Borrowing it
Nothing to install: this file belongs to Sesame2/langfuse-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Sesame2/langfuse-mcp/main/.agent/skills/langfuse-trace-export/SKILL.mdgit clone --depth 1 https://github.com/Sesame2/langfuse-mcpWrote 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.
[](https://agentmods.dev/skills/sesame2/langfuse-mcp/langfuse-trace-export)<a href="https://agentmods.dev/skills/sesame2/langfuse-mcp/langfuse-trace-export"><img src="https://agentmods.dev/badge/skills/sesame2/langfuse-mcp/langfuse-trace-export/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.
<a href="https://agentmods.dev/skills/sesame2/langfuse-mcp/langfuse-trace-export"><img src="https://agentmods.dev/badge/skills/sesame2/langfuse-mcp/langfuse-trace-export.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00076 | $0.01445 |
| Opus 5 | $0.00038 | $0.00723 |
| Sonnet 5 | $0.00015 | $0.00289 |
| Haiku 4.5 | $0.00008 | $0.00145 |
Grade A, and why
langfuse-trace-export 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Langfuse Trace Export
Download complete Langfuse traces (detail_level=full) directly to local JSON files with one script command. The script talks to the fixed gateway HTTP endpoint by itself — it does NOT require any MCP server to be registered in the agent, and it keeps the payload out of the agent context, returning only a small JSON summary.
Zero-interaction policy
Minimize interaction. When the user invocation already contains an ID and an environment (e.g. /langfuse-trace-export SES_2083147782008475648 test or 帮我导出测试环境 session SES_xxx), run the export command immediately without asking anything.
- IDs starting with
SES_(or explicitly called session/会话) are session IDs → use--session-id. - Other IDs are trace IDs → use
--trace-id. - Environment words map as: 测试→
test,开发→dev,预发→pre,生产/线上→onl.
Only ask when something required is truly missing, and ask for all missing values in a single question:
- missing environment → ask once with the four choices
test/dev/pre/onl; - missing ID → ask for the session_id or trace_id in the same question.
Never infer an environment. Never ask twice.
Fixed environment → gateway mapping (do not accept a custom URL):
| Environment | Gateway URL |
|---|---|
test, dev |
http://mcp-gw.test.maxiot-inc.com/mcp_langfuse_test/mcp |
pre, onl |
https://mcp-gw.pre.maxiot-inc.com/mcp_langfuse/mcp |
Session export (preferred)
Export every trace of a session in one command, run from the target project root:
python3 <langfuse-trace-export skill directory>/scripts/export_trace.py \
--environment "<test|dev|pre|onl>" \
--session-id "<session_id>" \
--project-root "<absolute project root>"
The script:
- Uses only the Python 3.9+ standard library; no project or third-party dependencies.
- Connects directly to the gateway with the fixed non-secret placeholder header and completes the MCP initialize handshake itself (no agent-side MCP registration needed).
- Discovers the
get_session_trace_listandget_tracetools (exact name or-<name>suffixed). - Pages through
get_session_trace_list(detail_level=compact)internally to collect all trace IDs — pagination stays inside the script, never in the agent. - Fetches each trace with
get_trace(detail_level=full). If Langfuse rejects a trace because its observations exceed the server's single-response limit, fetches trace fields withlist_traces(fields=core,io,scores,metrics)and all observations with pagedlist_observations(detail_level=full, limit=100), then validates and reconstructs the complete trace. - Writes each trace atomically to:
What ships with it
2 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.
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.
- 8d ago First seen · 106 lines · 76 tokens per session scan A 6ad6eab8eb65
langfuse-trace-export is a skill published in the GitHub repository Sesame2/langfuse-mcp (0 stars, last pushed 29d ago), licensed MIT. It adds 76 tokens to every session and 1,445 once invoked, about $0.0004 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 2026-08-31.
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