DeepSeek Harness Remote
DeepSeek Harness Remote 可将手机或另一台电脑与你运行 DeepSeek Harness 的电脑安全连接,随时随地继续你的工作,方便随时查看进度并继续工作。
AI 翻译
尚未检测到更新。GitHub 发布版本后会显示在这里。
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权,自行管理介绍,无需管理员批准。
登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证制作者的介绍仅有上面的一句话。 更多详情请阅读仓库 README。 仓库 README ↗
正在加载完整 README。
查看完整 README ↗Created by Ram Lakhan Meena, INSPECTOR CBIC · 2026-10-27
Split a PDF to fit an upload limit, compress it, reorder its pages, fill and sign it, number the pages by hand — and make the passport photo and signature every form asks for, in exactly the size, resolution and file size it wants.
Open it: https://rlm-pdf-toolkit.github.io/ Android app: https://github.com/rlm-pdf-toolkit/rlm-pdf-toolkit.github.io/releases/latest/download/PDF-Toolkit.apk
| Tab | What for |
|---|---|
| Split by size | Upload limit of 5 MB? It measures every page and suggests where to cut so each part fits. Cut by eye on page previews, name each part, download as a ZIP. |
| Compress | Quality slider 0–100 with a recommended setting and a before/after preview of a page. Also puts 2, 4, 6, 8 or 9 pages on one sheet. |
| Scan (top of the page) | Scan pages with the camera into a new PDF, like a scanning app: edges found, page straightened to its true shape, shadows lifted, paper white. Scanned colour, grey, black & white, or the original photo. Or make a PDF from photos on the phone. |
| Organise pages | Move, turn, remove, duplicate pages; insert another PDF, a blank page, or scanned pages from the camera anywhere. Click a page to see it full screen, zoom in, and act on it there. Undo. |
| Number & stamp | Pencil-style page numbers that skip blank pages; a line of text anywhere; a watermark; your signature, blended into the paper so it looks signed. |
| Auto-split | Splits a bundle where a new document begins — printed page numbers restarting, a heading, a blank separator sheet. Reads scans with OCR. |
| Fill & edit | Click anywhere to type. The text takes the font, size and colour of the printed text beside it and sits on its line. Ticks, crosses, boxes, lines, white-out, highlight, photos, signatures and scanned cards or papers. |
| Photo & sign | Passport/form photo, signature, and documents (Aadhaar, PAN, certificates, any picture: straightened, cleaned, cropped to any shape). Photo and signature: crop, size in mm/cm/inch/pixels, DPI written into the file, KB limits met automatically, background removed (also behind hair), name and date below, a print sheet of copies. Take it with the camera right in the app. |
Open https://rlm-pdf-toolkit.github.io/ in Chrome or Edge and tap Install as an app at the top (or ⋮ → Add to Home screen → Install).
Open the address in Safari → Share → Add to Home Screen.
Every change pushed to this repository is live on the website within a minute or two, and reaches the Android app too — the app opens the website, so it does not need a new APK. When a newer version is ready, the open app shows "A newer version is ready — Update now".
The APK itself is rebuilt by GitHub only when the android/ folder changes.
The toolkit has a website of its own, https://rlm-pdf-toolkit.github.io/, served from this
repository (rlm-pdf-toolkit.github.io in the free GitHub organization
rlm-pdf-toolkit). It must not go back into a folder of
rlm1711204.github.io: that website is Kaasu's, and a Kaasu installed from
Chrome opens every link on it — so the toolkit's link would open Kaasu.
If the address shows 404: open https://github.com/rlm-pdf-toolkit/rlm-pdf-toolkit.github.io/settings/pages, set Source → Deploy from a branch, Branch → main, folder / (root), Save.
Full-screen Android app: .well-known/assetlinks.json in this repository
is the website vouching for the APK (see android/README.md).
| Path | What it is |
|---|---|
index.html | The whole toolkit. Its first comment carries the version log, newest first. |
sw.js | Keeps the app on the phone for offline use. Raise VERSION with each release. |
manifest.webmanifest, icons/ | What makes it installable, and its icon. |
lib/ | The libraries it runs on, kept here so it never depends on another website. |
models/ | The two background-removal models, loaded only when used. |
android/ | The Android app (see android/README.md). |
.well-known/assetlinks.json | Lets the Android app open full screen. |
tests/ | Checks for the engines inside index.html: npm test (Node 18+). |
colab/ | The original Colab notebook the toolkit grew from (v1.0). |
Every version from v1.0 is a commit of its own in this repository's history,
dated to its version-log entry, with that entry as the commit message —
git log (or the Commits page on GitHub) shows what changed in each.
Built on pdf-lib (MIT), pdf.js (Apache-2.0), JSZip (MIT), TensorFlow.js
(Apache-2.0) and, for OCR only, tesseract.js (Apache-2.0). Background removal
uses Google MediaPipe's selfie segmentation model (Apache-2.0) and Robust Video
Matting by Peter Lin (GPL-3.0), as converted in @vladmandic/human-models
(MIT). Details in THIRD_PARTY_NOTICES.md.