SkillAgentSearch skills...

langfuse

Read and write Langfuse: browse traces and observations, list prompts and datasets, score traces, add dataset items. Trigger phrases: langfuse, llm observability.

Install / Use

npx skills add Anil-matcha/awesome-muse-connectors --skill langfuse

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Tags

Our assessment of langfuse

langfuse scores 83/100 on our quality scale, 682nd of 942 AI & Machine Learning skills we index.

Its SKILL.md is 3.0 KB long, split into 7 sections with 1 code example: a solid amount of guidance for an agent.

With 1,321 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
15/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 20 days ago, so langfuse is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

langfuse compared with similar skills

All 4 of these similar skills score higher than langfuse; compare them before choosing.

SkillScoreStarsUpdatedFormat
langfuse (this skill)by Anil-matcha831.3k20d agoSKILL.md
claude-memby thedotmack100103.0ktodayCLAUDE.md
Understand-Anythingby Egonex-AI10088.2k3d agoCLAUDE.md
headroomby headroomlabs-ai10077.8k1d agoCLAUDE.md
CowAgentby zhayujie10047.6ktodayCLAUDE.md

Frequently asked questions

How do I install langfuse?
Run npx skills add Anil-matcha/awesome-muse-connectors --skill langfuse. The install tabs above show the steps for each supported agent.
Which AI agents does langfuse work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is langfuse safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is langfuse still maintained?
The repository was last updated 20 days ago, so langfuse is actively maintained.

name: "langfuse" description: "Read and write Langfuse: browse traces and observations, list prompts and datasets, score traces, add dataset items. Trigger phrases: langfuse, llm observability." metadata: { "includeInPrompt": true } tagline: "Query traces and observations, manage prompts and scores." catalog_auth: "Public+secret key pair (per-project; host declared at connect time)" catalog_hosts: ["cloud.langfuse.com", "us.cloud.langfuse.com"]

Langfuse

Purpose

Read and write the user's Langfuse LLM observability data: browse traces and observations, list prompts and datasets, score traces, and add dataset items. Use when the user mentions Langfuse or LLM tracing and evaluation.

Tooling

All commands go through bin/langfuse.py. Every command takes an optional --host (default https://cloud.langfuse.com; use https://us.cloud.langfuse.com for US-hosted projects or your self-hosted URL):

bin/langfuse.py auth                                            # verify the credential
bin/langfuse.py traces                                          # list traces
bin/langfuse.py traces --session-id abc123                      # traces for one session
bin/langfuse.py observations                                    # list observations
bin/langfuse.py prompts                                         # list prompts
bin/langfuse.py prompts --name my-prompt                        # one prompt's details
bin/langfuse.py score --trace-id tr_abc --name quality --value 0.9  # score a trace (confirm first)
bin/langfuse.py datasets                                        # list datasets
bin/langfuse.py dataset-item --dataset-name evals --input-json '{"q":"..."}'  # add a dataset item (confirm first)

Auth

  • Provider id: langfuse (credential is collected as custom.langfuse)
  • Collection: via the secure credential flow (credentials.request_api_access). The credential stores ONE combined value in the format public_key:secret_key (e.g. pk-lf-...:sk-lf-...), as issued in Langfuse under Settings > API keys. The CLI splits on the first colon into username (public key) and password (secret key) and sends them as HTTP Basic auth (Authorization: Basic base64(pk:sk)). Store the combined value exactly once, with exactly one colon separator.
  • Allowed hosts: cloud.langfuse.com, us.cloud.langfuse.com, or your self-hosted Langfuse host (declared at connect time via --host)
  • Status check: bin/langfuse.py auth (must return "ok": true)

Operating Rules

  1. score and dataset-item are writes: confirm the trace or dataset and the values with the user before running, unless standing permission exists.
  2. Reading (traces, observations, prompts, datasets) needs no confirmation.
  3. Ingested data can lag ~15-30 seconds behind a run; a missing trace may just need a moment.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/langfuse.py

Maturity

🧪 Draft: written from Langfuse's public API docs; not yet live-tested end-to-end.

Related Skills

View on GitHub
GitHub Stars1.3k
CategoryAI
Updated20d ago
Forks305

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions