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 smythmyke/patent-search-mcp-server --skill patent-research-workflowgit clone --depth 1 https://github.com/smythmyke/patent-search-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/smythmyke/patent-search-mcp-server/patent-research-workflow)<a href="https://agentmods.dev/skills/smythmyke/patent-search-mcp-server/patent-research-workflow"><img src="https://agentmods.dev/badge/skills/smythmyke/patent-search-mcp-server/patent-research-workflow/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/smythmyke/patent-search-mcp-server/patent-research-workflow"><img src="https://agentmods.dev/badge/skills/smythmyke/patent-search-mcp-server/patent-research-workflow.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 | $0.00095 | $0.01117 |
| Opus 5 | $0.00048 | $0.00558 |
| Sonnet 5 | $0.00019 | $0.00223 |
| Haiku 4.5 | $0.00010 | $0.00112 |
Grade A, and why
patent-research-workflow 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 12d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Patent Research Workflow
Guide for using the AI Patent Search Generator MCP connector to turn a US patent number into legal intelligence: bibliography, claims, prosecution history, PTAB validity challenges, district-court litigation, ownership chain, legal status, examiner statistics, and an AI risk verdict. All data is live from USPTO Open Data (US patents; file-wrapper coverage from 2001).
When to use this skill
Trigger when the user mentions: a US patent number (e.g. "US10867416B2", "patent 8,724,622"), "is this patent valid/alive/expired", "who owns this patent", "has this patent been challenged/litigated/sued over", "patent due diligence", "freedom to operate" (with the not-legal-advice caveat), "what are the claims of", "prosecution history / file wrapper", or "the examiner for this application".
Core workflow (patent number → intelligence)
-
Normalize the number. Tools accept loose input ("10,867,416", "us10867416") and normalize to canonical form (US10867416B2). US patents only — say so if the user asks about EP/WO/CN numbers.
-
Start with the question's cheapest sufficient tool (don't open with the dossier if a free lookup answers it):
- "Still in force? When does it expire?" →
legal_status(free) - "Who owns it? Chain of title?" →
assignments(free) - "Was it attacked at the PTAB? Did it survive?" →
challenges(free) - "What happened during examination?" →
prosecution(free) - "Who sued whom over it?" →
litigation(2 credits) - "How tough was the examiner?" →
examiner(2 credits)
- "Still in force? When does it expire?" →
-
Go deep with
dossier(3 credits fresh, free from 24h cache) when the user wants the full picture: title, assignees, inventors, dates, status, independent claims, citations, family, CPC classes, similar documents. Useclaims(1 credit cold, free cached) instead when they only need claim language — it's cheaper and returns every claim in full. -
One-shot verdict with
risk_profile(40 credits fresh, free from 24h cache) when the user asks "how risky is this patent?" or wants due diligence: aggregates legal status + PTAB + litigation + ownership + term and returns Low/Moderate/High with a plain-English rationale and the underlying signals. Mention the cost before running it; repeat calls within 24 hours are free.
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.
- 12d ago First seen · 84 lines · 95 tokens per session scan A b4c1b519c34d
patent-research-workflow is a skill published in the GitHub repository smythmyke/patent-search-mcp-server (2 stars, last pushed 3mo ago), licensed MIT. It adds 95 tokens to every session and 1,117 once invoked, about $0.0005 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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