Agent skill

Learning From Mistakes

by oxbshw in 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.

MITAuto-check: notesAI & LLM Engineering

Install Learning From Mistakes

skills CLI
$ npx skills add oxbshw/watch-skill --skill learning-from-mistakes -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install oxbshw/watch-skill learning-from-mistakes --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
learning-from-mistakes
GitHub stars
469
Token cost
~380 tokens
SKILL.md length
141 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

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.

  • AI & LLM Engineering work in your project
  • SKILL.md covers Report a correction, See what has been learned and The savings meter
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “no, it actually says X”
  • “s the wrong timestamp”
  • “you misread the error code”
  • “/learning-from-mistakes”

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:

    • Bash
    • Read

    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

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.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~380

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). 141 words, ~380 tokens.

Download SKILL.mdSave it as .claude/skills/learning-from-mistakes/SKILL.md (or your agent's skills folder).
name
learning-from-mistakes
description
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.
allowed-tools
Bash, Read
version
1.4.3
license
MIT
user-invocable
true

Learning from mistakes

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.

Report a correction

The moment the user corrects a video answer, run:

bash
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/.

See what has been learned

bash
watch-skill lessons list

The savings meter

bash
watch-skill stats

Lifetime 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

Files

Just SKILL.md in skills/learning-from-mistakes of oxbshw/watch-skill.

Open the folder on GitHubat commit f1317c8

Compare with similar skills

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.

Learning From Mistakes compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Learning From Mistakes this skilloxbshw/watch-skill469—~380Automated safety check: NotesMIT
Dingo VerifyMigoXLab/dingo757—~833Automated safety check: PassApache-2.0
Deepseek Helperdongsheng123132/u-claw1.8k—~367Automated safety check: PassMIT
SimPO Preference TrainingOrchestra-Research/AI-Research-SKILLs13k4 repos~1.5kAutomated safety check: PassMIT
slime RL Post-TrainingOrchestra-Research/AI-Research-SKILLs13k4 repos~2.8kAutomated safety check: PassMIT
Oracle Agent Team OrchestratorBald0Wang/DeepSeek-Oracle187—~551Automated safety check: PassNone

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  • Configuring Vision

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  • The Loop

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  • Video Memory

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  • Watching Videos

    oxbshw/watch-skill

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Works with

Questions about Learning From Mistakes

What does Learning From Mistakes do?

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.

When should I use Learning From Mistakes?

Learning From Mistakes fits situations like: AI & LLM Engineering work in your project.

How do I install Learning From Mistakes in Claude Code?

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.

How do I install Learning From Mistakes in Codex?

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.

Can I use Learning From Mistakes 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 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.

What does Learning From Mistakes need to run?

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.

Does Learning From Mistakes 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 Learning From Mistakes 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 Learning From Mistakes use?

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.

How many tokens does Learning From Mistakes use?

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.

What are the alternatives to Learning From Mistakes?

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.

Who maintains Learning From Mistakes?

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.