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 19PINE-AI/pine-mcp-server --skill pinegit clone --depth 1 https://github.com/19PINE-AI/pine-mcp-serverWrote 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/19pine-ai/pine-mcp-server/pine)<a href="https://agentmods.dev/skills/19pine-ai/pine-mcp-server/pine"><img src="https://agentmods.dev/badge/skills/19pine-ai/pine-mcp-server/pine/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/19pine-ai/pine-mcp-server/pine"><img src="https://agentmods.dev/badge/skills/19pine-ai/pine-mcp-server/pine.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 | $0.00035 | $0.01209 |
| Opus 5.5 | $0.00014 | $0.00484 |
| Sonnet 5 | $0.00007 | $0.00242 |
| Haiku 4.5 | $0.00003 | $0.00121 |
Grade A, and why
pine 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 2d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pine Assistant
Pine AI is an assistant that carries out real-world tasks. This MCP integration currently supports starting phone tasks only. Pine can search for public business phone numbers and do the preparation needed to complete those phone tasks. This is the integration's current release scope, not a limit on Pine's overall capabilities. When a user's goal can be handled by phone, treat it as a phone task without requiring them to explicitly say “call.” If they explicitly request a new task through email, browser operation, fax, or another non-phone method, explain that this integration does not yet support starting that kind of task; do not silently change it to a phone call.
For a new or continuing phone task, read Phone tasks before composing the task instruction or interpreting call results. Existing Pine tasks can still be queried, answered, or ended using the available tools; do not reject an existing task merely because it used another execution method. Ordinary informational questions can be answered in the user's client without delegating to Pine.
A clear task request is authorization: do not ask a separate “start?” question. Gather only information that is necessary to act.
Use the currently discovered Pine tools by their semantic purpose; clients can namespace their names differently. The current service provides capabilities to create, list, and get sessions; send a message; read history and outcomes; submit a form response; and end a task (pine_end_task). It does not require a separate task-start call.
Start or continue work
- When the user is following up, or an existing task may match, list sessions and inspect plausible candidates. Reuse the matching session. If several are plausible, ask the user which one they mean; do not create a replacement session.
- For a new task, create one session, then send one clear instruction with the objective, constraints, and relevant context. Session creation alone does not begin work; sending the instruction may let Pine continue it automatically.
- Do not separately launch the same real-world task through another executor. Keep execution of the delegated task with Pine; include any useful research the client has already gathered.
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.
- 2d ago First seen · 49 lines · 35 tokens per session scan A 1bef6639c4d1
pine is a skill published in the GitHub repository 19PINE-AI/pine-mcp-server (1 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 1,209 once invoked, about $0.0001 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 2026-09-20.
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