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 Raw1mage/patentmcp --skill prior-art-searchgit clone --depth 1 https://github.com/Raw1mage/patentmcpWrote 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/raw1mage/patentmcp/prior-art-search)<a href="https://agentmods.dev/skills/raw1mage/patentmcp/prior-art-search"><img src="https://agentmods.dev/badge/skills/raw1mage/patentmcp/prior-art-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/raw1mage/patentmcp/prior-art-search"><img src="https://agentmods.dev/badge/skills/raw1mage/patentmcp/prior-art-search.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 | $0.00026 | $0.02111 |
| Opus 5 | $0.00013 | $0.01056 |
| Sonnet 5 | $0.00005 | $0.00422 |
| Haiku 4.5 | $0.00003 | $0.00211 |
Grade A, and why
prior-art-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 11d 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
88% identical to prior-art-search — 29 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 — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prior Art Search Skill
Systematic 7-step methodology for comprehensive patent prior art searches and patentability assessments.
When to Use
Invoke this skill when users ask to:
- Conduct prior art search for an invention
- Assess patentability of an idea
- Perform freedom-to-operate analysis
- Find blocking patents
- Research patent landscapes
- Prepare for patent filing
What This Skill Does
Implements a professional 7-step prior art search methodology combining:
- Keyword searches across 100M+ patents (BigQuery)
- CPC classification searches
- USPTO API searches
- Timeline analysis
- Patentability assessment
- IDS (Information Disclosure Statement) preparation
The 7-Step Methodology
Step 1: Invention Definition (2-3 min)
Goal: Extract key features and define innovation scope
Process:
- Interview user about invention
- Extract core technical elements
- Identify novel features
- List all components/steps
- Define search scope
Output: Structured invention summary with key features
Questions to Ask:
- What problem does this solve?
- What are the key components/steps?
- What makes this different from existing solutions?
- What is the core innovation?
Step 2: Keyword Strategy (2-3 min)
Goal: Develop comprehensive search keyword list
Process:
- Primary keywords from invention
- Synonyms and variations
- Technical terminology
- Industry-specific terms
- Boolean search strings
Output: Keyword search strategy document
Example:
Primary: blockchain authentication
Synonyms: distributed ledger verification, cryptographic authentication
Technical: public key infrastructure, digital signature
Related: decentralized identity, trustless verification
Searches:
- "blockchain AND (authentication OR verification)"
- "(distributed ledger) AND (identity OR credential)"
- "cryptographic AND (login OR access control)"
Step 3: Broad Keyword Search (3-5 min)
Goal: Cast wide net to find relevant patents
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.
- 11d ago First seen · 347 lines · 26 tokens per session scan A e214e551545d
prior-art-search is a skill published in the GitHub repository Raw1mage/patentmcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 2,111 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to prior-art-search, differing in 29 lines, and is treated as a copy.
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