langfuse
Use Langfuse for LLM observability and evaluation and look up Langfuse documentation.
Skill by HybridAIOne
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/hybridaione-langfuse
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About
Use cases: documents, data, ml, security
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/langfuse
What's inside
- Skill name
langfuse- Description
- Use Langfuse for LLM observability and evaluation and look up Langfuse documentation. In HybridClaw, data access (traces, observations, sessions, scores, prompts, datasets, metrics) goes through the gateway-proxied langfuse.cjs helper with SecretRef auth — reads are green, writes are grant-gated. Documentation retrieval uses langfuse.com llms.txt, markdown pages, and search-docs. Covers instrumentation, prompt migration, error analysis, and LLM-as-a-judge calibration.
- License
- MIT
- Instructions
- 212 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Files (14)
- NOTICE.md
- SKILL.md
- scenarios.json · evals/
- langfuse.cjs
- ci-cd.md · references/
- cli.md · references/
- error-analysis.md · references/
- instrumentation.md · references/
- judge-calibration.md · references/
- operator-setup.md · references/
- prompt-migration.md · references/
- sdk-upgrade.md · references/
- skill-feedback.md · references/
- user-feedback.md · references/
SKILL.md (first lines)
# Langfuse
This skill helps you use Langfuse effectively across all common workflows:
instrumenting applications, migrating prompts, debugging traces, accessing data,
and evaluating outputs.
> **HybridClaw integration.** This is the official Langfuse skill
> ([github.com/langfuse/skills](https://github.com/langfuse/skills), MIT)
> adapted for HybridClaw. Two things differ from the upstream skill:
>
> 1. **Credentials never leave the gateway.** Do not export
> `LANGFUSE_PUBLIC_KEY` / `LANGFUSE_SECRET_KEY`, run `npx langfuse-cli`, or
> paste keys anywhere. Store them once in the runtime stores (below); the
> gateway injects them server-side.
> 2. **Data access goes through `langfuse.cjs`**, not the Langfuse CLI. The
> helper builds each REST request and sends it through the HybridClaw gateway,
> which resolves `Authorization: Basic <secret:LANGFUSE_BASIC_AUTH>` and the
> `<env:LANGFUSE_HOST>` base URL. Wherever a reference says to run
> `langfuse-cli` or `curl -H "Authorization: Basic $AUTH"`, use the helper
> instead. Documentation retrieval (section 2) is unchanged.
## HybridClaw setup
The helper never sees credentials. Store two values once. For secrets, use this
order:
1. Browser admin: open the active HybridClaw admin URL ending in `/admin/secrets`.
2. Browser `/chat` or TUI fallback.
3. Local console fallback.
1. `LANGFUSE_BASIC_AUTH` — base64 of `public-key:secret-key`:
`/secret set LANGFUSE_BASIC_AUTH "<base64-public-colon-secret>"`
2. `LANGFUSE_HOST` — your Langfuse base URL:
`/env set LANGFUSE_HOST https://cloud.langfuse.com` (use
`https://us.cloud.langfuse.com` for US, `https://jp.cloud.langfuse.com` for
JP, or your self-hosted origin).
Local console fallback: `hybridclaw secret set LANGFUSE_BASIC_AUTH "<...>"`
and `hybridclaw env set LANGFUSE_HOST https://cloud.langfuse.com`.
See [references/operator-setup.md](references/operator-setup.md) for key scope,
host selection, autonomy defaults, and network-policy notes.
## Core Principles
Follow these principles for ALL Langfuse work:
1. **Documentation first**: never implement from memory. Langfuse updates
frequently — fetch current docs (section 2) before writing instrumentation or
SDK code.
2. **Helper for data access**: use `langfuse.cjs` (gateway + SecretRef) when
querying or modifying Langfuse data. It owns endpoints, methods, bodies,
stakes tiers, host, and the Basic auth placeholder.
3. **Best practices by use case**: check the relevant reference below before
implementing.
4. **Use latest Langfuse versions**: unless the user says otherwise, target the
latest Langfuse SDKs/APIs.
## Use-case references
- instrumenting an existing function/application:
[references/instrumentation.md](references/instrumentation.md)
- migrating prompts from a codebase into Langfuse:
[references/prompt-migration.md](references/prompt-migration.md)
- capturing user feedback (thumbs, ratings, implicit signals) as scores:
[references/user-feedback.md](references/user-feedback.md)
- systematic error analysis — reading traces, building a failure taxonomy,
deciding what to fix: [references/error-analysis.md](references/error-analysis.md)
- judge calibration (LLM-as-a-Judge reliability, accuracy checks, confusion
matrices, metric ingestion):
[references/judge-calibration.md](references/judge-calibration.md)
- upgrading or migrating Langfuse SDKs:
[references/sdk-upgrade.md](references/sdk-upgrade.md)
- CI/CD experiment gates with `langfuse/experiment-action`:
[references/ci-cd.md](references/ci-cd.md)
- raw Langfuse REST/CLI semantics (endpoints, pagination, v2 vs legacy):
[references/cli.md](references/cli.md)
- HybridClaw credential, host, autonomy, and network-policy setup:
[references/operator-setup.md](references/operator-setup.md)
- submitting feedback about this skill:
[references/skill-feedback.md](references/skill-feedback.md)
## 1. Langfuse data access (HybridClaw gateway helper)
`langfuse.cjs` is the API wrapper. Do not handcraft Langfuse API URLs, JSON
bodies, tiers, host, or the Basic auth header from memory.
```bash
node skills/langfuse/langfuse.cjs --help
```
- **plan** classifies a natural-language request into an operation + tier:
`node skills/langfuse/langfuse.cjs --format json plan "average eval score this week"`
- **run** executes a live request through the gateway (the gateway injects the
Basic auth header):
`node skills/langfuse/langfuse.cjs --format json run list-traces --user-id alice --limit 50`
- **http-request** emits the gateway-ready payload without calling Langfuse —
use it for dry-run inspection or runtimes without helper gateway access.
Read examples (green):
```bash
node skills/langfuse/langfuse.cjs --format json run get-trace --trace-id abc123
node skills/langfuse/langfuse.cjs --format json run list-observations --type GENERATION --trace-id abc123
node skills/langfuse/langfuse.cjs --format json run list-scores --name quality
node skills/langfuse/langfuse.cjs --format json run get-prompt --prompt-name support-reply --label production
node skills/langfuse/langfuse.cjs --format json run metrics --query '{"view":"traces","metrics":[{"measure":"count","aggregation":"count"}]}'
```
Guarded write examples (amber — only after an explicit operator grant):
```bash
node skills/langfuse/langfuse.cjs --format json run create-score \
--trace-id abc123 --name quality --value 0.8 --data-type NUMERIC --comment "reviewed" --operator-grant
node skills/langfuse/langfuse.cjs --format json run create-prompt \
--name summarizer --type text --prompt "Summarize: {{input}}" --label production --operator-grant
```
Select region or self-hosted host explicitly (otherwise `<env:LANGFUSE_HOST>`):From HybridAIOne/hybridclaw, MIT.
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Signals
- Stars
- 159
- Forks
- 17
- Open issues
- 323
- Last commit (this folder)
- Sep 3, 2026 (1 month ago)
- Last release
- Oct 24, 2026 (3 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/HybridAIOne/hybridclaw
- Website
- www.hybridclaw.io/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
langfuse skill. Agent Mart. https://agentmart.dev/skills/hybridaione-langfuse (last updated 2026-10-24)