Borrowing it
Nothing to install: this file belongs to langfuse/skills. 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/langfuse/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/langfuse/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/instructions/langfuse/skills/agents-md)<a href="https://agentmods.dev/instructions/langfuse/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/langfuse/skills/agents-md/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/instructions/langfuse/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/langfuse/skills/agents-md.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 | $0.01400 | $0.01400 |
| Opus 5.5 | $0.00560 | $0.00560 |
| Sonnet 5.5 | $0.00280 | $0.00280 |
| Haiku 4.5 | $0.00140 | $0.00140 |
Grade A, and why
skills AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
Adding or Improving a Skill Use Case
FOLLOW THESE INSTRUCTIONS RELIGIOUSLY. After every edit you make, come back to these principles and judge critically whether you adhered to them. Fix your edits if not.
-
Only add a use case if it beats the docs. If an agent can already serve the user by fetching the Langfuse docs, add nothing. Reserve new content for where docs fall short and the agent needs extra context. Every addition is maintenance surface and dilutes the skill.
-
You should almost never touch the top-level frontmatter
descriptioninSKILL.md. It only controls whether the skill is invoked, and a user asking about a use case already mentions Langfuse or evaluation — which triggers it. Keep it short; in-skill routing handles the rest. -
Put "when to use" guidance in exactly two places: exactly one one-line entry per reference in the
## Use case specific referenceslist inSKILL.md, and thedescriptionin the reference file's frontmatter. Nowhere else — no prose routing section, no "when to use" section in the reference body. A reference body is read only after the agent already chose to open it, so routing text there is dead weight. -
Every line must earn its place. Add only what's useful or what an agent couldn't infer on its own. Cut filler, restatements, self-explanatory steps, and anything the agent will already have from the relevant docs or task context. Keep new use-case references at 100 lines or fewer, including frontmatter; this is a maximum, if you exceed this length, you are likely producing slop.
-
Never commit code. Link to the relevant Langfuse docs page so the agent fetches current code; use pseudo-code only for logic-specific bits. Committed code goes stale.
-
Be cautious with
allowed-tools. A tool not in the list still works — the user just grants permission the first time. Only auto-allow commands users would find a no-brainer (today: read-only langfuse-specific commands only). A risky auto-allow can make people hesitate to install the skill at all.
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 Changed · +1 lines · +19 tokens per session 9c6a4339963d
- 1mo ago Changed · -7 lines · -137 tokens per session ca1998720709
- 2mo ago First seen · 69 lines · 1,518 tokens per session scan A 4abe8d3026c5
skills AGENTS.md is an instructions file published in the GitHub repository langfuse/skills (333 stars, last pushed 2d ago), licensed MIT. It adds 1,400 tokens to every session, about $0.0056 per session on Opus 5.5. 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 2026-08-30.
skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skills AGENTS.mdlangfuse/skills | Instructions file | 333 | 2d ago | MIT | A | 1,400 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |