langfuse-docs: Skill for Claude Code

.agents/skills/customer-story-setup/SKILL.md

customer-story-setup is a skill for Claude Code, Codex from langfuse/langfuse-docs. It costs 81 tokens per session (2,122 once invoked), scanned A, original, MIT.

A setup workflow that turns a customer-story draft written in Markdown into an MDX page for a Langfuse website. MDX is Markdown that can also use website components.

In plain words
What is it for?
It helps add or convert customer case studies, user stories, and customer pages, including their title, description, date, company link, slug, and related files.
Why use it?
It ensures the story, page metadata, authors, and required assets follow the site’s existing customer-page structure instead of being added inconsistently.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; installed under .agents/ (shared by several agents); mentions AGENTS.md.

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/customer-story-setup/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 customer-story-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/langfuse/langfuse-docs/customer-story-setup/github.svg)](https://agentmods.dev/skills/langfuse/langfuse-docs/customer-story-setup)
Your own site
<a href="https://agentmods.dev/skills/langfuse/langfuse-docs/customer-story-setup"><img src="https://agentmods.dev/badge/skills/langfuse/langfuse-docs/customer-story-setup/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 customer-story-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/langfuse/langfuse-docs/customer-story-setup"><img src="https://agentmods.dev/badge/skills/langfuse/langfuse-docs/customer-story-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,122 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 warn 7 Sept 2026
SkillSpector: 7 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Prompt Injection · line 28
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Memory Poisoning · line 40
    Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.
    Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
  • medium Prompt Injection · line 40
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 42
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 47
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 50
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 53
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 $0.00081 $0.02122
Opus 5.5 $0.00032 $0.00849
Sonnet 5.5 $0.00016 $0.00424
Haiku 4.5 $0.00008 $0.00212

Measured 2mo ago against content hash 87fd62a49697, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

customer-story-setup 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 2mo 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/customer-story-setup/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Single source of truth: maintain this skill under .agents/skills/customer-story-setup/ only. Claude and Cursor load projected copies under .claude/skills/customer-story-setup and .cursor/skills/customer-story-setup.

Customer story setup (MD -> MDX)

Turns a plain Markdown draft into content/customers/<slug>.mdx in the same pattern as content/customers/canva.mdx and cresta.mdx.

Before writing any file: collect missing input

Do not guess. If any item below is missing from the user's draft or message, ask explicitly and wait for answers (or confirm defaults).

Content & publishing

Topic Ask
Company name Legal/marketing name for copy and quotes
Company website Public URL for the [Company](https://...) link in About <Company>
Slug Filename: <slug>.mdx (lowercase, hyphens), e.g. cresta -> cresta.mdx
Page title H1 string for BlogHeader + YAML title (often "How <Company> ... with Langfuse")
Short description YAML description + BlogHeader description (SEO/social; 1-2 sentences)
Publish date YAML date + BlogHeader date (e.g. March 26, 2026)
OG image Optional ogImage: path; if unset, leave empty like other stories

Authors (BlogHeader authors={["..."]})

Topic Ask
Byline author(s) Who should appear under the title (keys from data/authors.json)
External / guest speaker If not in authors.json: collect name, title, optional socials, and headshot path under public/images/people/ or public/images/customers/<slug>/, then add an entry to data/authors.json (see existing entries). Every authors key must resolve in authors.json.

Read the full file on GitHub · 172 lines

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. 2mo ago First seen · 172 lines · 81 tokens per session scan A 87fd62a49697

Subscribe to this mod's changes

customer-story-setup is a skill published in the GitHub repository langfuse/langfuse-docs (249 stars, last pushed today), licensed MIT. It adds 81 tokens to every session and 2,122 once invoked, about $0.0003 per session on Opus 5.5. 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.

Related

customer-story-setup compared with skills from other repositories

customer-story-setup next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
customer-story-setuplangfuse/langfuse-docsSkill249todayMITA81Claude Code, Codex
create-atomic-toolEigenwise/atomic-agentsSkill6.3k8d agoMITA99Claude Code
frameworkEigenwise/atomic-agentsSkill6.3k8d agoMITA74Claude Code
create-atomic-agentEigenwise/atomic-agentsSkill6.3k8d agoMITA93Claude Code
create-atomic-context-providerEigenwise/atomic-agentsSkill6.3k8d agoMITA106Claude Code
create-atomic-schemaEigenwise/atomic-agentsSkill6.3k8d agoMITA89Claude Code
new-appEigenwise/atomic-agentsSkill6.3k8d agoMITA76Claude Code