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 DorianSchlede/nexus-template --skill langfuse-get-promptgit clone --depth 1 https://github.com/DorianSchlede/nexus-templateWrote 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/dorianschlede/nexus-template/langfuse-get-prompt)<a href="https://agentmods.dev/skills/dorianschlede/nexus-template/langfuse-get-prompt"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/langfuse-get-prompt/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/dorianschlede/nexus-template/langfuse-get-prompt"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/langfuse-get-prompt.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 | $0.00032 | $0.00241 |
| Opus 5 | $0.00016 | $0.00120 |
| Sonnet 5 | $0.00006 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
langfuse-get-prompt 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 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.
Asks the agent to reveal its instructionslowSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
description: "Get a Langfuse prompt by name. Load when user says 'get prompt', 'show prompt', 'prompt details'." Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
What it actually says
Get Prompt
Retrieve a specific prompt from Langfuse by name, optionally with specific version or label.
Usage
CLI
# Get latest version
uv run python scripts/get_prompt.py --name "my-prompt"
# Get specific version
uv run python scripts/get_prompt.py --name "my-prompt" --version 2
# Get by label
uv run python scripts/get_prompt.py --name "my-prompt" --label production
Parameters
| Parameter | Type | Description |
|---|---|---|
| --name | string | Required. Prompt name |
| --version | int | Specific version number |
| --label | string | Label to fetch (e.g., "production") |
API Reference
GET /api/public/v2/prompts/{promptName}
Query Parameters:
version(int): Specific version numberlabel(string): Label to fetch
What ships with it
1 file 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 · 41 lines · 32 tokens per session scan A dc5f68d5e426
langfuse-get-prompt is a skill published in the GitHub repository DorianSchlede/nexus-template (8 stars, last pushed 7mo ago), licensed MIT. It adds 32 tokens to every session and 241 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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