Agent skill

Prior Art Search Strategy

by revfactory in revfactory/harness-100

A strategic search methodology for patent prior art investigation.

Apache-2.0Auto-check passedLegal & Compliance

Install Prior Art Search Strategy

skills CLI
$ npx skills add revfactory/harness-100 --skill prior-art-search-strategy -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install revfactory/harness-100 prior-art-search-strategy --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/68-patent-drafter/.claude/skills/prior-art-search-strategy .claude/skills/prior-art-search-strategy && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
prior-art-search-strategy
GitHub stars
1.3k
Token cost
~1.2k tokens
SKILL.md length
190 words
Files
1
Skills in repo
274
Repo updated
First seen
Licence
Apache-2.0

At a glance

A strategic search methodology for patent prior art investigation.

  • Works in 3 steps: Invention Decomposition → Search Query Design → Search Execution Order
  • Tasks that involve Intellectual property
  • SKILL.md covers 3-Phase Search Strategy…, IPC/CPC Classification Code…, Novelty and Inventive Step… and Search Report Output Structure, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prior Art Search Strategy is an agent skill from revfactory/harness-100. A strategic search methodology for patent prior art investigation. The 'prior-art-researcher' agent must use this skill's search strategies, classification code system, and analysis frameworks when searching prior art and determining novelty and inventive step. Used for 'prior art search', 'novelty determination', 'inventive step analysis', etc. Note: Claim drafting or specification writing is outside the scope of this skill.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Legal & Compliance, covering Intellectual property. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Intellectual property

Example prompts

  • “prior-art-researcher”
  • “prior art search”
  • “novelty determination”
  • “/prior-art-search-strategy”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Invention Decomposition
  2. Search Query Design
  3. Search Execution Order

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prior Art Search Strategy loads about 1.2k tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 190 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 190 words, ~1,217 tokens.

Download SKILL.mdSave it as .claude/skills/prior-art-search-strategy/SKILL.md (or your agent's skills folder).
name
prior-art-search-strategy
description
A strategic search methodology for patent prior art investigation. The 'prior-art-researcher' agent must use this skill's search strategies, classification code system, and analysis frameworks when searching prior art and determining novelty and inventive step. Used for 'prior art search', 'novelty determination', 'inventive step analysis', etc. Note: Claim drafting or specification writing is outside the scope of this skill.

Prior Art Search Strategy — Prior Art Search Strategy Guide

Search strategies, IPC/CPC classification utilization, and analysis frameworks for systematic prior art investigation.

3-Phase Search Strategy Framework

Phase 1: Invention Decomposition
Invention -> Technical Problem -> Solution Means -> Components

Decomposition Matrix:
| Component | Function | Relationship | Tech Field | Core Keywords |
|-----------|----------|-------------|-----------|--------------|
| A         | F1       | A->B        | Sensor    | sensor, detection |
| B         | F2       | B->C        | AI        | neural, learning |
| C         | F3       | C->Output   | Control   | control, adjust |
Phase 2: Search Query Design

Keyword Expansion Rules

Core keyword -> Synonyms -> Broader concepts -> Narrower concepts

Example: "artificial intelligence"
  Synonyms: AI, machine learning, ML
  Broader: data processing, computer system
  Narrower: CNN, RNN, transformer, deep learning

Search Query Structure

(Component A keywords OR synonyms) AND
(Component B keywords OR synonyms) AND
(Function/Effect keywords OR synonyms)

Scope adjustment:
  Broad search: A AND B (2 elements)
  Medium search: A AND B AND C (3 elements)
  Narrow search: A AND B AND C AND D (4+ elements)
Phase 3: Search Execution Order
OrderDatabasePurposeCoverage
1KIPRIS (Korean Patents)Domestic prior artKorean registrations/publications
2Google PatentsGlobal overviewWorldwide patents
3Espacenet (EPO)Europe and PCTEP, WO
4USPTO (US)US patentsUS
5Academic DB (Google Scholar)Non-patent literaturePapers, theses
6Web searchPublicly known technologyProducts, blogs, news

IPC/CPC Classification Code Utilization

Classification Codes by Major Technical Field
Technical FieldIPCDescription
IoT/SensorsG01D, H04WMeasurement, wireless communication
AI/Machine LearningG06NComputer system-based models
Image ProcessingG06T, G06VImage data processing, recognition
BlockchainH04L 9/00Cryptographic arrangements
Mobile AppsG06F 3/04User interfaces
BatteriesH01MElectrochemical energy
Autonomous DrivingB60W, G05DVehicle control, route control
BiotechC12N, A61KGenetic engineering, pharmaceuticals

Novelty and Inventive Step Judgment Framework

Novelty Analysis Matrix
| Claim Element | Prior Art 1 | Prior Art 2 | Prior Art 3 |
|-------------- |------------|------------|------------|
| A: [element]  | O Same     | O Same     | X Absent   |
| B: [element]  | O Same     | X Absent   | O Same     |
| C: [element]  | X Absent   | O Same     | X Absent   |
| D: [element]  | X Absent   | X Absent   | X Absent   |

Judgment: If all elements exist in a single prior art -> No novelty
          If even one is missing -> Novelty may be recognized
Inventive Step Analysis: TSM Test
T (Teaching): Does the prior art teach the combination?
S (Suggestion): Is there a suggestion to combine in the description?
M (Motivation): Does a person skilled in the art have motivation to combine?

Judgment flow:
1. Select the closest prior art (primary)
2. Identify differentiating elements
3. Search for secondary prior art containing the differentiating elements
4. Determine whether combination motivation exists
5. Check for unexpected effects from the combination

Search Report Output Structure

markdown
## Prior Art Search Report

### Search Strategy
- Search query: [Described]
- DB: [Databases used]
- Search results: [Number of results]

### Key Prior Art (Top 5)

#### [Prior Art 1] — [Document No.]
- **Title**: [Title of invention]
- **Filing/Publication Date**: [Date]
- **Key Technology**: [Summary]
- **Related Components**: A(O), B(O), C(X), D(X)
- **Differentiation**: [Difference from the present invention]

### Novelty and Inventive Step Comprehensive Opinion
- **Novelty**: [Recognized/Denied] — Basis: [Explanation]
- **Inventive Step**: [Recognized/Questionable] — Basis: [Explanation]
- **Design-Around Direction**: [Suggestion]

Notes

  • Utilizes KIPRIS, Google Patents, Espacenet
  • Detailed search strategies: See references/search-strategy-detail.md

© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in en/68-patent-drafter/.claude/skills/prior-art-search-strategy of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Prior Art Search Strategy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Prior Art Search Strategy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prior Art Search Strategy this skillrevfactory/harness-1001.3k—~1.2kAutomated safety check: PassApache-2.0
Paper to Chinese Patent DrafterYuan1z0825/nature-skills47k1 repos~1.1kAutomated safety check: PassApache-2.0
Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill1071 repos~959Automated safety check: PassNone
Patent Examinegfodor/legal-skills393—~4.8kAutomated safety check: PassGPL-3.0
Patent Auditgfodor/legal-skills393—~2.9kAutomated safety check: PassGPL-3.0
Replica BrandJakeschincariol/replica-skill1.4k—~1.1kAutomated safety check: PassMIT

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Questions about Prior Art Search Strategy

What does Prior Art Search Strategy do?

A strategic search methodology for patent prior art investigation. Prior Art Search Strategy is an agent skill from revfactory/harness-100. A strategic search methodology for patent prior art investigation.

When should I use Prior Art Search Strategy?

Prior Art Search Strategy fits situations like: tasks that involve Intellectual property.

How do I install Prior Art Search Strategy in Claude Code?

Run `npx skills add revfactory/harness-100 --skill prior-art-search-strategy -a claude-code`. Or copy the skill folder (en/68-patent-drafter/.claude/skills/prior-art-search-strategy in revfactory/harness-100) into .claude/skills/prior-art-search-strategy in your project. Claude Code loads it when a task matches its description.

How do I install Prior Art Search Strategy in Codex?

Run `npx skills add revfactory/harness-100 --skill prior-art-search-strategy -a codex`. Or copy the skill folder (en/68-patent-drafter/.claude/skills/prior-art-search-strategy in revfactory/harness-100) into .agents/skills/prior-art-search-strategy in your project. Codex loads it when a task matches its description.

Can I use Prior Art Search Strategy in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill prior-art-search-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prior-art-search-strategy, .gemini/skills/prior-art-search-strategy, .github/skills/prior-art-search-strategy and .opencode/skills/prior-art-search-strategy in your project.

What does Prior Art Search Strategy need to run?

SKILL.md names no scripts, command-line tools or credentials: Prior Art Search Strategy is instructions for the agent only.

Does Prior Art Search Strategy access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prior Art Search Strategy safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Prior Art Search Strategy use?

Prior Art Search Strategy is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prior Art Search Strategy use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prior Art Search Strategy?

Skills that share tags, products or a category with Prior Art Search Strategy: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), Paper To Cn Patent (snipp-zha/Paper-to-patent-Skill, 107 stars), Patent Examine (gfodor/legal-skills, 393 stars) and Patent Audit (gfodor/legal-skills, 393 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prior Art Search Strategy?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,295 GitHub stars. The repository holds 274 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.