Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add TheMattBerman/openclaw-100k-posts-kit --skill voice-labgit clone --depth 1 https://github.com/TheMattBerman/openclaw-100k-posts-kitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/themattberman/openclaw-100k-posts-kit/voice-lab)<a href="https://agentmods.dev/skills/themattberman/openclaw-100k-posts-kit/voice-lab"><img src="https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/voice-lab/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/themattberman/openclaw-100k-posts-kit/voice-lab"><img src="https://agentmods.dev/badge/skills/themattberman/openclaw-100k-posts-kit/voice-lab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.00683 |
| Opus 5.5 | $0.00012 | $0.00273 |
| Sonnet 5.5 | $0.00006 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
voice-lab scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice Lab
Build a voice profile for this repo's content pipeline.
This is not a generic brand exercise. The output should help downstream skills write hooks, angles, and concept bodies that sound like the creator, not like an AI summary.
Output File
Save the final profile to:
~/clawd/workspace/brand/voice-profile.md
If useful observations come up during the process, append them to:
~/clawd/workspace/brand/notes.md
Modes
1. Extract
Use when the user provides 3 or more writing samples.
Goal:
- infer the creator's voice from real material
- capture repeatable patterns, not vague adjectives
2. Build
Use when the user has little or no source material.
Goal:
- ask focused questions
- build a practical house voice for this project
3. Refine
Use when voice-profile.md already exists.
Goal:
- preserve what still works
- tighten weak sections
- add newly observed phrases, constraints, and platform preferences
Workflow
Step 1: Check for an existing profile
If ~/clawd/workspace/brand/voice-profile.md exists:
- summarize what it currently says
- ask whether to refine it or replace it
Step 2: Gather inputs
For Extract mode, collect:
- writing samples
- audience description
- topics they cover often
- topics or tones they want to avoid
For Build mode, ask about:
- audience
- expertise
- tone
- level of directness
- willingness to be contrarian
- proof style
- taboo phrases or styles
Step 3: Produce a practical profile
The profile must be useful to content-dna and the-forge.
Include these sections:
# Voice Profile
## Summary
## Audience
## Tone Sliders
- Direct vs soft
- Tactical vs inspirational
- Contrarian vs consensus
- Polished vs conversational
## Writing Rules
## Vocabulary To Lean Into
## Vocabulary To Avoid
## Signature Moves
## Hook Patterns
## Proof And Specificity Rules
## Platform Notes
- X
- LinkedIn
- Short video
- Newsletter
## No-Go List
## Sample Before/After Rewrites
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 142 lines · 31 tokens per session scan A 98e230158aa2
voice-lab is a skill published in the GitHub repository TheMattBerman/openclaw-100k-posts-kit (19 stars, last pushed 7mo ago), licensed MIT. It adds 31 tokens to every session and 683 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
voice-lab compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| voice-labTheMattBerman/openclaw-100k-posts-kit | Skill | 19 | 7mo ago | MIT | A | 31 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |