QingYunA/answer-me-with-html
Answer me with HTML — an agent skill that answers hard questions with a one-page HTML you can actually read. 让 AI Agent 用一页 HTML 回答复杂问题。
Latest metrics (snapshot 2026-10-14)
| stars | 3355 |
|---|---|
| forks | 229 |
| issues | 8 |
| pushed_at | 2026-10-14T08:12:31Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-14 | 3355 |
ADC Momentum: 78/100
| Growth velocity | 96 |
|---|---|
| Consistency | 77 |
| Recency | 98 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/QingYunA/answer-me-with-html)<a href="https://agentdataco.com/repo/QingYunA/answer-me-with-html"><img src="https://agentdataco.com/badge/repo/QingYunA/answer-me-with-html.svg" alt="ADC Momentum"></a>Details
| description | Answer me with HTML — an agent skill that answers hard questions with a one-page HTML you can actually read. 让 AI Agent 用一页 HTML 回答复杂问题。 |
|---|---|
| url | https://github.com/QingYunA/answer-me-with-html |
| language | JavaScript |
| license | MIT |
| topics | agent-skill ai-agent claude-code claude-code-skill claude-skill claude-skills cli diagram dsh-plugin explainer html llm |
| created_at | 2026-10-02T09:57:40Z |
| homepage | https://answer-me-with-html.com/ |
Get this data via API or MCP
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curl -H "Authorization: Bearer $ADC_KEY" \
"https://agentdataco.com/api/v1/github-ai-repos/history?entity=QingYunA%2Fanswer-me-with-html"
curl -H "Authorization: Bearer $ADC_KEY" \
"https://agentdataco.com/api/v1/github-ai-repos?repo=QingYunA%2Fanswer-me-with-html"Or connect your agent to our remote MCP server: https://agentdataco.com/mcp.
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