langfuse-docs: Skill for Claude Code

.agents/skills/add-yourself-to-team-langfuse/SKILL.md

add-yourself-to-team-langfuse is a skill for Claude Code, Codex from langfuse/langfuse-docs. It costs 51 tokens per session (569 once invoked), scanned A, original, MIT.

A guided procedure for adding a new employee to Langfuse's shared team data. It requires the person's identifying and profile information, then updates the website's author and team records.

In plain words
What is it for?
It is for onboarding a new team member by adding their name, role, social profiles, and profile photo to the specified project files.
Why use it?
It keeps the same person represented consistently across team, press, careers, about, and handbook pages.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is langfuse/langfuse-docs's own configuration. It tells Claude Code and Codex how to work on langfuse-docs itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything langfuse-docs configures →

Reuse

Borrowing it

Nothing to install: this file belongs to langfuse/langfuse-docs. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/langfuse/langfuse-docs/main/.agents/skills/add-yourself-to-team-langfuse/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/langfuse/langfuse-docs

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for add-yourself-to-team-langfuse

README.md
[![agentmods](https://agentmods.dev/badge/skills/langfuse/langfuse-docs/add-yourself-to-team-langfuse/github.svg)](https://agentmods.dev/skills/langfuse/langfuse-docs/add-yourself-to-team-langfuse)
Your own site
<a href="https://agentmods.dev/skills/langfuse/langfuse-docs/add-yourself-to-team-langfuse"><img src="https://agentmods.dev/badge/skills/langfuse/langfuse-docs/add-yourself-to-team-langfuse/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for add-yourself-to-team-langfuse

Your own site · 80×15
<a href="https://agentmods.dev/skills/langfuse/langfuse-docs/add-yourself-to-team-langfuse"><img src="https://agentmods.dev/badge/skills/langfuse/langfuse-docs/add-yourself-to-team-langfuse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 569 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00569
Opus 5 $0.00026 $0.00284
Sonnet 5 $0.00010 $0.00114
Haiku 4.5 $0.00005 $0.00057

Measured 10d ago against content hash 78403a6fcadc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

add-yourself-to-team-langfuse scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/add-yourself-to-team-langfuse/SKILL.md · 63 lines

What it actually says

Add a new team member to Langfuse. Ask the user for the following information before proceeding:

  1. Full name (including any special characters, e.g. umlauts)
  2. Role/title (e.g. "Growth & Developer Relations")
  3. GitHub username (e.g. from https://github.com/username)
  4. LinkedIn URL (e.g. https://www.linkedin.com/in/handle/)
  5. X/Twitter handle (e.g. from https://x.com/handle) — optional
  6. Profile photo — remind them to add it to public/images/people/<key>.jpg

Once you have the information, update the following source files:


1. data/authors.json

Add a new entry at the end (before the closing }). Use a lowercase, no-special-chars version of the name as the key (e.g. annabellschafer):

"<key>": {
  "firstName": "<first name>",
  "name": "<full name>",
  "title": "<role>",
  "image": "/images/people/<key>.jpg",
  "twitter": "<twitter handle>",   // omit if not provided
  "github": "<github username>",   // omit if not provided
  "linkedin": "<linkedin handle>"  // omit if not provided
}

2. components-mdx/team-members.mdx

This is the canonical website team list. It is rendered by the press, about, careers, and handbook team pages. Append a new table row at the end:

| **<Full Name>** | <Role> | [Twitter](https://x.com/<twitter>), [LinkedIn](https://www.linkedin.com/in/<linkedin>/), [GitHub](https://github.com/<github>) |

Omit any social links that were not provided.


3. Confirm shared usage

Do not add team rows directly to any other page. Those pages should import and render the canonical component:

import TeamMembers from "@/components-mdx/team-members.mdx";

<TeamMembers />

If a page has a hand-written team table or list, replace it with the shared TeamMembers import instead of adding another copy. Please do a quick search for some team members to confirm that there are no copies of this table.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 63 lines · 51 tokens per session scan A 78403a6fcadc

Subscribe to this mod's changes

add-yourself-to-team-langfuse is a skill published in the GitHub repository langfuse/langfuse-docs (240 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 569 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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