Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it.

MITAuto-check passedWriting & Content

Install Summarize

skills CLI
$ npx skills add SerhiiKorniienko/bullshit-detector --skill summarize -a claude-code

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

GitHub CLI
$ gh skill install SerhiiKorniienko/bullshit-detector summarize --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/SerhiiKorniienko/bullshit-detector.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analysis/summarize .claude/skills/summarize && 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
summarize
GitHub stars
154
Token cost
~420 tokens
SKILL.md length
122 words
Files
2
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it.

  • Works in 2 steps: Get the text. If the input is a URL and… → Read fully, then write
  • The user asks to summarize a link
  • SKILL.md covers Workflow and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Summarize is an agent skill from SerhiiKorniienko/bullshit-detector. Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it. Use when the user asks to summarize a link or file, wants a TLDR, or asks "what does this video/article say" / "is this worth watching".

Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.

It sits in Writing & Content, covering Summarization and Social media posts. The repository describes itself as: Agent skills that fact-check the internet: claim-by-claim verification with sources and a 0-10 BS score for any YouTube video, article, tweet, or PDF. The licence is MIT.

When your agent uses it

  • The user asks to summarize a link
  • Asks what does this video/article say / is this worth watching

Example prompts

  • “what does this video/article say”
  • “is this worth watching”
  • “/summarize”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Get the text. If the input is a URL and the fetch-content skill is installed, use its script; otherwise use your web fetch tool or ask for…
  2. Read fully, then write

What it can do on your machine

Read from SKILL.md and the folder at commit d5f6156. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    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

Summarize loads about 420 tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 122 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~420

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 passed

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from SerhiiKorniienko/bullshit-detector at commit d5f6156, republished under its MIT licence (© SerhiiKorniienko). 122 words, ~420 tokens.

Download SKILL.mdSave it as .claude/skills/summarize/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
summarize
description
Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it. Use when the user asks to summarize a link or file, wants a TLDR, or asks "what does this video/article say" / "is this worth watching".

summarize

Give someone the content without the runtime.

Workflow

  1. Get the text. If the input is a URL and the fetch-content skill is installed, use its script; otherwise use your web fetch tool or ask for a paste. Keep the metadata.
  2. Read fully, then write:
markdown
# <title>
**<author> · <platform> · <date> · <duration/length> · <views if notable>**

**TLDR:** one paragraph, ≤3 sentences — the actual thesis, not the topic.

## Key points
Bulleted. Each point = one idea, with [timestamp] or [p.N] so the
reader can jump to it. Preserve the content's own structure (if it
promises "14 ways", list all 14 — compressed, not truncated).

## Notable quotes
1–3 verbatim quotes that carry the content's voice, with locations.

## Worth your time?
One honest sentence per audience: who gains from the full version,
who is fine with this summary.

Rules

  • Summarize what the content says, not what you think of it (that's the bullshit-detector skill — mention it if the content smells hyped, don't perform its job here).
  • Numbers, names, and claims must come from the content verbatim — no rounding, no "improving".
  • If the content is listicle-shaped, the summary must contain the complete list. Never "...and 9 more ways".
  • Scale length to source: a tweet gets 3 lines, a 3-hour podcast gets a full page.

© SerhiiKorniienko, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/analysis/summarize of SerhiiKorniienko/bullshit-detector.

  • SKILL.md
  • VERSION

Open the folder on GitHubat commit d5f6156

Compare with similar skills

Summarize 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.

Summarize compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Summarize this skillSerhiiKorniienko/bullshit-detector154—~420Automated safety check: PassMIT
Summarize Anythingswyxio/skills176—~6.3kAutomated safety check: PassMIT
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone
Linkedin Marketingsergebulaev/linkedin-skills4.4k1 repos~3.2kAutomated safety check: NotesMIT
News Aggregator Skillcclank/news-aggregator-skill1.3k—~2.1kAutomated safety check: PassNone

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Questions about Summarize

What does Summarize do?

Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it. Summarize is an agent skill from SerhiiKorniienko/bullshit-detector. Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it.

When should I use Summarize?

Summarize fits situations like: the user asks to summarize a link; asks what does this video/article say / is this worth watching.

How do I install Summarize in Claude Code?

Run `npx skills add SerhiiKorniienko/bullshit-detector --skill summarize -a claude-code`. Or copy the skill folder (skills/analysis/summarize in SerhiiKorniienko/bullshit-detector) into .claude/skills/summarize in your project. Claude Code loads it when a task matches its description.

How do I install Summarize in Codex?

Run `npx skills add SerhiiKorniienko/bullshit-detector --skill summarize -a codex`. Or copy the skill folder (skills/analysis/summarize in SerhiiKorniienko/bullshit-detector) into .agents/skills/summarize in your project. Codex loads it when a task matches its description.

Can I use Summarize 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 SerhiiKorniienko/bullshit-detector --skill summarize -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/summarize, .gemini/skills/summarize, .github/skills/summarize and .opencode/skills/summarize in your project.

What does Summarize need to run?

SKILL.md names no scripts, command-line tools or credentials: Summarize is instructions for the agent only.

Does Summarize 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 Summarize safe to install?

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. Review the folder before installing.

What licence does Summarize use?

Summarize is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Summarize use?

About 420 tokens (SKILL.md is roughly 1.7k 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 Summarize?

Skills that share tags, products or a category with Summarize: Summarize Anything (swyxio/skills, 176 stars), Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars) and Linkedin Marketing (sergebulaev/linkedin-skills, 4.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Summarize?

SerhiiKorniienko (a GitHub user) maintains it in SerhiiKorniienko/bullshit-detector, which has 154 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 29, 2026.

Source: SerhiiKorniienko/bullshit-detector on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.