Agent skill

Voice Baseline

by huytieu in huytieu/COG-second-brain

Measure your own writing corpus for the words and sentence shapes you over-use, so an agent writing in your voice stops amplifying your tics into a style.

MITAuto-check passed

Install Voice Baseline

skills CLI
$ npx skills add huytieu/COG-second-brain --skill voice-baseline -a claude-code

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

GitHub CLI
$ gh skill install huytieu/COG-second-brain voice-baseline --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/huytieu/COG-second-brain.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/voice-baseline .claude/skills/voice-baseline && 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
voice-baseline
GitHub stars
1.3k
Token cost
~957 tokens
SKILL.md length
567 words
Files
2 (incl. scripts)
Skills in repo
37
Repo updated
First seen
Licence
MIT

At a glance

Measure your own writing corpus for the words and sentence shapes you over-use, so an agent writing in your voice stops amplifying your tics into a style.

  • An agents drafts start sounding like a caricature of you
  • SKILL.md covers Run it, What it measures, How to read the result and Re-measure
  • Runs Python scripts from its folder; calls python3
  • Before publishing anything written in your voice

What it does

Voice Baseline is an agent skill from huytieu/COG-second-brain. Measure your own writing corpus for the words and sentence shapes you over-use, so an agent writing in your voice stops amplifying your tics into a style. Produces a counted baseline file and checks any new draft against it. Use when an agent's drafts start sounding like a caricature of you, before publishing anything written in your voice, or every ten new pieces to re-measure.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/census.py`).

The repository describes itself as: Self-evolving second brain with 35 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework… The licence is MIT.

When your agent uses it

  • An agents drafts start sounding like a caricature of you
  • Before publishing anything written in your voice
  • Every ten new pieces to re-measure

Example prompts

  • “/voice-baseline”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 36ac9d7. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Voice Baseline loads about 957 tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 567 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~957

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); the scripts in this folder are not scanned.

SKILL.md

The full file from huytieu/COG-second-brain at commit 36ac9d7, republished under its MIT licence (© huytieu). 567 words, ~957 tokens.

Download SKILL.mdSave it as .claude/skills/voice-baseline/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
voice-baseline
description
Measure your own writing corpus for the words and sentence shapes you over-use, so an agent writing in your voice stops amplifying your tics into a style. Produces a counted baseline file and checks any new draft against it. Use when an agent's drafts start sounding like a caricature of you, before publishing anything written in your voice, or every ten new pieces to re-measure.

voice-baseline

An agent writing in your voice does not only sample the median of the internet. It samples the median of you, from the pieces and rules and memory files in its context, and it regresses toward your most frequent choices because those are the highest probability tokens in your corpus. A word that was a choice at one use comes back at five. Then the fifth use teaches the next draft, and the tic becomes the style.

Generic ban lists cannot catch this, because the words are yours and they are not on anyone's list. Measure instead.

Run it

bash
python3 scripts/census.py PATH/TO/YOUR/WRITING --out voice-baseline.md
python3 scripts/census.py PATH/TO/YOUR/WRITING --check DRAFT.md

The census walks a directory of your own finished pieces and reports word counts with a per-file rate, sentence-shape counts, sentence openers, and heading first words. --check compares one draft against those rates and prints only what sits above them. Exit code 1 when something is above baseline, so it fits a pre-publish script.

Keep the output file next to your rules so the agent reads it before it writes.

What it measures

Words. A watchlist of praise and emphasis words, counted with word boundaries and reported per file. Read the per-file rate: a word used twice per file is a habit, and the same word at eight in one draft is the draft's problem. Edit WATCH in the script to add your own suspects; the point is that the list ends up specific to you.

Paragraph-ending verdict sentences. "The fix was one line." A concrete noun, a past-tense verb, a short predicate, parked at the end of a paragraph so it lands like a ruling. One per piece at most, and only when it carries a fact the paragraph has not already delivered.

Kicker closers. "That is the point." "That is all a title is for." A closing line that restates the piece as an aphorism. The cap is zero.

Endings. How many pieces close on a question to the reader. Most of them means the question has become a formula.

Sentence openers and heading first words. These are where a personal tic hides best, because each instance reads fine. If a third of your headings begin with the same word, you have a template. In one real 27-file archive the census found 53 headings starting with "The", the exact shape people name as an AI tell, learned from the author's own archive.

Show full SKILL.md (173 more words)Show less

How to read the result

The census counts; it does not judge. For each flagged word or shape, decide whether it is your voice or your mode:

  • Voice. The word carries meaning the sentence needs, or the rhythm is yours and deliberate. Keep it, and note the exception so the next check does not re-raise it.
  • Mode. The word is praise, emphasis, or padding, and removing it changes nothing for the reader. Cut it, or replace it with the behaviour it was gesturing at.

Fix the shapes by cap rather than by ban: one verdict sentence, zero kickers, no default question ending, one narrative heading pattern per piece.

Re-measure

Run the census again after roughly ten new pieces. A tic you fixed should fall. A new one will have appeared, usually the word you reached for while avoiding the last one, which is the same substitution the model makes when a single word is banned.

Pair with slop-gate for the universal tells and no-ai-slop for the structural ones a regular expression cannot see.

© huytieu, 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 (scripts) in skills/voice-baseline of huytieu/COG-second-brain.

  • SKILL.md
  • scripts/census.py

Open the folder on GitHubat commit 36ac9d7

Compare with similar skills

Voice Baseline 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.

Voice Baseline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Voice Baseline this skillhuytieu/COG-second-brain1.3k—~957Automated safety check: PassMIT
Tests Query Corpusnetdata/netdata81k—~5.3kAutomated safety check: PassGPL-3.0
Measure Before You Fixgarrytan/gbrain31k—~2.5kAutomated safety check: PassMIT
Stop Wordsthedaviddias/Front-End-Checklist74k—~521Automated safety check: PassMIT
Word Countthedaviddias/Front-End-Checklist74k—~577Automated safety check: PassMIT
Word to Markdown Convertergithub/awesome-copilot40k—~1.6kAutomated safety check: PassMIT

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Questions about Voice Baseline

What does Voice Baseline do?

Measure your own writing corpus for the words and sentence shapes you over-use, so an agent writing in your voice stops amplifying your tics into a style. Voice Baseline is an agent skill from huytieu/COG-second-brain. Measure your own writing corpus for the words and sentence shapes you over-use, so an agent writing in your voice stops amplifying your tics into a style.

When should I use Voice Baseline?

Voice Baseline fits situations like: an agents drafts start sounding like a caricature of you; before publishing anything written in your voice; every ten new pieces to re-measure.

How do I install Voice Baseline in Claude Code?

Run `npx skills add huytieu/COG-second-brain --skill voice-baseline -a claude-code`. Or copy the skill folder (skills/voice-baseline in huytieu/COG-second-brain) into .claude/skills/voice-baseline in your project. Claude Code loads it when a task matches its description.

How do I install Voice Baseline in Codex?

Run `npx skills add huytieu/COG-second-brain --skill voice-baseline -a codex`. Or copy the skill folder (skills/voice-baseline in huytieu/COG-second-brain) into .agents/skills/voice-baseline in your project. Codex loads it when a task matches its description.

Can I use Voice Baseline 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 huytieu/COG-second-brain --skill voice-baseline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/voice-baseline, .gemini/skills/voice-baseline, .github/skills/voice-baseline and .opencode/skills/voice-baseline in your project.

What does Voice Baseline need to run?

Going by SKILL.md and its folder, Voice Baseline needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Voice Baseline 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 Voice Baseline 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Voice Baseline use?

Voice Baseline 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 Voice Baseline use?

About 957 tokens (SKILL.md is roughly 3.8k 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 Voice Baseline?

Skills that share tags, products or a category with Voice Baseline: Tests Query Corpus (netdata/netdata, 81k stars), Measure Before You Fix (garrytan/gbrain, 31k stars), Stop Words (thedaviddias/Front-End-Checklist, 74k stars) and Word Count (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Voice Baseline?

huytieu (a GitHub user) maintains it in huytieu/COG-second-brain, which has 1,268 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 2, 2026.

Source: huytieu/COG-second-brain on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.