Agent skill

Levyra Humanizer

by LUC4N3X in LUC4N3X/Levyra-deepsound

Apply a compact final prose pass to Levyra pull request descriptions, release notes, and owner-facing writing so it sounds natural without changing facts, evidence, structure, or validation state.

MITAuto-check passedDevelopment

Install Levyra Humanizer

skills CLI
$ npx skills add LUC4N3X/Levyra-deepsound --skill levyra-humanizer -a claude-code

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

GitHub CLI
$ gh skill install LUC4N3X/Levyra-deepsound levyra-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/LUC4N3X/Levyra-deepsound.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/levyra-humanizer .claude/skills/levyra-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
levyra-humanizer
GitHub stars
533
Token cost
~719 tokens
SKILL.md length
356 words
Files
3
Skills in repo
22
Repo updated
First seen
Licence
MIT

At a glance

Apply a compact final prose pass to Levyra pull request descriptions, release notes, and owner-facing writing so it sounds natural without changing facts, evidence, structure, or validation state.

  • Works in 4 steps: work only from the already-drafted text… → make one concise rewrite pass; → preserve all required Levyra template… → …
  • Tasks that involve Humanizing AI text
  • SKILL.md covers Goal, Non-negotiable claim parity, Natural prose pass and Embedded PR/release mode, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Levyra Humanizer is an agent skill from LUC4N3X/Levyra-deepsound. Apply a compact final prose pass to Levyra pull request descriptions, release notes, and owner-facing writing so it sounds natural without changing facts, evidence, structure, or validation state.

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files.

It sits in Development, covering Humanizing AI text, Changelog and release notes and Pull requests. The repository describes itself as: Open-source music player for Android and Windows with no accounts or tracking. Built for quick discovery, synced lyrics, radio, and rich artwork ♫. The licence is MIT.

When your agent uses it

  • Tasks that involve Humanizing AI text
  • Tasks that involve Changelog and release notes
  • Tasks that involve Pull requests

Example prompts

  • “/levyra-humanizer”

Workflow steps

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

  1. work only from the already-drafted text and its verified evidence;
  2. make one concise rewrite pass;
  3. preserve all required Levyra template sections and unperformed checkboxes;
  4. return only the final text unless the caller explicitly needs a change summary.

What it can do on your machine

Read from SKILL.md and the folder at commit 35cd2be. 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.

    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

Levyra Humanizer loads about 719 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 356 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~719

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 LUC4N3X/Levyra-deepsound at commit 35cd2be, republished under its MIT licence (© LUC4N3X). 356 words, ~719 tokens.

Download SKILL.mdSave it as .claude/skills/levyra-humanizer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
levyra-humanizer
description
Apply a compact final prose pass to Levyra pull request descriptions, release notes, and owner-facing writing so it sounds natural without changing facts, evidence, structure, or validation state.
license
MIT
metadata.version
2.11.2-levyra-compact
metadata.upstream
blader/humanizer@e2e92e7b4b8229253ed5c8e81dc65463fdeddda5

Levyra humanizer

Goal

Make finished prose sound like a person wrote it while preserving every factual claim. This is a lightweight final pass, not a research, review, or reasoning stage. Do not reopen the codebase or load extra evidence merely to humanize text.

Non-negotiable claim parity

  • Keep every fact, number, date, path, version, test result, checkbox, citation, limitation, and risk state unchanged unless the source itself requires correction.
  • Never turn UNRUN, BLOCKED, FAIL, uncertainty, or missing evidence into a stronger claim.
  • Preserve required templates, headings, Markdown structure, code blocks, YAML, links, and release-note schema.
  • Do not invent context, praise, motives, benefits, sources, or validation.

Natural prose pass

Prefer simple verbs, concrete nouns, varied sentence length, and the writer's existing vocabulary. When a real writing sample is available, match its tone and punctuation instead of imposing a generic style.

Remove only clear AI-writing residue:

  • generic preambles, chatbot closers, fake-candid hooks, and "let me know" offers;
  • inflated importance, sales language, vague expert claims, and generic optimism;
  • filler, stacked qualifiers, forced groups of three, synonym cycling, and repeated headings;
  • excessive bold mini-labels, decorative emoji, and formulaic "not X but Y" phrasing;
  • em/en dashes when the writer's sample does not normally use them.

Keep technical language technical. Do not simplify a term when precision would be lost. One pattern alone is not a reason to rewrite natural prose.

Show full SKILL.md (132 more words)Show less

Embedded PR/release mode

For PR descriptions, release notes, commit-adjacent prose, and other embedded uses:

  1. work only from the already-drafted text and its verified evidence;
  2. make one concise rewrite pass;
  3. preserve all required Levyra template sections and unperformed checkboxes;
  4. return only the final text unless the caller explicitly needs a change summary.

Do not spend engineering context on examples of writing style. The final prose pass should be much cheaper than the engineering work it describes.

Final check

Before returning, verify: same claims, same validation truth, same required structure, no invented facts, no lost limitation, and no obvious chatbot filler.

Provenance

This compact Levyra adaptation keeps the useful principles of the MIT-licensed blader/humanizer method while removing its large example catalog from the runtime skill body to reduce context cost.

© LUC4N3X, 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 2 other files in .agents/skills/levyra-humanizer of LUC4N3X/Levyra-deepsound.

  • SKILL.md
  • LICENSE
  • REUSE.toml

Open the folder on GitHubat commit 35cd2be

Compare with similar skills

Levyra 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.

Levyra Humanizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Levyra Humanizer this skillLUC4N3X/Levyra-deepsound533—~719Automated safety check: PassMIT
Avoid AI Writingwshobson/agents40k—~1.9kAutomated safety check: PassMIT
Simple History Voicebonny/WordPress-Simple-History317—~775Automated safety check: PassNone
StarRocks Release NotesStarRocks/starrocks12k—~1.9kAutomated safety check: NotesApache-2.0
Opik Documentation Patternscomet-ml/opik22k—~1.3kAutomated safety check: PassApache-2.0
Change Documentation Writerjsmastery-pro/skills1.5k—~2.4kAutomated safety check: NotesMIT

Similar skills

  • Avoid AI Writing

    wshobson/agents

    Audit and rewrite prose so it stops reading as machine-generated.

    40k GitHub stars~1.9k tokensUpdated 4 days ago
    DevelopmentAuto-check passed
  • Simple History Voice

    bonny/WordPress-Simple-History

    Pär's writing voice and per-text-type rules for Simple History, on top of the humanizer skill.

    317 GitHub stars~775 tokensUpdated 2 days ago
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  • StarRocks Release Notes

    StarRocks/starrocks

    Drafts English release notes for a StarRocks patch release from the PRs merged into its release branch, then opens a documentation PR and hands translation to /translate.

    12k GitHub stars~1.9k tokensUpdated today
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  • Rules for writing PR descriptions, changelog entries and feature documentation in the Opik repository, including the exact headings that CI requires.

    22k GitHub stars~1.3k tokensUpdated today
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  • Change Documentation Writer

    jsmastery-pro/skills

    Writes PR descriptions, changelog entries, release notes and postmortems from the actual commits and diff, and saves each one in the right place.

    1.5k GitHub stars~2.4k tokensUpdated 2 mo ago
    DevelopmentAuto-check: notes
  • Natural Writing

    a2ui-project/a2ui

    Contains well-defined rules for creating natural, accurate, and readable writing.

    17k GitHub starsUsed in 1 repo~2.1k tokens
    DevelopmentAuto-check passed

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Questions about Levyra Humanizer

What does Levyra Humanizer do?

Apply a compact final prose pass to Levyra pull request descriptions, release notes, and owner-facing writing so it sounds natural without changing facts, evidence, structure, or validation state. Levyra Humanizer is an agent skill from LUC4N3X/Levyra-deepsound. Apply a compact final prose pass to Levyra pull request descriptions, release notes, and owner-facing writing so it sounds natural without changing facts, evidence, structure, or validation state.

When should I use Levyra Humanizer?

Levyra Humanizer fits situations like: tasks that involve Humanizing AI text; tasks that involve Changelog and release notes; tasks that involve Pull requests.

How do I install Levyra Humanizer in Claude Code?

Run `npx skills add LUC4N3X/Levyra-deepsound --skill levyra-humanizer -a claude-code`. Or copy the skill folder (.agents/skills/levyra-humanizer in LUC4N3X/Levyra-deepsound) into .claude/skills/levyra-humanizer in your project. Claude Code loads it when a task matches its description.

How do I install Levyra Humanizer in Codex?

Run `npx skills add LUC4N3X/Levyra-deepsound --skill levyra-humanizer -a codex`. Or copy the skill folder (.agents/skills/levyra-humanizer in LUC4N3X/Levyra-deepsound) into .agents/skills/levyra-humanizer in your project. Codex loads it when a task matches its description.

Can I use Levyra 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 LUC4N3X/Levyra-deepsound --skill levyra-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/levyra-humanizer, .gemini/skills/levyra-humanizer, .github/skills/levyra-humanizer and .opencode/skills/levyra-humanizer in your project.

What does Levyra Humanizer need to run?

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

Does Levyra 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 Levyra 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 Levyra Humanizer use?

Levyra Humanizer 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 Levyra Humanizer use?

About 719 tokens (SKILL.md is roughly 2.9k 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 Levyra Humanizer?

Skills that share tags, products or a category with Levyra Humanizer: Avoid AI Writing (wshobson/agents, 40k stars), Simple History Voice (bonny/WordPress-Simple-History, 317 stars), StarRocks Release Notes (StarRocks/starrocks, 12k stars) and Opik Documentation Patterns (comet-ml/opik, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Levyra Humanizer?

LUC4N3X (a GitHub user) maintains it in LUC4N3X/Levyra-deepsound, which has 533 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 9, 2026.

Source: LUC4N3X/Levyra-deepsound on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.