Status basis: github_stars gained 940 in the last 3d vs 567 in the 3d before (ratio 1.7x, threshold 1.5x)
- Accelerating github_stars gained 940 in the last 3d vs 567 in the 3d before (ratio 1.7x, threshold 1.5x)
- Sustained 10d after the breakout, github_stars is 8700 vs 5628 at breakout — still above baseline
- Accelerating github_stars gained 1233 in the last 3d vs 447 in the 3d before (ratio 2.8x, threshold 1.5x)
- Sustained 9d after the breakout, github_stars is 8700 vs 5628 at breakout — still above baseline
- Accelerating github_stars gained 1041 in the last 3d vs 688 in the 3d before (ratio 1.5x, threshold 1.5x)
- Sustained 8d after the breakout, github_stars is 8404 vs 5628 at breakout — still above baseline
- Sustained 7d after the breakout, github_stars is 7760 vs 5628 at breakout — still above baseline
- Cooling github_stars momentum fell to 450 per 3d from 1392 (<= 40% of the prior window)
- Sustained 6d after the breakout, github_stars is 7470 vs 5628 at breakout — still above baseline
- Sustained 5d after the breakout, github_stars is 7366 vs 5628 at breakout — still above baseline
- Cooling github_stars momentum fell to 447 per 3d from 1392 (<= 40% of the prior window)
- Sustained 4d after the breakout, github_stars is 7193 vs 5628 at breakout — still above baseline
- Sustained 3d after the breakout, github_stars is 7020 vs 5628 at breakout — still above baseline
- Breaking out Breaking out detected
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | 1 | inferred | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | obsidian | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
Targets a highly specific, high-stakes domain in China’s patent system, demonstrating strong AI application in specialized professional workflows.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Playwright-mermaid + CNIPA”— readme
“[](https://agentskills.io)”— readme
FAQ
What is patent-disclosure-skill?
patent-disclosure-skill helps Chinese inventors and IP professionals extract technical highlights and draft compliant disclosure documents, interpret policies, and respond to examination comments.
What does patent-disclosure-skill do?
Automatically extract technical innovations and generate draft disclosure content that meets Chinese patent standards.
Why does patent-disclosure-skill matter?
Targets a highly specific, high-stakes domain in China’s patent system, demonstrating strong AI application in specialized professional workflows.
Is patent-disclosure-skill open source?
Yes — patent-disclosure-skill is open source.
Can I self-host patent-disclosure-skill?
Yes — patent-disclosure-skill can be self-hosted.
What does patent-disclosure-skill integrate with?
obsidian
How popular is patent-disclosure-skill?
As tracked by KanonAgent: 2.2k upvotes (first indexed 2026-08-30).
When did patent-disclosure-skill take off?
KanonAgent flagged patent-disclosure-skill as breaking out on 2026-08-31 on GitHub (at 443 stars/day that moment). The breakout log is append-only: https://kanonagent.com/rising
What are the best patent-disclosure-skill alternatives?
Similar AI agents tracked by KanonAgent: ECC, open-design, deer-flow, Agent-Reach, ruflo, career-ops.