Agent skill · Code Review & Quality

light-patent-disclosure

Prepare evidence-backed patent invention disclosure materials for attorney or patent-agent review. Use when the user asks for 专利点挖掘, 技术交底书, 现有技术/查新记录, claim/patent-point support mapping, invention disclosure drafts, patent figures, or a handoff package for a software/research/project invention. This is an off-DAG engineering/IP handoff skill: it does not provide legal advice, does not submit filings, does not guarantee novelty, grant, allowance, validity or registration, and emits no Light research findings or back-edges.

Light0305github.com/Light0305GitHub ↗
claude-codecodexships scriptsMIT
Install
npx skills add Light0305/Light-skills --skill light-patent-disclosure --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 8 KB
Bundled scripts: yes
Path: skills/light-patent-disclosure/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 505
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Patent disclosure handoff Turn a real project or research result into an attorney-reviewable invention disclosure packet: what problem is solved, what technical means solve it, why it differs from nearby work, what embodiments support the breadth, what figures are needed, and what counsel still needs to decide. Read [`references/patent-resource-map.md`](references/patent-resource-map.md) before jurisdiction- or filing-sensitive work. It records the peer skills, official sources, borrowed mechanisms and honest boundaries. Read [`references/patent-interview-and-search.md`](references/patent-interview-and-search.md) before patent-point mining, public search, claim-ladder drafting or attorney handoff. It contains the detailed interview, search and QC rules. ## Non-negotiable boundaries 1. This skill is not legal advice and never certifies `READY_TO_FILE`. Deliver only `DRAFT`, `NEEDS_USER_INPUT`, or `READY_FOR_ATTORNEY_REVIEW`. 2. Do not guarantee grant, novelty, inventive step, non-infringement, validity, ownership, freedom to operate, or registration outcome. 3. Preserve uncertainty. If a search, date, assignee, inventor, public disclosure, foreign-filing rule, or priority fact is

What's inside
Steps it walks through
  1. Non-negotiable boundaries
  2. Workflow
  3. 1. Intake the decision facts and risk triage
  4. 2. Build the evidence packet
  5. 3. Mine patent points with problem-solution-effect discipline
  6. 4. Do prior-art / novelty-context work honestly
  7. 5. Build the claim ladder
  8. 6. Draft the disclosure for counsel
  9. 7. Run the machine gate before delivery
  10. ACT / ASK / NEVER
Ships with 4 files
  • references/patent-interview-and-search.md
  • references/patent-resource-map.md
  • scripts/disclosure_gate.py
  • templates/patent-disclosure-packet.example.json
Commands it runs
python scripts/disclosure_gate.py --packet patent-disclosure-packet.json --base <project-root> --as-of 2026-07-05
python scripts/disclosure_gate.py --selftest
More from Light-skills
All skills →
About this skill
What does the light-patent-disclosure skill do?

Prepare evidence-backed patent invention disclosure materials for attorney or patent-agent review. Use when the user asks for 专利点挖掘, 技术交底书, 现有技术/查新记录, claim/patent-point support mapping, invention disclosure drafts, patent figures, or a handoff package for a software/research/project invention. This is an off-DAG engineering/IP handoff skill: it does not provide legal advice, does not submit filings, does not guarantee novelty, grant, allowance, validity or registration, and emits no Light research findings or back-edges.

How do I install it?

Run `npx skills add Light0305/Light-skills --skill light-patent-disclosure --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Light0305/Light-skills, a repository with 505 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going