Agent skill

Carocut Planner Humanizer

by bilibili in bilibili/carocut

“旁白脚本口语化处理与情绪节奏标注。”

— description from SKILL.md by bilibili
Custom licenceAuto-check passedWriting & Content

Install Carocut Planner Humanizer

skills CLI
$ npx skills add bilibili/carocut --skill carocut-planner-humanizer -a claude-code

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

GitHub CLI
$ gh skill install bilibili/carocut carocut-planner-humanizer --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/bilibili/carocut.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.opencode/skills/carocut-planner-humanizer .claude/skills/carocut-planner-humanizer && 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
carocut-planner-humanizer
GitHub stars
130
Token cost
~2.6k tokens
SKILL.md length
958 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
Custom licence

At a glance

  • Works in 12 steps: Exaggerated Significance → Vague Attribution → AI Vocabulary → …
  • SKILL.md covers Core Rules, Content Patterns to Fix, Style Patterns to Fix and Communication Patterns to Fix, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

About this skill

Carocut Planner Humanizer is a skill in bilibili/carocut (130 stars). Its SKILL.md is about 2.6k tokens. Licence: Custom licence.

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Exaggerated Significance
  2. Vague Attribution
  3. AI Vocabulary
  4. Copula Evasion
  5. Rule of Three Overuse
  6. Generic Positive Conclusions
  7. ing Phrase Shallow Analysis
  8. Dash Overuse
  9. Negation Parallelism
  10. Synonym Cycling
  11. Collaborative Traces
  12. Filler Phrases

What it can do on your machine

Read from SKILL.md and the folder at commit 2f8dc10. 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

Carocut Planner Humanizer loads about 2.6k tokens when it runs. Until then it costs about 11 tokens; SKILL.md has 958 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~11
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 958 words (~2,623 tokens).

“Removes AI writing patterns to make voiceover scripts sound human. Based on documented AI writing patterns that trained language models tend to produce.”

— opening of SKILL.md by bilibili, Custom licence
name
carocut-planner-humanizer

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .opencode/skills/carocut-planner-humanizer of bilibili/carocut.

Open the folder on GitHubat commit 2f8dc10

Compare with similar skills

Carocut Planner Humanizer 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.

Carocut Planner Humanizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Carocut Planner Humanizer this skillbilibili/carocut130—~2.6kAutomated safety check: PassCustom licence
HumanizerAzure-Samples/interview-coach-agent-framework17338 repos~5.8kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
User-Facing Text Cleanupguillaumemeyer/watermarks-remover24k—~3.5kAutomated safety check: PassMIT
Install Anti Sloptrycompai/crm11k1 repos~881Automated safety check: PassMIT
Stop SlopXe/site7328 repos~423Automated safety check: PassMIT

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Questions about Carocut Planner Humanizer

How do I install Carocut Planner Humanizer in Claude Code?

Run `npx skills add bilibili/carocut --skill carocut-planner-humanizer -a claude-code`. Or copy the skill folder (.opencode/skills/carocut-planner-humanizer in bilibili/carocut) into .claude/skills/carocut-planner-humanizer in your project. Claude Code loads it when a task matches its description.

How do I install Carocut Planner Humanizer in Codex?

Run `npx skills add bilibili/carocut --skill carocut-planner-humanizer -a codex`. Or copy the skill folder (.opencode/skills/carocut-planner-humanizer in bilibili/carocut) into .agents/skills/carocut-planner-humanizer in your project. Codex loads it when a task matches its description.

Can I use Carocut Planner Humanizer 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 bilibili/carocut --skill carocut-planner-humanizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/carocut-planner-humanizer, .gemini/skills/carocut-planner-humanizer, .github/skills/carocut-planner-humanizer and .opencode/skills/carocut-planner-humanizer in your project.

What does Carocut Planner Humanizer need to run?

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

Does Carocut Planner Humanizer 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 Carocut Planner Humanizer 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 Carocut Planner Humanizer use?

Carocut Planner Humanizer has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Carocut Planner Humanizer use?

About 2.6k tokens (SKILL.md is roughly 10k 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 Carocut Planner Humanizer?

Skills that share tags, products or a category with Carocut Planner Humanizer: Humanizer (Azure-Samples/interview-coach-agent-framework, 173 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars) and Install Anti Slop (trycompai/crm, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Carocut Planner Humanizer?

bilibili (a GitHub organization) maintains it in bilibili/carocut, which has 130 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on April 20, 2026.

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