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.
git clone --depth 1 https://github.com/osouthgate/agent-plus-skillsWrote 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/plugins/osouthgate/agent-plus-skills/langfuse-remote)<a href="https://agentmods.dev/plugins/osouthgate/agent-plus-skills/langfuse-remote"><img src="https://agentmods.dev/badge/plugins/osouthgate/agent-plus-skills/langfuse-remote/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/plugins/osouthgate/agent-plus-skills/langfuse-remote"><img src="https://agentmods.dev/badge/plugins/osouthgate/agent-plus-skills/langfuse-remote.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
langfuse-remote 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 1mo 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
{
"name": "langfuse-remote",
"description": "Remote CLI for managing a Langfuse instance (cloud or self-hosted) — export/import prompts for backup and cross-env migration, smoke-test trace ingestion, health checks across multiple instances.",
"version": "0.6.0",
"agent_plus_version": ">=0.7",
"author": {
"name": "Oliver Southgate",
"url": "https://github.com/osouthgate"
},
"homepage": "https://github.com/osouthgate/agent-plus-skills",
"repository": "https://github.com/osouthgate/agent-plus-skills",
"license": "MIT",
"keywords": ["langfuse", "llm", "observability", "prompts", "backup", "migration"],
"refresh_handler": {
"command": "langfuse-remote whoami --json",
"timeout_seconds": 10,
"identity_keys": ["instances"],
"failure_mode": "soft"
}
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 117 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 1mo ago First seen · 21 lines scan A 0e3c7cff6686
langfuse-remote is a plugin published in the GitHub repository osouthgate/agent-plus-skills (2 stars, last pushed 5mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
Other plugins, from other repositories
data-analytics
Data governance, warehouse and semantic modeling, business intelligence, and AI/ML governance.
prompt-enhancer
Review enhanced prompts before sending them.
neo4j-skills
Agent skills for Neo4j graph database — Cypher queries, graph modeling, drivers, imports, GraphRAG, GDS, vector indexes, and Aura provisioning.
pixeltable
The backend agents build with: multimodal database, orchestration, and serving in one file. Tables, computed columns, vector search, RAG, tool-calling agents, and video, audio, image, and document pipelines across 25+ AI providers.
pixeltable
Pixeltable for Gemini CLI: build multimodal AI apps with declarative tables, computed columns, embedding search, and services; inspect and operate Pixeltable Cloud through its hosted MCP.
sciagent-skills
Life sciences computational skills for scientific AI agents — 197 skills covering genomics, proteomics, drug discovery, biostatistics, scientific computing, and scientific writing.