Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add avivsinai/skills-marketplace --skill langfusegit clone --depth 1 https://github.com/avivsinai/skills-marketplaceWrote 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/avivsinai/skills-marketplace/langfuse)<a href="https://agentmods.dev/skills/avivsinai/skills-marketplace/langfuse"><img src="https://agentmods.dev/badge/skills/avivsinai/skills-marketplace/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.
<a href="https://agentmods.dev/skills/avivsinai/skills-marketplace/langfuse"><img src="https://agentmods.dev/badge/skills/avivsinai/skills-marketplace/langfuse.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 | $0.00048 | $0.00521 |
| Opus 5.5 | $0.00019 | $0.00208 |
| Sonnet 5.5 | $0.00010 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
langfuse 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 22d 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.
This is a copy
100% identical to langfuse — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
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:
langfuse-mcp --read-only # or LANGFUSE_MCP_READ_ONLY=true -
Never 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.
What ships with it
3 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.
- 22d ago Changed ffde368c0d05
- 1mo ago Changed 722da5e982ac
- 1mo ago Changed eb33e4d5294f
- 1mo ago Changed e3c167b2e1b7
- 1mo ago Changed · -223 lines · -28 tokens per session scan B → A 6e444e0f6f7e
- 2mo ago First seen · 276 lines · 76 tokens per session scan B 88cd0d4e7cef
langfuse is a skill published in the GitHub repository avivsinai/skills-marketplace (2 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 521 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to langfuse, differing in 2 lines, and is treated as a copy.
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