Dingo Verify
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
The user asks about videos watched in the past or across sessions — "have we watched anything about X", "which video showed that error", "what did that meeting decide", "search my videos", or a…
Install Video Memory
$ npx skills add oxbshw/watch-skill --skill video-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oxbshw/watch-skill video-memory --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/oxbshw/watch-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-memory .claude/skills/video-memory && 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 "video-memory" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/video-memory into .claude/skills/video-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-memory", 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/oxbshw/watch-skill/tree/main/skills/video-memoryType 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 oxbshw/watch-skill --skill video-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oxbshw/watch-skill video-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oxbshw/watch-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/video-memory .agents/skills/video-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-memory" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/video-memory into .agents/skills/video-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-memory", 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 oxbshw/watch-skill --skill video-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oxbshw/watch-skill video-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oxbshw/watch-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/video-memory .cursor/skills/video-memory && 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 "video-memory" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/video-memory into .cursor/skills/video-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-memory", 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/oxbshw/watch-skill.git --path skills/video-memory--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 oxbshw/watch-skill --skill video-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oxbshw/watch-skill video-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oxbshw/watch-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/video-memory .gemini/skills/video-memory && 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 "video-memory" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/video-memory into .gemini/skills/video-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-memory", 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 oxbshw/watch-skill video-memoryInstalls 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 oxbshw/watch-skill --skill video-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/oxbshw/watch-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/video-memory .github/skills/video-memory && 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 "video-memory" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/video-memory into .github/skills/video-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-memory", 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 oxbshw/watch-skill --skill video-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install oxbshw/watch-skill video-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oxbshw/watch-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/video-memory .opencode/skills/video-memory && 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 "video-memory" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/video-memory into .opencode/skills/video-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-memory", 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.
Facts
- Skill name
video-memory- GitHub stars
- 460
- Token cost
- ~569 tokens
- SKILL.md length
- 237 words
- Files
- 1
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
The user asks about videos watched in the past or across sessions — "have we watched anything about X", "which video showed that error", "what did that meeting decide", "search my videos", or a…
- AI & LLM Engineering work in your project
- SKILL.md covers What's in the library?, Find something across all of it, Questions that span videos and Batches build memory fast
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Video Memory is an agent skill from oxbshw/watch-skill. The user asks about videos watched in the past or across sessions — "have we watched anything about X", "which video showed that error", "what did that meeting decide", "search my videos", or a question that spans several videos. Use this to search and answer from the persistent cross-video index instead of saying you don't remember.
Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. It works with DeepSeek. The repository describes itself as: Give AI agents eyes, ears, and verifiable results. Watch Skill turns video, audio and screen activity into searchable, timestamped evidence and proves work with deterministic… The licence is MIT.
When your agent uses it
- AI & LLM Engineering work in your project
Example prompts
- “have we watched anything about X”
- “which video showed that error”
- “what did that meeting decide”
- “/video-memory”
Requirements
- Pre-approved tools (allowed-tools): Bash, Read
What it can do on your machine
Read from SKILL.md and the folder at commit f1317c8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashRead
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Video Memory loads about 569 tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 237 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.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from oxbshw/watch-skill at commit f1317c8, republished under its MIT licence (© oxbshw). 237 words, ~569 tokens.
Download SKILL.mdSave it as
.claude/skills/video-memory/SKILL.md (or your agent's skills folder).- name
- video-memory
- description
- The user asks about videos watched in the past or across sessions — "have we watched anything about X", "which video showed that error", "what did that meeting decide", "search my videos", or a question that spans several videos. Use this to search and answer from the persistent cross-video index instead of saying you don't remember.
- allowed-tools
- Bash, Read
- version
- 1.4.3
- license
- MIT
- user-invocable
- true
Video memory
Every video ever watched on this machine is still here — frames, OCR,
transcripts, and past answers, in one persistent index under
~/.watch-skill/. You never have to say "I don't remember that video."
Sessions don't expire it; watching more videos makes it more useful.
What's in the library?
watch-skill listEvery indexed video: id, title, duration, when it was analyzed. Check here before watching anything — it may already be in memory from a previous session.
Find something across all of it
watch-skill search "<phrase or keywords>"Hybrid keyword + semantic search across every video, any language (Arabic folding, CJK and Thai segmentation are handled). Hits come back with video + timestamp; follow up on a hit with:
watch-skill ask <video_id> "<the user's actual question>"
watch-skill ask <video_id> "what is on screen at <timestamp>?"Questions that span videos
"What did we decide about the pricing page across those meetings?" — questions no single video answers go to the library synthesizer:
watch-skill library ask "<the question>"It answers from distilled notes across every indexed video, drills into
real evidence, and cites video + timestamp for each finding. When it
says the library does not clearly answer, trust that — do not stitch a
guess together from weak search hits. watch-skill library overview
shows what the library knows (videos, note counts, entities recurring
across videos).
For "which video showed X" (locate, not synthesize), plain search is
the right tool; then ask the hit video.
Batches build memory fast
A playlist or a folder of recordings goes in as one call —
watch-skill batch "<playlist-or-folder>" — and the whole set becomes
searchable memory (see watching-videos).
© oxbshw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/video-memory of oxbshw/watch-skill.
Open the folder on GitHubat commit f1317c8
Compare with similar skills
Video Memory 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 |
|---|---|---|---|---|---|---|
| Video Memory this skilloxbshw/watch-skill | 460 | — | ~569 | Automated safety check: Notes | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~833 | Automated safety check: Pass | Apache-2.0 | |
| Deepseek Helperdongsheng123132/u-claw | 1.8k | — | ~367 | Automated safety check: Pass | MIT | |
| SimPO Preference TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 5 repos | ~1.5k | Automated safety check: Pass | MIT | |
| slime RL Post-TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 5 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Oracle Agent Team OrchestratorBald0Wang/DeepSeek-Oracle | 187 | — | ~551 | Automated safety check: Pass | None |
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The user asks a question about a video that was already watched or indexed — "what did they say about X", "what error code appears", "what happens at 2:30", "does the video show Y".
Configuring Vision
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The Loop
oxbshw/watch-skill
The user built or changed something visual — a UI, an animation, a game, a generated video — and wants it verified, or asks "why does my UI look wrong", "check that the fix actually worked", "does…
Sharing Results
oxbshw/watch-skill
The user wants to share or hand off what was found in a video — "send this analysis to my team", "make a page I can share", "export the findings", "give me something I can attach to the ticket".
Watching Videos
oxbshw/watch-skill
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Related
Works with
Categories
Questions about Video Memory
What does Video Memory do?
The user asks about videos watched in the past or across sessions — "have we watched anything about X", "which video showed that error", "what did that meeting decide", "search my videos", or a…. Video Memory is an agent skill from oxbshw/watch-skill. The user asks about videos watched in the past or across sessions — "have we watched anything about X", "which video showed that error", "what did that meeting decide", "search my videos", or a question that spans several videos.
When should I use Video Memory?
Video Memory fits situations like: AI & LLM Engineering work in your project.
How do I install Video Memory in Claude Code?
Run `npx skills add oxbshw/watch-skill --skill video-memory -a claude-code`. Or copy the skill folder (skills/video-memory in oxbshw/watch-skill) into .claude/skills/video-memory in your project. Claude Code loads it when a task matches its description.
How do I install Video Memory in Codex?
Run `npx skills add oxbshw/watch-skill --skill video-memory -a codex`. Or copy the skill folder (skills/video-memory in oxbshw/watch-skill) into .agents/skills/video-memory in your project. Codex loads it when a task matches its description.
Can I use Video Memory in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add oxbshw/watch-skill --skill video-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-memory, .gemini/skills/video-memory, .github/skills/video-memory and .opencode/skills/video-memory in your project.
What does Video Memory need to run?
SKILL.md names no scripts, command-line tools or credentials: Video Memory is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read.
Does Video Memory access the network?
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.
Is Video Memory safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Video Memory use?
Video Memory is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Video Memory use?
About 569 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Video Memory?
Skills that share tags, products or a category with Video Memory: Dingo Verify (MigoXLab/dingo, 757 stars), Deepseek Helper (dongsheng123132/u-claw, 1.8k stars), SimPO Preference Training (Orchestra-Research/AI-Research-SKILLs, 13k stars) and slime RL Post-Training (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Video Memory?
oxbshw (a GitHub user) maintains it in oxbshw/watch-skill, which has 460 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 14, 2026.
Source: oxbshw/watch-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.