Bilibili Page Reader
Misaka-Mikoto-Tech/agent-skills
Get content from Bilibili videos: official subtitles, danmaku (density/peaks/sample), comments.
Read and transcribe the text visible inside an image file (PNG/JPG/JPEG/WebP/BMP/GIF) using the built-in Windows Media.Ocr OCR engine, with NO external credential or network required.
$ npx skills add Tai609/NebulaMat --skill image-ocr -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Tai609/NebulaMat image-ocr --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .claude/skills && cp -r skills-src/runtime/skills-bundle/image-ocr .claude/skills/image-ocr && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "image-ocr" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/image-ocr into .claude/skills/image-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-ocr", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/image-ocrType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Tai609/NebulaMat --skill image-ocr -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Tai609/NebulaMat image-ocr --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .agents/skills && cp -r skills-src/runtime/skills-bundle/image-ocr .agents/skills/image-ocr && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "image-ocr" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/image-ocr into .agents/skills/image-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-ocr", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Tai609/NebulaMat --skill image-ocr -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Tai609/NebulaMat image-ocr --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/runtime/skills-bundle/image-ocr .cursor/skills/image-ocr && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "image-ocr" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/image-ocr into .cursor/skills/image-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-ocr", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Tai609/NebulaMat.git --path runtime/skills-bundle/image-ocr--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Tai609/NebulaMat --skill image-ocr -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Tai609/NebulaMat image-ocr --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/runtime/skills-bundle/image-ocr .gemini/skills/image-ocr && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "image-ocr" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/image-ocr into .gemini/skills/image-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-ocr", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Tai609/NebulaMat image-ocrInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Tai609/NebulaMat --skill image-ocr -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .github/skills && cp -r skills-src/runtime/skills-bundle/image-ocr .github/skills/image-ocr && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "image-ocr" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/image-ocr into .github/skills/image-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-ocr", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Tai609/NebulaMat --skill image-ocr -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Tai609/NebulaMat image-ocr --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/runtime/skills-bundle/image-ocr .opencode/skills/image-ocr && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "image-ocr" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/image-ocr into .opencode/skills/image-ocr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-ocr", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
image-ocrRead and transcribe the text visible inside an image file (PNG/JPG/JPEG/WebP/BMP/GIF) using the built-in Windows Media.Ocr OCR engine, with NO external credential or network required.
Image OCR is an agent skill from Tai609/NebulaMat. Read and transcribe the text visible inside an image file (PNG/JPG/JPEG/WebP/BMP/GIF) using the built-in Windows Media.Ocr OCR engine, with NO external credential or network required. Use this whenever the model cannot read an image directly, the VISIONAPIKEY credential is missing, or the user pastes/attaches a screenshot and asks what it says or what is in it. Also computes image dimensions/format so the agent can describe scene context. English and Chinese (and other installed Windows OCR languages) supported.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts.
It sits in Media & Creative, covering Transcription. It works with PowerShell. The repository describes itself as: NebulaMat scientific materials research workbench.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c906ed5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (PowerShell), which the agent can run.
Shell commands in SKILL.md call:
pwshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
VISION_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Image OCR loads about 1.1k tokens when it runs. Until then it costs about 132 tokens; SKILL.md has 521 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 521 words (~1,054 tokens).
“This skill gives a text-only agent a fully local, credential-free way to "see" the text inside an image, using the OCR engine that ships with Windows 10/11 (Windows.Media.Ocr). It does not need VISION_API_KEY or any network call.”
SKILL.md and 1 other file (scripts) in runtime/skills-bundle/image-ocr of Tai609/NebulaMat.
Open the folder on GitHubat commit c906ed5
Image OCR next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Image OCR this skillTai609/NebulaMat | 100 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Bilibili Page ReaderMisaka-Mikoto-Tech/agent-skills | 275 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Videodbaffaan-m/ECC | 275k | 3 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Edu Math Videowy51ai/edulab | 1.4k | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | |
| Bilibili Transcribechubbyguan/chubbyskills | 1.2k | 1 repos | ~578 | Automated safety check: Notes | MIT | |
| Video Assemblezenstory-ai/video-recap-skills | 555 | 1 repos | ~1.7k | Automated safety check: Pass | MIT |
Misaka-Mikoto-Tech/agent-skills
Get content from Bilibili videos: official subtitles, danmaku (density/peaks/sample), comments.
affaan-m/ECC
Ingest, index, search, edit, and monitor video and audio with the VideoDB Python SDK — upload from files, URLs, or RTSP feeds, build spoken and scene indexes with timestamped search and playable…
wy51ai/edulab
A skill your agent uses when asked to make an explainer / walkthrough video (讲解视频、解题视频、例题精讲、微课) for a math problem (数学题, geometry, algebra, functions, motion/行程 problems), from a problem screenshot…
chubbyguan/chubbyskills
哔哩哔哩视频 → 下载 → 转录 → 存为 Markdown 的完整工作流. An agent skill from chubbyguan/chubbyskills.
zenstory-ai/video-recap-skills
合成视频解说最终成片:把旁白音频铺到源视频上,按旁白窗口压低原声,生成 SRT / ASS 字幕并可烧录, 最后做响度标准化。作为最终合成阶段使用。输入源视频、ttsmeta.json 与旁白位置; 输出 recap 成片和字幕。触发词:视频合成、混音、字幕、压字幕、assemble video、mux、ducking、subtitles、成片。
chubbyguan/chubbyskills
抖音视频 → 下载 → 转录 → 存为 Markdown 的完整工作流. An agent skill from chubbyguan/chubbyskills.
Tai609/NebulaMat
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including…
Tai609/NebulaMat
Manage a stateful, run-directory-based proof project with Codex: continuation across runs, run-local source bookkeeping, manual GPT Pro handoff packages when a local attempt stalls, and an optional…
Tai609/NebulaMat
Build provenance-controlled facet-specific electrochemical adsorption model cohorts from MatterGen candidates after MatterSim relaxation, including slab terminations, adsorption sites and…
Tai609/NebulaMat
Generate auditable candidate crystal structures with the project's pinned MatterGen runtime, including request construction, model/conditioning selection, GPU-cost bounds, workspace-safe output…
Tai609/NebulaMat
Run governed MatterSim-v1.0.0-5M energy, force, stress, and optional ASE FIRE relaxation for workspace-local standardized structures.
Tai609/NebulaMat
Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction…
Works with
Categories
Read and transcribe the text visible inside an image file (PNG/JPG/JPEG/WebP/BMP/GIF) using the built-in Windows Media.Ocr OCR engine, with NO external credential or network required. Image OCR is an agent skill from Tai609/NebulaMat.Ocr OCR engine, with NO external credential or network required.
Image OCR fits situations like: tasks that involve Transcription.
Run `npx skills add Tai609/NebulaMat --skill image-ocr -a claude-code`. Or copy the skill folder (runtime/skills-bundle/image-ocr in Tai609/NebulaMat) into .claude/skills/image-ocr in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Tai609/NebulaMat --skill image-ocr -a codex`. Or copy the skill folder (runtime/skills-bundle/image-ocr in Tai609/NebulaMat) into .agents/skills/image-ocr in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Tai609/NebulaMat --skill image-ocr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/image-ocr, .gemini/skills/image-ocr, .github/skills/image-ocr and .opencode/skills/image-ocr in your project.
Going by SKILL.md and its folder, Image OCR needs PowerShell for the scripts in its folder, the command-line tools its instructions call (pwsh) and credentials named VISION_API_KEY. Our summary lists: PowerShell; A credential in VISION_API_KEY.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Image OCR has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Image OCR: Bilibili Page Reader (Misaka-Mikoto-Tech/agent-skills, 275 stars), Videodb (affaan-m/ECC, 275k stars), Edu Math Video (wy51ai/edulab, 1.4k stars) and Bilibili Transcribe (chubbyguan/chubbyskills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Tai609 (a GitHub user) maintains it in Tai609/NebulaMat, which has 100 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 6, 2026.
Source: Tai609/NebulaMat on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.