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 john-walkoe/pinecone_assistant_mcp --skill pinecone-assistant-usptogit clone --depth 1 https://github.com/john-walkoe/pinecone_assistant_mcpWrote 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/john-walkoe/pinecone_assistant_mcp/pinecone-assistant-uspto)<a href="https://agentmods.dev/skills/john-walkoe/pinecone_assistant_mcp/pinecone-assistant-uspto"><img src="https://agentmods.dev/badge/skills/john-walkoe/pinecone_assistant_mcp/pinecone-assistant-uspto/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/john-walkoe/pinecone_assistant_mcp/pinecone-assistant-uspto"><img src="https://agentmods.dev/badge/skills/john-walkoe/pinecone_assistant_mcp/pinecone-assistant-uspto.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 | $0.00173 | $0.03124 |
| Opus 5 | $0.00086 | $0.01562 |
| Sonnet 5 | $0.00035 | $0.00625 |
| Haiku 4.5 | $0.00017 | $0.00312 |
Grade A, and why
pinecone-assistant-uspto 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 10d 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 — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pinecone Assistant MCP - USPTO Patent Law Research Skill
This skill extends the base pinecone-assistant skill with USPTO-specific domain knowledge, query patterns, and multi-MCP integration workflows. The pinecone_assistant MCP serves as the knowledge layer (MPEP, guidelines, case law) that complements the data-access USPTO MCPs.
USPTO MCP Ecosystem
| MCP | Role | What It Provides |
|---|---|---|
| pinecone_assistant | Knowledge layer | MPEP guidance, examination standards, case law |
| PFW MCP | Data access | Prosecution history, file wrapper documents |
| PTAB MCP | Data access | IPR/PGR proceedings, board decisions |
| FPD MCP | Data access | First petition data, petition decisions |
| Citations MCP | Data access | Prior art citations, examiner citation patterns |
Always pair pinecone_assistant with the appropriate data MCP for complete research.
Domain Selection Guide
Match the patent law issue to the correct domain for assistant_strategic_multi_search_context or assistant_strategic_multi_search_chat:
| Legal Issue | Domain | When to Use |
|---|---|---|
| Alice/Mayo, abstract idea, software eligibility | section_101_eligibility |
Any §101 rejection or eligibility question |
| KSR, Graham factors, motivation to combine | section_103_obviousness |
Any §103 rejection or obviousness analysis |
| Written description, enablement, Wands factors | section_112_requirements |
Any §112 rejection or specification question |
| Anticipation, single reference, inherent disclosure | section_102_novelty |
Any §102 rejection or novelty analysis |
| Phillips standard, prosecution history estoppel | claim_construction |
Claim scope disputes, litigation, licensing |
| IPR institution, BRI, PTAB estoppel | ptab_procedures |
Post-grant proceedings, IPR/PGR analysis |
| Computer-implemented inventions, AI/ML patents | software_patents |
Tech center 2100/2400 software/AI patents |
| Manufacturing, structural features, TC 3600/3700 | mechanical_patents |
Mechanical invention examination |
| Broad patent law questions, unknown issue | general_patent_law |
Starting point when issue is unclear |
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.
- 10d ago First seen · 350 lines · 173 tokens per session scan A 2a89713ad69d
pinecone-assistant-uspto is a skill published in the GitHub repository john-walkoe/pinecone_assistant_mcp (1 stars, last pushed 6mo ago), licensed MIT. It adds 173 tokens to every session and 3,124 once invoked, about $0.0009 per session on Opus 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 2026-08-31.
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