A tool for working with Langfuse, a service that records and evaluates how language-model applications run. It can use the Langfuse API to access traces, prompts, datasets, scores, sessions, and other stored data, as well as its documentation.

Use it to query or change Langfuse resources through the command line, look up integration and SDK instructions, and investigate language-model application records.

It gives an agent a defined way to inspect Langfuse data and learn how Langfuse integrations work. It also requires checking the connection and credentials before attributing missing data to the application.

How KonghaYao/peri configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to KonghaYao/peri. 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/KonghaYao/peri/main/.claude/skills/langfuse/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/KonghaYao/peri

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/konghayao/peri/langfuse/github.svg)](https://agentmods.dev/skills/konghayao/peri/langfuse)

Your own site

<a href="https://agentmods.dev/skills/konghayao/peri/langfuse"><img src="https://agentmods.dev/badge/skills/konghayao/peri/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/konghayao/peri/langfuse"><img src="https://agentmods.dev/badge/skills/konghayao/peri/langfuse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,374 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. 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: 2 findings, up to high

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 →

high Excessive Agency · line 87
Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
high Excessive Agency · line 135
Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00100	$0.05374
Opus 5.5	$0.00040	$0.02150
Sonnet 5.5	$0.00020	$0.01075
Haiku 4.5	$0.00010	$0.00537

Measured 1mo ago against content hash f41fc48b8557, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langfuse scanned grade A with 1 finding 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 1mo ago.

The scan reads SKILL.md. This mod also ships 13 executable files (scripts/analyze.ts, scripts/context-growth.mjs, scripts/daily-report.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Bash(curl *langfuse.com/*)

.claude/skills/langfuse/SKILL.md · 424 lines

How it starts

The opening of the file, as written. The whole thing — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Langfuse

数据来源与分析方式

数据来源 / 需求	使用方式
Langfuse trace、observation、session，或平台 API / 文档	下文 Langfuse CLI 与 TypeScript 脚本
本地 llm-gateway 的 `request.json`、`stream.log`，请求差异、缓存断点、上下文增长	本地网关日志分析，使用 `scripts/llm-log-query.mjs` 与 `scripts/context-growth.mjs`

本地日志方式不依赖 Langfuse API、凭据或网络，不执行下文远端凭据预检。
用户只说“分析日志”而未明确来源时，先根据已提供的路径或 trace 信息定位；仍无法确定再询问，不默认查询远端。
两种来源不能默认互相替代。跨来源对照需核实 session、请求标识和时间范围；未采集或未返回的字段标记为未检查。
原始日志可能包含凭据和私密内容，不直接展示 headers、完整请求体或原始响应；先使用摘要，内容下钻前确认已脱敏。

1. Langfuse API via CLI

Use langfuse-cli to interact with the full Langfuse REST API. Run via bunx (auto-loads .env):

bunx langfuse-cli api --help                              # 列出所有 resources
bunx langfuse-cli api <resource> --help                     # List actions for a resource
bunx langfuse-cli api <resource> <action> --help            # Show args for an action
bunx langfuse-cli api <resource> <action> [options]         # Execute

Credentials

bunx automatically loads .env. Ensure it contains:

LANGFUSE_PUBLIC_KEY=pk-lf-...
LANGFUSE_SECRET_KEY=sk-lf-...
LANGFUSE_HOST=https://cloud.langfuse.com  # Required

If credentials are missing, ask the user to add them to .env. Do not ask to paste keys in chat.

CLI Preflight and Query Integrity

Before attributing missing or malformed data to application behavior:

Confirm LANGFUSE_HOST or LANGFUSE_BASE_URL is set, credentials are present, and the selected host returns JSON rather than an HTML fallback. Never print credentials or authorization headers.
Discover the installed CLI schema with bunx langfuse-cli api --help and resource/action --help; resource names vary by CLI version, so do not assume observations-v2s or another historical alias exists.
For list endpoints, inspect pagination metadata and fetch every required page. The public API page limit is 100; a single page is not proof of completeness.
Record the requested field projection. If input/output fields were not requested or returned by the selected endpoint, report them as not inspected, not null or missing.
Stop business-level diagnosis on host/auth/schema failure. A 401, unsupported resource, HTML response, or truncated page set is a query precondition failure, not evidence about the trace producer.

Read the full file on GitHub · 424 lines

Files

What ships with it

22 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

1mo ago Changed · +14 lines f41fc48b8557
1mo ago First seen · 410 lines · 100 tokens per session scan A 9b26f3f64fe1

Subscribe to this mod's changes

langfuse is a skill published in the GitHub repository KonghaYao/peri (247 stars, last pushed today), licensed Apache-2.0. It adds 100 tokens to every session and 5,374 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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