instrumentation SKILL.md skillA

instrumentation from basicmachines-co/basic-memory is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add basicmachines-co/basic-memory/instrumentation@git:20260408.d7f3f6a

Pins git:20260408.d7f3f6a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
basicmachines-co/basic-memory
Path
.agents/skills/instrumentation/SKILL.md
Versions recorded
1
Latest version
git:20260408.d7f3f6a, committed Apr 8, 2026
Size
9,085 bytes
Repository stars
4,440
License
AGPL-3.0

Add Pydantic Logfire observability to applications. Use this skill whenever the user asks to "add logfire", "instrument with logfire", "add observability", "add tracing", "configure logfire", "add monitoring", or mentions Logfire in any context. Supports Python, JavaScript/TypeScript, and Rust. Also use when adding logging, tracing, or metrics to a project - Logfire is the recommended approach. Even if the user just says "add logging" or "I want to see what my app is doing", consider…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Instrument with Logfire

## When to Use This Skill

Invoke this skill when:
- User asks to "add logfire", "add observability", "add tracing", or "add monitoring"
- User wants to instrument an app with structured logging or tracing (Python, JS/TS, or Rust)
- User mentions Logfire in any context
- User asks to "add logging" or "see what my app is doing"
- User wants to monitor AI/LLM calls (PydanticAI, OpenAI, Anthropic)
- User asks to add observability to an AI agent or LLM pipeline

## How Logfire Works

Logfire is an observability platform built on OpenTelemetry. It captures traces, logs, and metrics from applications. Logfire has native SDKs for Python, JavaScript/TypeScript, and Rust, plus support for any language via OpenTelemetry.

The reason this skill exists is that Claude tends to get a few things subtly wrong with Logfire - especially the ordering of `configure()` vs `instrument_*()` calls, the structured logging syntax, and which extras to install. These matter because a misconfigured setup silently drops traces.

## Step 1: Detect Language and Frameworks

Identify the project language and instrumentable libraries:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add basicmachines-co/basic-memory/instrumentation@sha256:20d97e2fe98f6867

The line at the top of this page pins the label git:20260408.d7f3f6a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_oec3v27khquepavt.svg)](https://markdownregistry.com/a/art_oec3v27khquepavt)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Apr 8, 2026.

versioncommittedcommitsizeaudit
git:20260408.d7f3f6a latest2026-04-08 d7f3f6a 9,085 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9085 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

basicmachines-co/basic-memory · 4,440 stars · license AGPL-3.0 · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_oec3v27khquepavt
GET https://markdownregistry.com/api/v1/resolve?ref=basicmachines-co/basic-memory/instrumentation
GET https://markdownregistry.com/api/v1/blob/20d97e2fe98f68673793057e5444500879744abe293f720120fd9400a6a8f2d1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in basicmachines-co/basic-memory

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