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Agent skill

Seed Test Data

by langfuse in langfuse/langfuse

Seed reproducible local Langfuse data in ClickHouse and Postgres.

Custom licenceAuto-check passedTesting & QA

Install Seed Test Data

skills CLI
$ npx skills add langfuse/langfuse --skill seed-test-data -a claude-code

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

GitHub CLI
$ gh skill install langfuse/langfuse seed-test-data --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/langfuse/langfuse.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/seed-test-data .claude/skills/seed-test-data && 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
seed-test-data
GitHub stars
35k
Token cost
~5.7k tokens
SKILL.md length
1,427 words
Files
2
Skills in repo
33
Repo updated
First seen
Licence
Custom licence

At a glance

Seed reproducible local Langfuse data in ClickHouse and Postgres.

  • Frontend rendering and performance tests
  • SKILL.md covers If anything fails, run doctor…, Need → command, Contract and Extending
  • Calls pnpm
  • Never use ad hoc scripts

What it does

Seed Test Data is an agent skill from langfuse/langfuse. Seed reproducible local Langfuse data in ClickHouse and Postgres. Use for complex traces, long sessions, v3/v4 events, bulk list data, or frontend rendering and performance tests; never use ad hoc scripts or raw inserts.

Its SKILL.md is about 5.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Testing & QA, covering Test data and fixtures, LLM observability and Data warehousing. It works with Langfuse, ClickHouse and PostgreSQL. The repository describes itself as: 🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

When your agent uses it

  • Frontend rendering and performance tests
  • Never use ad hoc scripts

Example prompts

  • “/seed-test-data”

Requirements

  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit 8b58764. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pnpm

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

  • Network

    No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.

    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.

Context cost

Seed Test Data loads about 5.7k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 1,427 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~5.7k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,427 words (~5,742 tokens).

“One-shot deterministic test data for local Langfuse. The CLI handles env loading, preflight checks, ClickHouse/Postgres writes, readback verification, and prints UI deep links plus a machine-readable JSON summary (last stdout line).”

— opening of SKILL.md by langfuse, Custom licence
name
seed-test-data

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in .agents/skills/seed-test-data of langfuse/langfuse.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 8b58764

Compare with similar skills

Seed Test Data 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.

Seed Test Data compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Seed Test Data this skilllangfuse/langfuse35k—~5.7kAutomated safety check: PassCustom licence
Local Platform E2Ecomputesdk/benchmarks126—~3kAutomated safety check: NotesMIT
Chdb SQLvemetric/vemetric3941 repos~1.2kAutomated safety check: PassApache-2.0
Observal AdminObserval/Observal4.1k—~774Automated safety check: PassApache-2.0
Backend Dev Guidelineslitefuse/litefuse1001 repos~5.8kAutomated safety check: PassCustom licence
Querying Tempotempoxyz/tidx107—~3.1kAutomated safety check: PassMIT

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    Stand up benchmarks-platform locally (Postgres + MinIO + ClickHouse in docker) and run a real @benchsdk/runner benchmark against it, with no cloud or provider credentials.

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Works with

Categories

Questions about Seed Test Data

What does Seed Test Data do?

Seed reproducible local Langfuse data in ClickHouse and Postgres. Seed Test Data is an agent skill from langfuse/langfuse. Seed reproducible local Langfuse data in ClickHouse and Postgres.

When should I use Seed Test Data?

Seed Test Data fits situations like: frontend rendering and performance tests; never use ad hoc scripts.

How do I install Seed Test Data in Claude Code?

Run `npx skills add langfuse/langfuse --skill seed-test-data -a claude-code`. Or copy the skill folder (.agents/skills/seed-test-data in langfuse/langfuse) into .claude/skills/seed-test-data in your project. Claude Code loads it when a task matches its description.

How do I install Seed Test Data in Codex?

Run `npx skills add langfuse/langfuse --skill seed-test-data -a codex`. Or copy the skill folder (.agents/skills/seed-test-data in langfuse/langfuse) into .agents/skills/seed-test-data in your project. Codex loads it when a task matches its description.

Can I use Seed Test Data 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 langfuse/langfuse --skill seed-test-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seed-test-data, .gemini/skills/seed-test-data, .github/skills/seed-test-data and .opencode/skills/seed-test-data in your project.

What does Seed Test Data need to run?

Going by SKILL.md and its folder, Seed Test Data needs the command-line tools its instructions call (pnpm). Our summary lists: Docker.

Does Seed Test Data 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 Seed Test Data 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 Seed Test Data use?

Seed Test Data has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Seed Test Data use?

About 5.7k tokens (SKILL.md is roughly 23k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Seed Test Data?

Skills that share tags, products or a category with Seed Test Data: Local Platform E2E (computesdk/benchmarks, 126 stars), Chdb SQL (vemetric/vemetric, 394 stars), Observal Admin (Observal/Observal, 4.1k stars) and Backend Dev Guidelines (litefuse/litefuse, 100 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Seed Test Data?

langfuse (a GitHub organization) maintains it in langfuse/langfuse, which has 35,460 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 7, 2026.

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