#skill #codex ⌨️ Codex with ChatGPT - 让 ChatGPT 负责思考,Codex 负责干活 项目主要用于把 ChatGPT 网页版接入 Codex 编码流程,可以让 ChatGPT 负责规划和代码审查,Codex 负责实际修改、测试和执行。 无需 API Key,也不通过逆向代理。 安装这个skill耗费 97% 的5H额度,不过值了! 📮投稿 📢频道 💬吹水 🌐网站
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Channel
@xgeekshare
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
13,497subscribers
+590 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003590648343 |
|---|---|
| Type | Channel |
| Username | @xgeekshare |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/xgeekshare |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 03:57 | 13,497 | +17 |
| 15 Sept 2026, 21:40 | 13,480 | +12 |
| 14 Sept 2026, 07:58 | 13,468 | +33 |
| 10 Sept 2026, 18:16 | 13,435 | +24 |
| 7 Sept 2026, 17:56 | 13,411 | +27 |
| 4 Sept 2026, 17:41 | 13,384 | +5 |
| 3 Sept 2026, 00:14 | 13,379 | +15 |
| 1 Sept 2026, 23:06 | 13,364 | +6 |
| 1 Sept 2026, 02:06 | 13,358 | +16 |
| 31 Aug 2026, 02:35 | 13,342 | +24 |
| 30 Aug 2026, 00:35 | 13,318 | +7 |
| 29 Aug 2026, 01:38 | 13,311 | +25 |
| 28 Aug 2026, 00:24 | 13,286 | +16 |
| 26 Aug 2026, 23:08 | 13,270 | +24 |
| 25 Aug 2026, 21:36 | 13,246 | +14 |
| 25 Aug 2026, 00:58 | 13,232 | +25 |
| 23 Aug 2026, 15:14 | 13,207 | +32 |
| 22 Aug 2026, 00:14 | 13,175 | +7 |
| 20 Aug 2026, 17:05 | 13,168 | +19 |
| 19 Aug 2026, 15:38 | 13,149 | first reading |
36 posts held, back to 19 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 50 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 36 (19 June 2026 – 1 September 2026) |
| Views total | 4,330 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:15 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
353 reactions across 35 posts, in 6 distinct kinds. The most used accounts for 41.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 146 | 41.4% | |
| 👍 | 119 | 33.7% | |
| ❤ | 77 | 21.8% | |
| 😁 | 5 | 1.42% | |
| 😱 | 4 | 1.13% | |
| 🏆 | 2 | 0.567% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 35 of the 36 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 353 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 19 June 2026 to 1 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
#skill #codex ⌨️ Codex with ChatGPT - 让 ChatGPT 负责思考,Codex 负责干活 项目主要用于把 ChatGPT 网页版接入 Codex 编码流程,可以让 ChatGPT 负责规划和代码审查,Codex 负责实际修改、测试和执行。 无需 API Key,也不通过逆向代理。 安装这个skill耗费 97% 的5H额度,不过值了! 📮投稿 📢频道 💬吹水 🌐网站
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已重置
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#频道互推 #群组推荐 电报群组&频道 希世珍宝 (黄游的搬运工) 爱游戏分享社 iOS破解游戏软件分享 人人分享站|B站课程分享 叮当喵喵-今天你也很可爱 LSP游戏目录 Galgame|ADV|拔作|黄油 白嫖分享社 | 综合类白嫖资源 吃瓜小队 电报频道&群组索引
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Posted without readable text
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#skill 不只是 Mermaid:这个 Skill 可以把代码仓库变成交互式系统地图 Archify 用于分析代码仓库和系统描述,可以生成经过校验的交互式架构图,并输出为独立 HTML / SVG 文件。 开源项目介绍用这个 Skill 逼格就很高了~ 🤖核心特点 ➡️ 支持 Architecture、Workflow、Sequence、Data Flow、Lifecycle 五种技术图。 ➡️ 支持从真实代码仓库梳理组件、调用链、数据流和系统边界。 ➡️ 支持 Before / Delta / After 架构差异对比,可查看新增、删除、移动和重路由。 ➡️ 成品支持 HTML、SVG、PNG、WebM 和 1200×630 分享图导出。 📮投稿 📢频道 💬吹水 🌐网站
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⌨️Codex 新动态:Luna 备用额度已确认,Reset 可能马上再来 Codex 负责人 Tibo 最新确认,Luna Reserve 确实已经上线,部分用户在常规额度耗尽后,可以继续通过 GPT-5.6 Luna 使用 Codex。不过目前官方还没有公布具体额度、重置周期和完整覆盖范围。 另外,Tibo 还暗示 8 月 27 日可能再次按下 Reset 按钮,意味着新一轮 Codex / ChatGPT Work 额度重置很可能很快到来。 目前 Reset 尚未确认执行,是普通重置还是 banked reset 也还没有公布。
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Codex又改回5H限额了,并且还重置了一次。体感上更耐用了些~
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这个开源项目又迎来了一次大更新: 1. 从归档彻底转为同步Telegram推送 2. 全程部署在Cloudflare,个人使用几乎是完全免费 3. 新增后台功能,可配置同步 4. 支持同步多频道 todo还比较多,但是如果你也有一样的需求,这套代码已经足够为你省下巨量token了
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#macOS 🧠 Wake - 把 Claude Code、Codex 等 Agent 会话统一收进一个窗口 ⬇️ 下载页面 Wake 是一款原生 macOS 工具,用于收集 Agent 会话,可以把 Claude Code、Codex CLI、Gemini CLI、OpenCode、Kiro、DeepSeek Harness 等工具的历史记录统一展示在一个界面。 除了浏览历史,还能全文搜索中英文和代码、查看完整对话等,所有数据都保存在本地。 📮投稿 📢频道 💬吹水 🌐网站
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#codex 所有付费用户都已获得一张重置卡! 📮投稿 📢频道 💬吹水 🌐网站
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#deepseek DSHA - 在安卓手机上一键运行 DeepSeek Harness ⬇️ 下载页面 DSHA 是一个 DeepSeek Harness 安卓启动器,无需 ROOT,也不用另外安装 Termux。 📮投稿 📢频道 💬吹水 🌐网站
🤡3
#skill #生成视频 ✍️ 有字幕就能做白板手绘视频! SRT Whiteboard Animation 是一个把 SRT 字幕转换成白板手绘视频的开源 Skill。 它会先根据字幕拆分分镜,再按照叙事顺序让画面元素逐个出现,以「线稿 → 添彩」的方式模拟连续手绘过程,最后输出 MP4。 以前刷到过不少类似视频,现在有token就能开干了 📮投稿 📢频道 💬吹水 🌐网站
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Showing the 12 most recent of 36 posts we hold for @xgeekshare. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
@xgeekshare edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 18 September 2026 — this entry's latest reading, not the date you are reading this.
“极客分享 2.0” (@xgeekshare), 13,497 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xgeekshare.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.