Paper to Chinese Patent Drafter
Yuan1z0825/nature-skills
Drafts Chinese invention patent applications and technical disclosures from research papers or inventor materials, tying each claim feature to source evidence.
IP landscape analysis guide. An agent skill from revfactory/harness-100.
$ npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 ip-landscape-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis .claude/skills/ip-landscape-analysis && rm -rf skills-srcUse ~/.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/
Install the "ip-landscape-analysis" agent skill from https://github.com/revfactory/harness-100/tree/main/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis into .claude/skills/ip-landscape-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ip-landscape-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/revfactory/harness-100/tree/main/en/100-ip-portfolio/.claude/skills/ip-landscape-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 ip-landscape-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis .agents/skills/ip-landscape-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ip-landscape-analysis" agent skill from https://github.com/revfactory/harness-100/tree/main/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis into .agents/skills/ip-landscape-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ip-landscape-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 ip-landscape-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis .cursor/skills/ip-landscape-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ip-landscape-analysis" agent skill from https://github.com/revfactory/harness-100/tree/main/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis into .cursor/skills/ip-landscape-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ip-landscape-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/revfactory/harness-100.git --path en/100-ip-portfolio/.claude/skills/ip-landscape-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 ip-landscape-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis .gemini/skills/ip-landscape-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ip-landscape-analysis" agent skill from https://github.com/revfactory/harness-100/tree/main/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis into .gemini/skills/ip-landscape-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ip-landscape-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install revfactory/harness-100 ip-landscape-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis .github/skills/ip-landscape-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ip-landscape-analysis" agent skill from https://github.com/revfactory/harness-100/tree/main/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis into .github/skills/ip-landscape-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ip-landscape-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install revfactory/harness-100 ip-landscape-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis .opencode/skills/ip-landscape-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ip-landscape-analysis" agent skill from https://github.com/revfactory/harness-100/tree/main/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis into .opencode/skills/ip-landscape-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ip-landscape-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ip-landscape-analysisIP landscape analysis guide. An agent skill from revfactory/harness-100.
Ip Landscape Analysis is an agent skill from revfactory/harness-100. IP landscape analysis guide. Referenced by the patent-mapper and protection-advisor agents when analyzing technology-specific patent landscapes and developing strategies. Use for 'IP landscape', 'patent map', or 'technology trends' requests. Patent filing services and patent search database access are out of scope.
Its SKILL.md is about 1.3k 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.
Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ip Landscape Analysis loads about 1.3k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 290 words of instructions outside code blocks.
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.
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.
The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 290 words, ~1,285 tokens.
.claude/skills/ip-landscape-analysis/SKILL.md (or your agent's skills folder).Enhances the IP strategy analysis capabilities of the patent-mapper and protection-advisor agents.
Step 1: Define Technology Scope
- Technology keywords + IPC/CPC codes
- Search query design
Step 2: Data Collection
- KIPRIS (Korea), USPTO (US), EPO (Europe)
- Search range: Last 10-20 years
Step 3: Quantitative Analysis
- Filing trends, applicant rankings, technology classification
- Patent family analysis
Step 4: Qualitative Analysis
- Key patent selection, claims analysis
- White space identification
Step 5: Strategy Derivation
- Opportunity/threat mapping
- Filing/acquisition/licensing/design-around strategies 2020 2021 2022 2023 2024
Tech A ## ### #### ##### ######
Tech B # ## ### #### ####
Tech C ### ## ## # #
Tech D - - # ## ####
-> Tech A: Rapid growth, Tech D: Emerging
-> Tech C: Declining| Applicant | Tech A | Tech B | Tech C | Total |
|---|---|---|---|---|
| Company X | 45 | 32 | 18 | 95 |
| Company Y | 38 | 28 | 25 | 91 |
| Competitor Z | 52 | 15 | 8 | 75 |
| Our Company | 12 | 20 | 5 | 37 |
Key patent identification criteria:
- Top 10% by forward citations
- Examiner citations (higher weight)
- Betweenness centrality Market A Market B Market C
Tech 1 #### ## .... <- Gap
Tech 2 ### .... ## <- Gap
Tech 3 .... ### #### <- Gap
.... = White Space (no/few filings)
-> Strategic filing opportunities| Type | Description | Strategy |
|---|---|---|
| Technology Gap | Unexplored technology area | Preemptive filing |
| Market Gap | Unapplied market/region | Foreign filing |
| Applicant Gap | Area competitors have not entered | Rapid portfolio build |
1. Confirm target product/technology specifications
2. Search relevant patents (registered/valid patents)
3. Claims analysis (element-by-element comparison)
4. Infringement risk assessment
- Literal infringement: All elements match
- Doctrine of equivalents: Substantially identical
5. FTO opinion preparation| Risk | Infringement Likelihood | Impact | Response |
|---|---|---|---|
| High | Literal infringement possible | Core functionality | Design-around / License |
| Medium | Equivalents infringement possible | Some functionality | Design-around review |
| Low | Low infringement likelihood | Non-core | Monitoring |
| Strategy | Purpose | Means |
|---|---|---|
| Patent Fence | Protect core technology | File surrounding patents |
| Preemptive Filing | Market entry barrier | Fast filing on new technology |
| Cross-Licensing | Mutual practice rights | Portfolio exchange |
| Defensive Publication | Block competitor filings | Publish technology (establish prior art) |
| Patent Pool | Access standard technology | Industry-wide joint licensing |
Retention Criteria:
3 stars - Core: Directly business-related, high value
2 stars - Important: Defensive value, revenue potential
1 star - Moderate: Review value vs maintenance cost
Pruning Criteria:
- No business relevance + no licensing demand -> Abandon
- Maintenance cost > value -> Sell or abandon
- Expiring within 3 years + no utilization plan -> Consider abandonment| Country | Patent Term | Renewal Cycle | Cost Trend |
|---|---|---|---|
| Korea | Filing date + 20 years | Annual (from year 4) | Increases annually |
| United States | Filing date + 20 years | At 3.5/7.5/11.5 years | 3 stages |
| Europe (EP) | Filing date + 20 years | Annual (from year 3) | Increases annually |
| Japan | Filing date + 20 years | Annual (from year 4) | Increases annually |
| China | Filing date + 20 years | Annual | Increases annually |
| Item | Criteria |
|---|---|
| Search Scope | IPC/CPC + keyword combination |
| Quantitative Analysis | Trends, rankings, classification |
| White Space Analysis | Technology-market matrix |
| FTO | Core products/technologies covered |
| Strategy | Offensive/defensive strategies specified |
| Portfolio | Retention/pruning criteria defined |
© 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
Just SKILL.md in en/100-ip-portfolio/.claude/skills/ip-landscape-analysis of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Ip Landscape Analysis 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ip Landscape Analysis this skillrevfactory/harness-100 | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 46k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill | 105 | 1 repos | ~959 | Automated safety check: Pass | None | |
| Patent Examinegfodor/legal-skills | 393 | — | ~4.8k | Automated safety check: Pass | GPL-3.0 | |
| Patent Auditgfodor/legal-skills | 393 | — | ~2.9k | Automated safety check: Pass | GPL-3.0 | |
| Patent Workaroundgfodor/legal-skills | 393 | — | ~5.7k | Automated safety check: Pass | GPL-3.0 |
Yuan1z0825/nature-skills
Drafts Chinese invention patent applications and technical disclosures from research papers or inventor materials, tying each claim feature to source evidence.
snipp-zha/Paper-to-patent-Skill
Convert scientific papers, theses, technical reports, source code, figures, or research manuscripts into evidence-grounded Chinese invention patent drafts.
gfodor/legal-skills
Iteratively examine and revise a draft U.S. An agent skill from gfodor/legal-skills.
gfodor/legal-skills
Audit a draft U.S. An agent skill from gfodor/legal-skills.
gfodor/legal-skills
Adversarially pressure-test a draft or pending U.S. An agent skill from gfodor/legal-skills.
SeanJ1ang/design-judge-skills
Extract evidence-grounded project facts from user-provided design attachments, identify missing information, and prepare the exact written fields required by supported design-award entry forms.
revfactory/harness-100
A skill for analyzing website anti-bot defense mechanisms and developing legitimate evasion strategies.
revfactory/harness-100
Reference for designing how an API reports failures: structured error codes, response shapes, client-friendly messages, an error catalog and retry or fallback advice.
revfactory/harness-100
Walks a backend-dev agent through OWASP API Top 10 checks, authentication and authorization patterns, and defense code during API design.
revfactory/harness-100
Methodology for systematically designing and generating CLI tool argument parser structures.
revfactory/harness-100
Audience segmentation skill used by the analyst and curator agents.
revfactory/harness-100
Audio storytelling skill used by the podcast scriptwriter and show note editor.
Categories
IP landscape analysis guide. An agent skill from revfactory/harness-100. Ip Landscape Analysis is an agent skill from revfactory/harness-100. IP landscape analysis guide.
Ip Landscape Analysis fits situations like: technology trends requests; tasks that involve Intellectual property.
Run `npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a claude-code`. Or copy the skill folder (en/100-ip-portfolio/.claude/skills/ip-landscape-analysis in revfactory/harness-100) into .claude/skills/ip-landscape-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a codex`. Or copy the skill folder (en/100-ip-portfolio/.claude/skills/ip-landscape-analysis in revfactory/harness-100) into .agents/skills/ip-landscape-analysis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ip-landscape-analysis, .gemini/skills/ip-landscape-analysis, .github/skills/ip-landscape-analysis and .opencode/skills/ip-landscape-analysis in your project.
SKILL.md names no scripts, command-line tools or credentials: Ip Landscape Analysis is instructions for the agent only.
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.
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.
Ip Landscape Analysis 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.
About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ip Landscape Analysis: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 46k stars), Paper To Cn Patent (snipp-zha/Paper-to-patent-Skill, 105 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.
revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 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.