Agent skill

Sharing Results

by oxbshw in 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".

MITAuto-check: notesAI & LLM Engineering

Install Sharing Results

skills CLI
$ npx skills add oxbshw/watch-skill --skill sharing-results -a claude-code

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

GitHub CLI
$ gh skill install oxbshw/watch-skill sharing-results --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/sharing-results .claude/skills/sharing-results && 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
sharing-results
GitHub stars
470
Token cost
~408 tokens
SKILL.md length
171 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

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".

  • AI & LLM Engineering work in your project
  • SKILL.md covers Generate the page and Hand-off patterns
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sharing Results is an agent skill from 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". Use this to render a self-contained offline HTML viewer page with the frames, transcript, and every cached answer with its evidence.

Its SKILL.md is about 410 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

  • “send this analysis to my team”
  • “make a page I can share”
  • “export the findings”
  • “/sharing-results”

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

Sharing Results loads about 408 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 171 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~408

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). 171 words, ~408 tokens.

Download SKILL.mdSave it as .claude/skills/sharing-results/SKILL.md (or your agent's skills folder).
name
sharing-results
description
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". Use this to render a self-contained offline HTML viewer page with the frames, transcript, and every cached answer with its evidence.
allowed-tools
Bash, Read
version
1.4.3
license
MIT
user-invocable
true

Sharing results

An analysis that lives only in this chat dies with it. The viewer turns an analyzed video into a single HTML file anyone can open — no server, no internet, no Watch Skill install on the other end.

Generate the page

bash
watch-skill viewer <video_id-or-source> [-o <path>]

The file contains, self-contained (frames inlined as data URIs, zero external requests):

  • a timeline with key-frame cards and timestamps,
  • the transcript and all on-screen text (OCR),
  • every question asked about the video so far, with its answer, confidence badge, and the exact timestamped evidence cited.

Answer questions FIRST, then generate. The page includes cached answers, so ask what the user cares about before rendering — a viewer generated before any questions holds only frames and transcript.

Hand-off patterns

  • Bug ticket: run watch-skill extract bug-report first, then the viewer — the ticket gets the structured report, the viewer link gives reviewers the evidence.
  • Review request: send the file itself (it is one .html, typically well under a few hundred KB); it opens in any browser, RTL text renders correctly, nothing phones home.

© 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/sharing-results of oxbshw/watch-skill.

Open the folder on GitHubat commit f1317c8

Compare with similar skills

Sharing Results 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.

Sharing Results compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sharing Results this skilloxbshw/watch-skill470—~408Automated 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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More from oxbshw/watch-skill

All 10 skills in this repo
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  • 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…

    470 GitHub stars~622 tokensUpdated 25 days ago
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  • Video Memory

    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…

    470 GitHub stars~569 tokensUpdated 25 days ago
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  • Watching Videos

    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…

    470 GitHub stars~599 tokensUpdated 25 days ago
    Auto-check: notes
  • Extracting Structure

    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…

    470 GitHub stars~490 tokensUpdated 25 days ago
    Auto-check: notes

Works with

Questions about Sharing Results

What does Sharing Results do?

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". Sharing Results is an agent skill from 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".

When should I use Sharing Results?

Sharing Results fits situations like: AI & LLM Engineering work in your project.

How do I install Sharing Results in Claude Code?

Run `npx skills add oxbshw/watch-skill --skill sharing-results -a claude-code`. Or copy the skill folder (skills/sharing-results in oxbshw/watch-skill) into .claude/skills/sharing-results in your project. Claude Code loads it when a task matches its description.

How do I install Sharing Results in Codex?

Run `npx skills add oxbshw/watch-skill --skill sharing-results -a codex`. Or copy the skill folder (skills/sharing-results in oxbshw/watch-skill) into .agents/skills/sharing-results in your project. Codex loads it when a task matches its description.

Can I use Sharing Results 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 sharing-results -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sharing-results, .gemini/skills/sharing-results, .github/skills/sharing-results and .opencode/skills/sharing-results in your project.

What does Sharing Results need to run?

SKILL.md names no scripts, command-line tools or credentials: Sharing Results is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read.

Does Sharing Results 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 Sharing Results 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 Sharing Results use?

Sharing Results 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 Sharing Results use?

About 408 tokens (SKILL.md is roughly 1.6k 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 Sharing Results?

Skills that share tags, products or a category with Sharing Results: 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 Sharing Results?

oxbshw (a GitHub user) maintains it in oxbshw/watch-skill, which has 470 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.