Langfuse

What it does

When your agent uses it

• Phrases: langfuse
• Llm observability

Example prompts

• “/langfuse”

Requirements

• Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. 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

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

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

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • cloud.langfuse.com
  • us.cloud.langfuse.com

  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

Langfuse loads about 773 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 241 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~43

When it runs · the whole SKILL.md, loaded when a task matches

~773

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

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

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 241 words, ~773 tokens.

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

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)

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/langfuse of Anil-matcha/awesome-muse-connectors.

• SKILL.md
• bin/langfuse.py

Open the folder on GitHubat commit d6dc5d8