Agent skill

Python Observability Patterns

by aiskillstore in aiskillstore/marketplace

Observability patterns for Python applications. An agent skill from aiskillstore/marketplace.

No licenceAuto-check passedDevOps & Cloud

Install Python Observability Patterns

skills CLI
$ npx skills add aiskillstore/marketplace --skill python-observability-patterns -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aiskillstore/marketplace python-observability-patterns --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/0xdarkmatter/python-observability-patterns .claude/skills/python-observability-patterns && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
python-observability-patterns
GitHub stars
430
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
94 words
Files
6 (incl. references, assets)
Skills in repo
1,085
Repo updated
First seen
Licence
None found

At a glance

Observability patterns for Python applications. An agent skill from aiskillstore/marketplace.

  • Tasks that involve Observability
  • SKILL.md covers Structured Logging with…, Request Context Propagation, Prometheus Metrics and OpenTelemetry Tracing, plus 4 more sections
  • Runs Python scripts from its folder
  • Tasks that involve Monitoring and alerting

What it does

Python Observability Patterns is an agent skill from aiskillstore/marketplace. Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files and assets (for example `assets/logging-config.py`, `references/metrics.md` and `references/structured-logging.md`). Compatibility notes: Python 3.10+. Requires structlog, opentelemetry-api, prometheus-client.

It sits in DevOps & Cloud, covering Observability and Monitoring and alerting. It works with Python, OpenTelemetry and Prometheus. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

When your agent uses it

  • Tasks that involve Observability
  • Tasks that involve Monitoring and alerting

Example prompts

  • “/python-observability-patterns”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Python 3.10+. Requires structlog, opentelemetry-api, prometheus-client.
  • Pre-approved tools (allowed-tools): Read, Write

What it can do on your machine

Read from SKILL.md and the folder at commit 4ac52da. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Python 3.10+. Requires structlog, opentelemetry-api, prometheus-client.

    From compatibility in the SKILL.md frontmatter.

Context cost

Python Observability Patterns loads about 1.3k tokens when it runs, and up to ~7.3k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 94 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 94 words (~1,290 tokens).

“Logging, metrics, and tracing for production applications.”

— opening of SKILL.md by aiskillstore
name
python-observability-patterns
allowed-tools
Read, Write
compatibility
Python 3.10+. Requires structlog, opentelemetry-api, prometheus-client.
depends-on
python-async-patterns
related-skills
python-fastapi-patterns, python-cli-patterns

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (references, assets) in skills/0xdarkmatter/python-observability-patterns of aiskillstore/marketplace.

  • SKILL.md
  • assets/logging-config.py
  • references/metrics.md
  • references/structured-logging.md
  • references/tracing.md
  • skill-report.json

Open the folder on GitHubat commit 4ac52da

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Python Observability Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Python Observability Patterns compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Python Observability Patterns this skillaiskillstore/marketplace4301 repos~1.3kAutomated safety check: PassNone
Logfire Instrumentationbasicmachines-co/basic-memory4.1k—~2.3kAutomated safety check: PassAGPL-3.0
Developing Funboost Mixinydf0509/funboost892—~2.1kAutomated safety check: PassNone
Archestra Dev Observabilityarchestra-ai/archestra4.3k—~1.2kAutomated safety check: PassCustom licence
Frontmcp Observabilityagentfront/frontmcp146—~4.6kAutomated safety check: PassApache-2.0
Monitoring Observabilityahmedasmar/devops-claude-skills203—~3.9kAutomated safety check: PassNone

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Categories

Questions about Python Observability Patterns

What does Python Observability Patterns do?

Observability patterns for Python applications. An agent skill from aiskillstore/marketplace. Python Observability Patterns is an agent skill from aiskillstore/marketplace. Observability patterns for Python applications.

When should I use Python Observability Patterns?

Python Observability Patterns fits situations like: tasks that involve Observability; tasks that involve Monitoring and alerting.

How do I install Python Observability Patterns in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill python-observability-patterns -a claude-code`. Or copy the skill folder (skills/0xdarkmatter/python-observability-patterns in aiskillstore/marketplace) into .claude/skills/python-observability-patterns in your project. Claude Code loads it when a task matches its description.

How do I install Python Observability Patterns in Codex?

Run `npx skills add aiskillstore/marketplace --skill python-observability-patterns -a codex`. Or copy the skill folder (skills/0xdarkmatter/python-observability-patterns in aiskillstore/marketplace) into .agents/skills/python-observability-patterns in your project. Codex loads it when a task matches its description.

Can I use Python Observability Patterns in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill python-observability-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-observability-patterns, .gemini/skills/python-observability-patterns, .github/skills/python-observability-patterns and .opencode/skills/python-observability-patterns in your project.

What does Python Observability Patterns need to run?

Going by SKILL.md and its folder, Python Observability Patterns needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write. Compatibility (from SKILL.md): Python 3.10+. Requires structlog, opentelemetry-api, prometheus-client..

Does Python Observability Patterns access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Python Observability Patterns safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Python Observability Patterns use?

No licence was found for Python Observability Patterns or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Python Observability Patterns use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6k tokens, read only when the agent opens those files.

What are the alternatives to Python Observability Patterns?

Skills that share tags, products or a category with Python Observability Patterns: Logfire Instrumentation (basicmachines-co/basic-memory, 4.1k stars), Developing Funboost Mixin (ydf0509/funboost, 892 stars), Archestra Dev Observability (archestra-ai/archestra, 4.3k stars) and Frontmcp Observability (agentfront/frontmcp, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Python Observability Patterns?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,085 skills in this directory. The repository was last updated on October 7, 2026.

Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.