Agent skill

Patent Claim Mapper

by aipoch in aipoch/medical-research-skills

A skill your agent uses when mapping patent claims to products, analyzing patent infringement, or preparing freedom-to-operate analyses.

MITAuto-check passedLegal & Compliance

Install Patent Claim Mapper

skills CLI
$ npx skills add aipoch/medical-research-skills --skill patent-claim-mapper -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills patent-claim-mapper --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'scientific-skills/Evidence Insight/patent-claim-mapper' .claude/skills/patent-claim-mapper && 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
patent-claim-mapper
GitHub stars
1.9k
Token cost
~1.7k tokens
SKILL.md length
692 words
Files
5 (incl. scripts, references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when mapping patent claims to products, analyzing patent infringement, or preparing freedom-to-operate analyses.

  • Works in 3 steps: Claim Parsing → Feature Mapping → Gap Analysis
  • Mapping patent claims to products
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 12 more sections
  • Runs Python scripts from its folder; calls python

What it does

Patent Claim Mapper is an agent skill from aipoch/medical-research-skills. Use when mapping patent claims to products, analyzing patent infringement, or preparing freedom-to-operate analyses. Compares patent claims against product features for biotech and pharmaceutical IP assessment.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `patent-claim-mapper_audit_result_v2.json`, `references/audit-reference.md` and `scripts/main.py`).

It sits in Legal & Compliance, covering Intellectual property. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • Mapping patent claims to products
  • Analyzing patent infringement
  • Preparing freedom-to-operate analyses

Example prompts

  • “/patent-claim-mapper”

Requirements

  • Python 3

Workflow steps

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

  1. Claim Parsing
  2. Feature Mapping
  3. Gap Analysis

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Patent Claim Mapper loads about 1.7k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 692 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 692 words, ~1,673 tokens.

Download SKILL.mdSave it as .claude/skills/patent-claim-mapper/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
patent-claim-mapper
description
Use when mapping patent claims to products, analyzing patent infringement, or preparing freedom-to-operate analyses. Compares patent claims against product features for biotech and pharmaceutical IP assessment.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

Patent Claim Mapper

Map patent claims to product features for infringement analysis, freedom-to-operate assessments, and competitive intelligence in biotech/pharma.

When to Use

  • Use this skill when the task needs Use when mapping patent claims to products, analyzing patent infringement, or preparing freedom-to-operate analyses. Compares patent claims against product features for biotech and pharmaceutical IP assessment.
  • Use this skill for evidence insight tasks that require explicit assumptions, bounded scope, and a reproducible output format.
  • Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.

Key Features

  • Scope-focused workflow aligned to: Use when mapping patent claims to products, analyzing patent infringement, or preparing freedom-to-operate analyses. Compares patent claims against product features for biotech and pharmaceutical IP assessment.
  • Packaged executable path(s): scripts/main.py.
  • Reference material available in references/ for task-specific guidance.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • dataclasses: unspecified. Declared in requirements.txt.

Example Usage

bash
cd "20260318/scientific-skills/Evidence Insight/patent-claim-mapper"
python -m py_compile scripts/main.py
python scripts/main.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/main.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/main.py.
  • Reference guidance: references/ contains supporting rules, prompts, or checklists.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Quick Check

Use this command to verify that the packaged script entry point can be parsed before deeper execution.

bash
python -m py_compile scripts/main.py

Audit-Ready Commands

Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.

bash
python -m py_compile scripts/main.py
python scripts/main.py --help

Workflow

  1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
  2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
  3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
  4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
  5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.
Show full SKILL.md (275 more words)Show less

Quick Start

python
from scripts.claim_mapper import ClaimMapper

mapper = ClaimMapper()

# Map claims to product
mapping = mapper.analyze(
    patent_claims="patent_claims.txt",
    product_description="product_spec.txt"
)

Core Capabilities

1. Claim Parsing
python
claims = mapper.parse_claims(
    patent_file="US10123456B2.pdf",
    independent_only=False
)
2. Feature Mapping
python
mapping = mapper.map_to_product(
    claim="A monoclonal antibody that binds to PD-1...",
    product_features=product_specs
)

Mapping Results:

  • Fully covered: Product implements claim
  • Partially covered: Some elements present
  • Not covered: Claim element missing
  • Questionable: Requires legal review
3. Gap Analysis
python
gaps = mapper.identify_gaps(
    mapping_results,
    strategy="design_around"
)

CLI Usage

text
python scripts/claim_mapper.py \
  --patent US10123456B2 \
  --product product_spec.txt \
  --output mapping_report.pdf

Skill ID: 213 | Version: 1.0 | License: MIT

Output Requirements

Every final response should make these items explicit when they are relevant:

  • Objective or requested deliverable
  • Inputs used and assumptions introduced
  • Workflow or decision path
  • Core result, recommendation, or artifact
  • Constraints, risks, caveats, or validation needs
  • Unresolved items and next-step checks

Error Handling

  • If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.
  • Do not fabricate files, citations, data, search results, or execution outcomes.

Input Validation

This skill accepts requests that match the documented purpose of patent-claim-mapper and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

patent-claim-mapper only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

References

Response Template

Use the following fixed structure for non-trivial requests:

  1. Objective
  2. Inputs Received
  3. Assumptions
  4. Workflow
  5. Deliverable
  6. Risks and Limits
  7. Next Checks

If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.

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

Files

SKILL.md and 4 other files (scripts, references) in scientific-skills/Evidence Insight/patent-claim-mapper of aipoch/medical-research-skills.

  • SKILL.md
  • patent-claim-mapper_audit_result_v2.json
  • references/audit-reference.md
  • requirements.txt
  • scripts/main.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Patent Claim Mapper 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.

Patent Claim Mapper compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Patent Claim Mapper this skillaipoch/medical-research-skills1.9k—~1.7kAutomated safety check: PassMIT
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 Patent Claim Mapper

What does Patent Claim Mapper do?

A skill your agent uses when mapping patent claims to products, analyzing patent infringement, or preparing freedom-to-operate analyses. Patent Claim Mapper is an agent skill from aipoch/medical-research-skills. Use when mapping patent claims to products, analyzing patent infringement, or preparing freedom-to-operate analyses.

When should I use Patent Claim Mapper?

Patent Claim Mapper fits situations like: mapping patent claims to products; analyzing patent infringement; preparing freedom-to-operate analyses.

How do I install Patent Claim Mapper in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill patent-claim-mapper -a claude-code`. Or copy the skill folder (scientific-skills/Evidence Insight/patent-claim-mapper in aipoch/medical-research-skills) into .claude/skills/patent-claim-mapper in your project. Claude Code loads it when a task matches its description.

How do I install Patent Claim Mapper in Codex?

Run `npx skills add aipoch/medical-research-skills --skill patent-claim-mapper -a codex`. Or copy the skill folder (scientific-skills/Evidence Insight/patent-claim-mapper in aipoch/medical-research-skills) into .agents/skills/patent-claim-mapper in your project. Codex loads it when a task matches its description.

Can I use Patent Claim Mapper 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 aipoch/medical-research-skills --skill patent-claim-mapper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/patent-claim-mapper, .gemini/skills/patent-claim-mapper, .github/skills/patent-claim-mapper and .opencode/skills/patent-claim-mapper in your project.

What does Patent Claim Mapper need to run?

Going by SKILL.md and its folder, Patent Claim Mapper needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Patent Claim Mapper 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 Patent Claim Mapper 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Patent Claim Mapper use?

Patent Claim Mapper is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Patent Claim Mapper use?

About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 194 tokens, read only when the agent opens those files.

What are the alternatives to Patent Claim Mapper?

Skills that share tags, products or a category with Patent Claim Mapper: 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 Patent Claim Mapper?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.