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 RobThePCGuy/Claude-Patent-Creator --skill patent-searchgit clone --depth 1 https://github.com/RobThePCGuy/Claude-Patent-CreatorWrote 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/robthepcguy/claude-patent-creator/patent-search)<a href="https://agentmods.dev/skills/robthepcguy/claude-patent-creator/patent-search"><img src="https://agentmods.dev/badge/skills/robthepcguy/claude-patent-creator/patent-search/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/robthepcguy/claude-patent-creator/patent-search"><img src="https://agentmods.dev/badge/skills/robthepcguy/claude-patent-creator/patent-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.01145 |
| Opus 5.5 | $0.00015 | $0.00458 |
| Sonnet 5.5 | $0.00007 | $0.00229 |
| Haiku 4.5 | $0.00004 | $0.00114 |
Grade A, and why
patent-search 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 22d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- patent-search — 97% identical, 38 lines differ
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Patent Search Skill
This skill points Claude at the BigQuery patent-search tools registered by the patent-creator MCP server. Call the tools directly; do not shell out to Python.
When to use
- Find prior art by keyword, classification, or family.
- Pull full patent records (title, abstract, claims, description) for US patents.
- Cross-reference an EP/WO patent into its US family member to get full text.
Available MCP tools
| Tool | What it does |
|---|---|
search_patents_google |
Recommended. Full-text keyword search worldwide (claims and description included), one search credit per call. Needs SERPAPI_API_KEY (free plan: 250/month). |
check_google_patents_status |
Is the key set, and how many searches are left this month (free to call). |
search_patents_bigquery |
Fallback keyword search across title / abstract / claims (US only for claims). ~341 GiB, about $2, per search. |
get_patent_bigquery |
Patent details by publication number: bibliographic data + claims by default; abstract and description are opt-in. |
get_patents_bigquery |
Same, for up to 50 patents in one query at the cost of one lookup. |
search_patents_by_cpc_bigquery |
Search by CPC classification prefix. |
search_patents_by_ipc_bigquery |
Search by IPC classification prefix (good for older or non-US patents). |
search_patent_family_bigquery |
All publications sharing a family ID across jurisdictions. |
check_bigquery_status |
Verify auth and quota project before a long workflow. |
Cost notes
BigQuery on-demand pricing is $6.25 / TiB (1 TiB free per month). The MCP server enforces a per-query bytes-billed ceiling, defaulting to 350 GiB. Override via PATENT_BIGQUERY_MAX_BYTES_BILLED if you need a larger scan window.
The patents table is unclustered, so a detail lookup costs the same for one patent or fifty; the cost depends only on which sections are requested:
| Detail lookup | Scan | Cost |
|---|---|---|
Bibliographic only (include_claims=False): title, dates, family_id, CPC/IPC |
~44 GiB | ~$0.27 |
| Default: + claims | ~160 GiB | ~$1 |
+ abstract (include_abstract=True) |
+~200 GiB | exceeds the default cap together with claims |
+ description (include_description=True) |
~1.1 TiB | exceeds the default cap |
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.
- 22d ago Changed · +22 lines f8563eff2aae
- 1mo ago First seen · 48 lines · 37 tokens per session scan A 1545667b4052
patent-search is a skill published in the GitHub repository RobThePCGuy/Claude-Patent-Creator (206 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 1,145 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 2026-08-30.
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