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 agentmods add skills/pinecone-io/pinecone-cursor-plugin/pinecone-docsnpx skills add pinecone-io/pinecone-cursor-plugin --skill pinecone-docsgit clone --depth 1 https://github.com/pinecone-io/pinecone-cursor-pluginWhat 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 | $0.00051 | $0.00857 |
| Opus 5 | $0.00026 | $0.00428 |
| Sonnet 5 | $0.00010 | $0.00171 |
| Haiku 4.5 | $0.00005 | $0.00086 |
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 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.
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.
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 |
Search
| 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 |
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 · 87 lines · 51 tokens per session scan A c12c08c391ef
pinecone-docs is a skill published in the GitHub repository pinecone-io/pinecone-cursor-plugin (1 stars, last pushed 18d ago), licensed MIT. It adds 51 tokens to every session and 857 once invoked, about $0.0003 per session on Opus 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.
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