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 beita6969/ScienceClaw --skill patent-analysisgit clone --depth 1 https://github.com/beita6969/ScienceClawWrote 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/beita6969/scienceclaw/patent-analysis)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/patent-analysis"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/patent-analysis/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/beita6969/scienceclaw/patent-analysis"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/patent-analysis.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 | $0.00048 | $0.00767 |
| Opus 5 | $0.00024 | $0.00383 |
| Sonnet 5 | $0.00010 | $0.00153 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
patent-analysis 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 9d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Trigger
Activate this skill when the user mentions:
- Patent search, prior art, novelty search
- Patent claims, claim construction, claim interpretation
- Freedom to operate (FTO), infringement analysis
- Patent landscape, technology mapping, IP portfolio
- Provisional patent, utility patent, PCT application
- Licensing, royalties, technology transfer
- Patent classification (CPC, IPC), patent families
Step-by-Step Methodology
- Define the invention - Clearly articulate the novel technical features. Distinguish the invention from the prior art. Identify the technical problem solved and the solution provided.
- Prior art search - Search patent databases systematically: Google Patents, USPTO (PatFT/AppFT), Espacenet, WIPO PatentScope. Use keyword combinations, CPC/IPC classification codes, and citation analysis. Search non-patent literature (publications, conference papers) as well.
- Landscape analysis - Map the patent landscape: identify key players, filing trends over time, geographic distribution, technology clusters. Use patent classification to categorize technologies. Identify white spaces (underpatented areas).
- Claim analysis - Parse claims into elements. Identify independent vs. dependent claims. Map claim elements to technical features. For FTO: compare each element of relevant claims against the proposed product/method.
- Novelty and non-obviousness assessment - Compare invention against closest prior art references. Identify elements that are novel (not found in any single reference) and non-obvious (not a trivial combination of references to a person of ordinary skill in the art).
- IP strategy recommendation - Advise on filing strategy: provisional vs. utility, domestic vs. PCT, continuation and divisional applications. Consider timing (grace periods, priority dates). Evaluate trade secret vs. patent protection trade-offs.
- Documentation - Prepare invention disclosure with: title, inventors, technical field, background, description of embodiments, and claims outline. Note that legal patent drafting requires a registered patent attorney.
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.
- 9d ago First seen · 55 lines · 48 tokens per session scan A 983330a7ca18
patent-analysis is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 767 once invoked, about $0.0002 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 2026-09-03.
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