pinecone-docs

pinecone-docs is a skill for Cursor from pinecone-io/pinecone-cursor-plugin. It costs 51 tokens per session (857 once invoked), scanned A, a copy of pinecone:docs, MIT.

A curated reference to Pinecone's developer documentation. Pinecone is a hosted database for searching text and other data using vectors, which represent meaning numerically.

In plain words
What is it for?
Use it to find Pinecone documentation for setup, concepts, text and vector data modelling, database architecture, and the Assistant feature.
Why use it?
It provides links to official guidance when writing Pinecone code or checking concepts, data formats, parameters, and database architecture. The provided details do not describe any direct automation.

Skill for Cursor

Written for Cursor: shipped in a Cursor plugin. Also seen: mentions Claude Code.

Part of the pinecone plugin — 9 skills shipped together

Good fit Use it to find Pinecone documentation for setup, concepts, text and vector data modelling, database architecture, and the Assistant feature.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pinecone-io/pinecone-cursor-plugin/pinecone-docs
Install

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.

Any agent
npx skills add pinecone-io/pinecone-cursor-plugin --skill pinecone-docs
Clone the repo
git clone --depth 1 https://github.com/pinecone-io/pinecone-cursor-plugin

Made for: Cursor.

Or install pinecone, the plugin that ships this one along with the rest of its 9 skills.

Wrote 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.

agentmods badge for pinecone-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/pinecone-io/pinecone-cursor-plugin/pinecone-docs/github.svg)](https://agentmods.dev/skills/pinecone-io/pinecone-cursor-plugin/pinecone-docs)
Your own site
<a href="https://agentmods.dev/skills/pinecone-io/pinecone-cursor-plugin/pinecone-docs"><img src="https://agentmods.dev/badge/skills/pinecone-io/pinecone-cursor-plugin/pinecone-docs/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.

agentmods 80×15 button for pinecone-docs

Your own site · 80×15
<a href="https://agentmods.dev/skills/pinecone-io/pinecone-cursor-plugin/pinecone-docs"><img src="https://agentmods.dev/badge/skills/pinecone-io/pinecone-cursor-plugin/pinecone-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 857 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00857
Opus 5.5 $0.00020 $0.00343
Sonnet 5.5 $0.00010 $0.00171
Haiku 4.5 $0.00005 $0.00086

Measured 1mo ago against content hash c12c08c391ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pinecone-docs 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.

Origin

This is a copy

98% identical to pinecone:docs — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/pinecone-docs/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pinecone Developer Reference

A curated index of Pinecone documentation. Fetch the relevant page(s) for the task at hand rather than relying on training data.


NOTE TO AGENT

Please attempt to fetch the url listed when relevant. If you run into an error, please attempt to append ".md" to the url to retrieve the markdown version of the Docs page.

In case you need it: A full reference to ALL relevant URLs can be found here: https://docs.pinecone.io/llms.txt

Use this as a last resort if you cannot find the relevant page below.


Getting Started

Topic URL
Quickstart for all languages and coding environments (Cursor, Claude Code, n8n, Python, JavaScript, Java, Go, C#) https://docs.pinecone.io/guides/get-started/quickstart
Pinecone concepts — namespaces, terminology, and key database concepts https://docs.pinecone.io/guides/get-started/concepts
Data modeling for text and vectors https://docs.pinecone.io/guides/index-data/data-modeling
Architecture of Pinecone https://docs.pinecone.io/guides/get-started/database-architecture
Pinecone Assistant overview https://docs.pinecone.io/guides/assistant/overview

Indexes

Topic URL
Create an index https://docs.pinecone.io/guides/index-data/create-an-index
Index types and conceptual overview https://docs.pinecone.io/guides/index-data/indexing-overview
Integrated inference (built-in embedding models) https://docs.pinecone.io/guides/index-data/indexing-overview#integrated-embedding
Dedicated read nodes — predictable low-latency performance at high query volumes https://docs.pinecone.io/guides/index-data/dedicated-read-nodes

Upsert & Data

Topic URL
Upsert vectors and text https://docs.pinecone.io/guides/index-data/upsert-data
Multitenancy with namespaces https://docs.pinecone.io/guides/index-data/implement-multitenancy

Topic URL
Semantic search https://docs.pinecone.io/guides/search/semantic-search
Hybrid search https://docs.pinecone.io/guides/search/hybrid-search
Lexical search https://docs.pinecone.io/guides/search/lexical-search
Full-text search (preview) — document-schema FTS indexes with text / query_string / dense / sparse scoring https://docs.pinecone.io/guides/search/full-text-search
Metadata filtering — narrow results and speed up searches https://docs.pinecone.io/guides/search/filter-by-metadata

Read the full file on GitHub · 87 lines

Files

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.

Changes

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.

  1. 1mo ago First seen · 87 lines · 51 tokens per session scan A c12c08c391ef

Subscribe to this mod's changes

pinecone-docs is a skill published in the GitHub repository pinecone-io/pinecone-cursor-plugin (2 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 857 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to pinecone:docs, differing in 3 lines, and is treated as a copy.

Related

Other skills, from other repositories

rag

Use when building grounded Q&A over your own corpus — chunk, retrieve hybrid, rerank, ground, cite chunk ids, refuse when the sources fall short — or when the right document is retrieved but the answer is still wrong, invented, or unmeasured. NOT operating the store itself — collection schema, HNSW efsearch…

ericrisco/rsc-harness · 79 tokens

assessing-vector-and-embedding-weaknesses

Test vector stores for embedding inversion, cross-tenant leakage, and poisoning.

adriannoes/awesome-agentic-ai · 26 tokens

pinecone:full-text-search

Create, ingest into, and query a Pinecone full-text-search (FTS) document index using the graduated document-schema API (Python SDK 10.0.0, API version 2026-07). Use when the user or agent asks to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct scoreby clauses…

pinecone-io/pinecone-claude-code-plugin · 163 tokens

pinecone:n8n

Build n8n workflows using the Pinecone Assistant node or Pinecone Vector Store node. Use when building RAG pipelines, chat-with-docs workflows, configuring Pinecone nodes in n8n, troubleshooting Pinecone n8n nodes, or asking about best practices for Pinecone in n8n.

pinecone-io/pinecone-claude-code-plugin · 67 tokens

pinecone:quickstart

Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time or wants a guided…

pinecone-io/pinecone-claude-code-plugin · 79 tokens

pinecone:cli

Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, CI/CD automation…

pinecone-io/pinecone-claude-code-plugin · 75 tokens