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-batch-ingestgit 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-batch-ingest)<a href="https://agentmods.dev/skills/dorianschlede/nexus-template/langfuse-batch-ingest"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/langfuse-batch-ingest/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-batch-ingest"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/langfuse-batch-ingest.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 | $0.00292 |
| Opus 5 | $0.00016 | $0.00146 |
| Sonnet 5 | $0.00006 | $0.00058 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
langfuse-batch-ingest 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 9d 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.
What it actually says
Batch Ingest
Ingest multiple traces, spans, generations, and events in a single request.
Usage
uv run python scripts/batch_ingest.py --file events.json
uv run python scripts/batch_ingest.py --batch '[{"type": "trace-create", "body": {...}}]'
Parameters
| Parameter | Required | Description |
|---|---|---|
--file |
No | JSON file with batch array |
--batch |
No | JSON string of batch array |
Batch Format
{
"batch": [
{
"type": "trace-create",
"body": { "id": "trace-1", "name": "my-trace" }
},
{
"type": "span-create",
"body": { "traceId": "trace-1", "name": "my-span" }
}
]
}
Supported Types
trace-createspan-create,span-updategeneration-create,generation-updateevent-createscore-create
API Reference
POST /api/public/ingestion
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.
- 9d ago First seen · 54 lines · 32 tokens per session scan A 250bdab358ae
langfuse-batch-ingest 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 292 once invoked, about $0.0002 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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