Agents Operation
fazer-ai/agents
Modo operação do fazer.ai agents: debugar conversas em produção e corrigir comportamentos inesperados do agente.
Investigate AI traces, observations, exceptions, latency, sessions, prompts, datasets, annotation queues, and scores through Langfuse MCP.
Install Langfuse
$ npx skills add avivsinai/langfuse-mcp --skill langfuse -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install avivsinai/langfuse-mcp langfuse --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/avivsinai/langfuse-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/langfuse .claude/skills/langfuse && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "langfuse" agent skill from https://github.com/avivsinai/langfuse-mcp/tree/main/skills/langfuse into .claude/skills/langfuse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/avivsinai/langfuse-mcp/tree/main/skills/langfuseType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add avivsinai/langfuse-mcp --skill langfuse -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install avivsinai/langfuse-mcp langfuse --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/avivsinai/langfuse-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/langfuse .agents/skills/langfuse && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "langfuse" agent skill from https://github.com/avivsinai/langfuse-mcp/tree/main/skills/langfuse into .agents/skills/langfuse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add avivsinai/langfuse-mcp --skill langfuse -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install avivsinai/langfuse-mcp langfuse --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/avivsinai/langfuse-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/langfuse .cursor/skills/langfuse && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "langfuse" agent skill from https://github.com/avivsinai/langfuse-mcp/tree/main/skills/langfuse into .cursor/skills/langfuse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/avivsinai/langfuse-mcp.git --path skills/langfuse--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add avivsinai/langfuse-mcp --skill langfuse -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install avivsinai/langfuse-mcp langfuse --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/avivsinai/langfuse-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/langfuse .gemini/skills/langfuse && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "langfuse" agent skill from https://github.com/avivsinai/langfuse-mcp/tree/main/skills/langfuse into .gemini/skills/langfuse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install avivsinai/langfuse-mcp langfuseInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add avivsinai/langfuse-mcp --skill langfuse -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/avivsinai/langfuse-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/langfuse .github/skills/langfuse && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "langfuse" agent skill from https://github.com/avivsinai/langfuse-mcp/tree/main/skills/langfuse into .github/skills/langfuse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add avivsinai/langfuse-mcp --skill langfuse -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install avivsinai/langfuse-mcp langfuse --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/avivsinai/langfuse-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/langfuse .opencode/skills/langfuse && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "langfuse" agent skill from https://github.com/avivsinai/langfuse-mcp/tree/main/skills/langfuse into .opencode/skills/langfuse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langfuse", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
langfuse- GitHub stars
- 113
- Used in
- 1 other repo
- Token cost
- ~580 tokens
- SKILL.md length
- 242 words
- Files
- 4 (incl. references)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- MIT
At a glance
Investigate AI traces, observations, exceptions, latency, sessions, prompts, datasets, annotation queues, and scores through Langfuse MCP.
- The request names Langfuse
- SKILL.md covers Route the task and Evidence and mutation boundaries
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Asks to diagnose recorded AI behavior
What it does
Langfuse is an agent skill from avivsinai/langfuse-mcp. Investigate AI traces, observations, exceptions, latency, sessions, prompts, datasets, annotation queues, and scores through Langfuse MCP. Use when the request names Langfuse or asks to diagnose recorded AI behavior.
Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/setup.md`, `references/tool-reference.md` and `references/workflows.md`).
It sits in AI & LLM Engineering, covering LLM observability. It works with Langfuse and Model Context Protocol. The repository describes itself as: A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability. The licence is MIT.
When your agent uses it
- The request names Langfuse
- Asks to diagnose recorded AI behavior
Example prompts
- “/langfuse”
What it can do on your machine
Read from SKILL.md and the folder at commit 3d16560. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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 580 tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 242 words of instructions outside code blocks.
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
Auto-check passed
The automated check found no risky patterns in SKILL.md.
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 avivsinai/langfuse-mcp at commit 3d16560, republished under its MIT licence (© avivsinai). 242 words, ~580 tokens.
Download SKILL.mdSave it as
.claude/skills/langfuse/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- langfuse
- description
- Investigate AI traces, observations, exceptions, latency, sessions, prompts, datasets, annotation queues, and scores through Langfuse MCP. Use when the request names Langfuse or asks to diagnose recorded AI behavior.
- version
- 0.13.0
- metadata.short-description
- Langfuse observability via MCP
- metadata.compatibility
- claude-code, codex-cli
Langfuse
Use Langfuse evidence to move from a broad symptom to the relevant trace, observation, session, prompt, or dataset. Start with the narrowest read-only query that can locate the event, then inspect its concrete inputs, outputs, timing, and errors.
Route the task
- For trace, observation, exception, latency, or session diagnosis, read diagnostic and management workflows.
- For installation, credentials, tool groups, output defaults, connection failures, or empty results, read setup.
- For exact parameters, filters, pagination, output modes, and response shapes, read the tool reference.
A common investigation starts with fetch_traces(age=60) or
find_exceptions(age=1440, group_by="file"), then fetches the selected trace or
observation by ID. Use full_json_file only when the complete payload is needed;
exports can contain sensitive user data.
Evidence and mutation boundaries
Treat model names, prompts, timestamps, and other values in historical traces as recorded evidence. Do not rewrite or normalize old model identifiers to a current name such as
gpt-6-astra.Trace discovery and inspection are read-only. Prompt creation or relabeling, dataset changes, annotation-queue changes, and deletions mutate Langfuse; perform them only when the user requested that change.
Prefer read-only server mode for diagnostic work. It disables prompt and dataset write tools:
bash langfuse-mcp --read-only # or LANGFUSE_MCP_READ_ONLY=trueNever commit Langfuse credentials. Keep public key, secret key, and host in the supported environment or MCP configuration described in the setup reference. Rotate any exposed key.
Preserve exact IDs and filters in findings so another reader can reproduce the query. State when pagination, lookback limits, or compact output limits the conclusion.
© avivsinai, 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 3 other files (references) in skills/langfuse of avivsinai/langfuse-mcp.
- SKILL.md
- references/setup.md
- references/tool-reference.md
- references/workflows.md
Open the folder on GitHubat commit 3d16560
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in avivsinai/langfuse-mcp, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Langfuse next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Langfuse this skillavivsinai/langfuse-mcp | 113 | 1 repos | ~580 | Automated safety check: Pass | MIT | |
| Agents Operationfazer-ai/agents | 118 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Agents Onboardingfazer-ai/agents | 118 | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| Langfuse Integration Pagelangfuse/langfuse-docs | 246 | — | ~3.7k | Automated safety check: Pass | MIT | |
| Langfuselangfuse/skills | 301 | — | ~2.1k | Automated safety check: Notes | MIT | |
| Agent Prompt Engineeringagentailor/fullstack-langgraph-nextjs-agent | 132 | — | ~3.6k | Automated safety check: Pass | MIT |
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fazer-ai/agents
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Langfuse Integration Page
langfuse/langfuse-docs
Create a new Langfuse integration page in the langfuse-docs repo.
Langfuse
langfuse/skills
Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications.
Agent Prompt Engineering
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Related
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Questions about Langfuse
What does Langfuse do?
Investigate AI traces, observations, exceptions, latency, sessions, prompts, datasets, annotation queues, and scores through Langfuse MCP. Langfuse is an agent skill from avivsinai/langfuse-mcp. Investigate AI traces, observations, exceptions, latency, sessions, prompts, datasets, annotation queues, and scores through Langfuse MCP.
When should I use Langfuse?
Langfuse fits situations like: the request names Langfuse; asks to diagnose recorded AI behavior.
How do I install Langfuse in Claude Code?
Run `npx skills add avivsinai/langfuse-mcp --skill langfuse -a claude-code`. Or copy the skill folder (skills/langfuse in avivsinai/langfuse-mcp) into .claude/skills/langfuse in your project. Claude Code loads it when a task matches its description.
How do I install Langfuse in Codex?
Run `npx skills add avivsinai/langfuse-mcp --skill langfuse -a codex`. Or copy the skill folder (skills/langfuse in avivsinai/langfuse-mcp) into .agents/skills/langfuse in your project. Codex loads it when a task matches its description.
Can I use Langfuse in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add avivsinai/langfuse-mcp --skill langfuse -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/langfuse, .gemini/skills/langfuse, .github/skills/langfuse and .opencode/skills/langfuse in your project.
What does Langfuse need to run?
SKILL.md names no scripts, command-line tools or credentials: Langfuse is instructions for the agent only.
Does Langfuse access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Langfuse safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Langfuse use?
Langfuse is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Langfuse use?
About 580 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.9k tokens, read only when the agent opens those files.
What are the alternatives to Langfuse?
Skills that share tags, products or a category with Langfuse: Agents Operation (fazer-ai/agents, 118 stars), Agents Onboarding (fazer-ai/agents, 118 stars), Langfuse Integration Page (langfuse/langfuse-docs, 246 stars) and Langfuse (langfuse/skills, 301 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Langfuse?
avivsinai (a GitHub user) maintains it in avivsinai/langfuse-mcp, which has 113 GitHub stars. The repository was last updated on October 11, 2026.
Source: avivsinai/langfuse-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.