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 corrected an answer about a video — "no, it actually says X", "that's the wrong timestamp", "you misread the error code" — or asks why a video answer was wrong.
$ npx skills add oxbshw/watch-skill --skill learning-from-mistakes -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oxbshw/watch-skill learning-from-mistakes --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/learning-from-mistakes .claude/skills/learning-from-mistakes && 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 "learning-from-mistakes" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/learning-from-mistakes into .claude/skills/learning-from-mistakes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-from-mistakes", 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/learning-from-mistakesType 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 learning-from-mistakes -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oxbshw/watch-skill learning-from-mistakes --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/learning-from-mistakes .agents/skills/learning-from-mistakes && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "learning-from-mistakes" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/learning-from-mistakes into .agents/skills/learning-from-mistakes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-from-mistakes", 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 learning-from-mistakes -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oxbshw/watch-skill learning-from-mistakes --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/learning-from-mistakes .cursor/skills/learning-from-mistakes && 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 "learning-from-mistakes" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/learning-from-mistakes into .cursor/skills/learning-from-mistakes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-from-mistakes", 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/learning-from-mistakes--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 learning-from-mistakes -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oxbshw/watch-skill learning-from-mistakes --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/learning-from-mistakes .gemini/skills/learning-from-mistakes && 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 "learning-from-mistakes" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/learning-from-mistakes into .gemini/skills/learning-from-mistakes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-from-mistakes", 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 learning-from-mistakesInstalls 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 learning-from-mistakes -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/learning-from-mistakes .github/skills/learning-from-mistakes && 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 "learning-from-mistakes" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/learning-from-mistakes into .github/skills/learning-from-mistakes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-from-mistakes", 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 learning-from-mistakes -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 learning-from-mistakes --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/learning-from-mistakes .opencode/skills/learning-from-mistakes && 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 "learning-from-mistakes" agent skill from https://github.com/oxbshw/watch-skill/tree/main/skills/learning-from-mistakes into .opencode/skills/learning-from-mistakes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-from-mistakes", 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.
learning-from-mistakesThe user corrected an answer about a video — "no, it actually says X", "that's the wrong timestamp", "you misread the error code" — or asks why a video answer was wrong.
Learning From Mistakes is an agent skill from oxbshw/watch-skill. The user corrected an answer about a video — "no, it actually says X", "that's the wrong timestamp", "you misread the error code" — or asks why a video answer was wrong. Use this to record the correction as a lesson so future answers on similar questions improve, and to show what the system has learned and saved.
Its SKILL.md is about 380 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.
Read from SKILL.md and the folder at commit f1317c8. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadFrom allowed-tools in the SKILL.md frontmatter.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Learning From Mistakes loads about 380 tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 141 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, ReadAutomated 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.
The full file from oxbshw/watch-skill at commit f1317c8, republished under its MIT licence (© oxbshw). 141 words, ~380 tokens.
.claude/skills/learning-from-mistakes/SKILL.md (or your agent's skills folder).When a video answer turns out wrong, the correction is worth more than an apology. Report it and Watch Skill learns locally — the mistake is classified, stored as a lesson, injected into future similar questions, and where possible the original question is immediately re-asked to confirm the lesson actually fixes it.
The moment the user corrects a video answer, run:
watch-skill lessons add <video_id> "<question>" "<the wrong answer>" "<the correction>"The output includes the lesson (error_class, guidance) and, when the
question was re-asked, whether the corrected answer now comes back —
tell the user which it was. Nothing is uploaded; lessons live in
~/.watch-skill/.
watch-skill lessons listwatch-skill statsLifetime token economics: what text-first answering and the semantic cache have saved versus stuffing raw frames into context. Quote real numbers from it when the user asks whether any of this is worth it.
© oxbshw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/learning-from-mistakes of oxbshw/watch-skill.
Open the folder on GitHubat commit f1317c8
Learning From Mistakes 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 |
|---|---|---|---|---|---|---|
| Learning From Mistakes this skilloxbshw/watch-skill | 469 | — | ~380 | 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 | 4 repos | ~1.5k | Automated safety check: Pass | MIT | |
| slime RL Post-TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 4 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Oracle Agent Team OrchestratorBald0Wang/DeepSeek-Oracle | 187 | — | ~551 | Automated safety check: Pass | None |
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
dongsheng123132/u-claw
DeepSeek API 助手 - 编程辅助、模型选择、API调用指南、定价信息. An agent skill from dongsheng123132/u-claw.
Orchestra-Research/AI-Research-SKILLs
Walks through aligning language models with SimPO, a reference-free preference optimization method, using accelerate configs for Mistral 7B, Llama 3 8B and math-focused models.
Orchestra-Research/AI-Research-SKILLs
Guides reinforcement-learning post-training of LLMs with slime, which pairs Megatron-LM training with SGLang rollouts, including GRPO runs on GLM, Qwen3 and Llama 3 models.
Bald0Wang/DeepSeek-Oracle
Orchestrate DeepSeek Oracle multi-agent workflows by routing user intents to specialist oracle skills, enforcing safety gates, and composing one unified answer with follow-up questions and action…
lokikill123/codex-token-skills
Minimize token consumption & maximize prompt cache hit rate.
oxbshw/watch-skill
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".
oxbshw/watch-skill
The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models.
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…
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…
oxbshw/watch-skill
The user shared a video URL, a YouTube/TikTok/stream link, a local video file, a screen recording, a meeting recording, or a playlist/folder of videos — "watch this", "summarize this video", "what's…
oxbshw/watch-skill
The user wants structure pulled out of a watched video — "make chapters for this video", "where does the bug appear in this recording", "turn this screen recording into a bug report", "how strong is…
Works with
Categories
The user corrected an answer about a video — "no, it actually says X", "that's the wrong timestamp", "you misread the error code" — or asks why a video answer was wrong. Learning From Mistakes is an agent skill from oxbshw/watch-skill. The user corrected an answer about a video — "no, it actually says X", "that's the wrong timestamp", "you misread the error code" — or asks why a video answer was wrong.
Learning From Mistakes fits situations like: AI & LLM Engineering work in your project.
Run `npx skills add oxbshw/watch-skill --skill learning-from-mistakes -a claude-code`. Or copy the skill folder (skills/learning-from-mistakes in oxbshw/watch-skill) into .claude/skills/learning-from-mistakes in your project. Claude Code loads it when a task matches its description.
Run `npx skills add oxbshw/watch-skill --skill learning-from-mistakes -a codex`. Or copy the skill folder (skills/learning-from-mistakes in oxbshw/watch-skill) into .agents/skills/learning-from-mistakes 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 oxbshw/watch-skill --skill learning-from-mistakes -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learning-from-mistakes, .gemini/skills/learning-from-mistakes, .github/skills/learning-from-mistakes and .opencode/skills/learning-from-mistakes in your project.
SKILL.md names no scripts, command-line tools or credentials: Learning From Mistakes is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read.
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 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.
Learning From Mistakes is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 380 tokens (SKILL.md is roughly 1.5k 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 Learning From Mistakes: 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.
oxbshw (a GitHub user) maintains it in oxbshw/watch-skill, which has 469 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.