短信智标官（SMS Tagging Officer） 是一款面向海量短信数据的智能分类与结构化标注系统，定位为“短信认知与治理的数字员工”。它基于本地部署的小模型与规则引擎协同工作，能够自动识别短信所属行业、业务类型与关键字段，将原本杂乱的文本转化为可分析、可检索、可统计的结构化数据。 系统核心能力包括：行业分类、语义打标、实体抽取与低置信度复核闭环。通过桌�
active 2026-02-10 → 2026-02-11 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2026-02-10 to 2026-02-11. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| TUARAN | 1 | 1 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.