Gunicorn startup command, and send telemetry to an OpenTelemetry endpoint.
Why use it?
It provides the installation, startup, and connection settings needed to collect application signals without adding monitoring code throughout the program.

Skill for Claude CodeCodex

Part of the observability plugin — 11 skills shipped together

Install

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.

agentmods
npx agentmods add skills/elastic/agent-skills/edot-python-instrument
Any agent
npx skills add elastic/agent-skills --skill edot-python-instrument
Clone the repo
git clone --depth 1 https://github.com/elastic/agent-skills

Made for: Claude Code, Codex.

Or install observability, the plugin that ships this one along with the rest of its 11 skills.

Wrote 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.

agentmods badge for observability-edot-python-instrument

README.md
[![agentmods](https://agentmods.dev/badge/skills/elastic/agent-skills/edot-python-instrument.svg)](https://agentmods.dev/skills/elastic/agent-skills/edot-python-instrument)
Your own site
<a href="https://agentmods.dev/skills/elastic/agent-skills/edot-python-instrument"><img src="https://agentmods.dev/badge/skills/elastic/agent-skills/edot-python-instrument.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 520 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00051 $0.00520
Opus 5 $0.00026 $0.00260
Sonnet 5 $0.00010 $0.00104
Haiku 4.5 $0.00005 $0.00052

Measured 4d ago against content hash 1be0bc3258d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

observability-edot-python-instrument 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 4d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/observability/skills/edot-python-instrument/SKILL.md · 42 lines

What it actually says

EDOT Python Instrumentation

Read the setup guide before making changes:

Guidelines

  1. Install elastic-opentelemetry via pip (add to requirements.txt or equivalent)
  2. Run edot-bootstrap --action=install during image build to install auto-instrumentation packages for detected libraries
  3. Wrap the application entrypoint with opentelemetry-instrument — e.g. opentelemetry-instrument gunicorn app:app or opentelemetry-instrument python app.py. Without this, no telemetry is collected
  4. Set exactly three required environment variables:
    • OTEL_SERVICE_NAME
    • OTEL_EXPORTER_OTLP_ENDPOINT — must be the managed OTLP endpoint or EDOT Collector URL. Never use an APM Server URL (no apm-server, no :8200, no /intake/v2/events)
    • OTEL_EXPORTER_OTLP_HEADERS"Authorization=ApiKey <key>" or "Authorization=Bearer <token>"
  5. Do NOT set OTEL_TRACES_EXPORTER, OTEL_METRICS_EXPORTER, or OTEL_LOGS_EXPORTER — the defaults are already correct
  6. Do NOT add code-level SDK setup (no TracerProvider, no configure_azure_monitor, etc.) — opentelemetry-instrument handles everything
  7. Never run both classic elastic-apm and EDOT on the same application

Examples

See the EDOT Python setup guide for complete examples.

Changes

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.

  1. 4d ago First seen · 42 lines · 51 tokens per session scan A 1be0bc3258d3

Subscribe to this mod's changes

observability-edot-python-instrument is a skill published in the GitHub repository elastic/agent-skills (564 stars, last pushed 7d ago), licensed Apache-2.0. It adds 51 tokens to every session and 520 once invoked, about $0.0003 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 2026-08-30.

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