bens-voice skillA
bens-voice is agent-read markdown (skill) from naveedharri/benai-skills: Draft or judge content in Ben van Sprundel's voice. Use EVERY TIME output is written as Ben or scored against his tone - Circle community replies, LinkedIn posts, newsletters, Slack messages, YouTube scripts, DMs, emails. Triggers include "reply as Ben", "draft in Ben's voice", "Ben voice engine", "judge this draft", "does this sound like Ben". Includes a deterministic red-flag linter plus an LLM rubric judge; every draft must pass before it ships..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# bens-voice: the Ben Voice Engine Two jobs: **draft** content as Ben, and **judge** any draft against his voice. Never ship a draft that has not been through the judge loop below. Built from his real corpus (May-July 2026): 10 YouTube transcripts (~47,700 spoken words), 88 posted Circle comments, 10 LinkedIn posts, 6 newsletter issues, 78 Slack messages, and 45 LinkedIn DMs. The references are the measured result; trust them over instinct. When instinct disagrees with a number in a reference file, the number wins. ## Workflow 1. **Classify the content type**: `circle-reply` | `linkedin-post` | `newsletter` | `slack` | `dm` | `email` | `youtube-script` | `generic`. 2. **Read the references for that type** (table below). Non-negotiable. 3. **Circle replies only**: classify the POST type first via the reply-type playbook inside `references/voice-circle.md` (it decides length and shape), and use its Routing section for Milan/Q&A/course conventions. 4. **Draft.** 5. **Lint** (Layer 1, deterministic). Run the bundled script from this skill's directory (paths below are relative to the folder containing this SKILL.md): ```bash python3 scripts/voice_lint.py --type <type> <<'EOF' …
Read the whole file at its exact version.
How to install
mdr add naveedharri/benai-skills/bens-voice@git:20260916.a3b1e15mdr add naveedharri/benai-skills/bens-voice@sha256:e9f619af53188ff2Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_hmclv6eazdbq2m2l)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260916.a3b1e15 latest | 2026-09-16 | a3b1e15 | 8,052 B | A | view · diff |
| git:20260720.898cddf | 2026-07-20 | 898cddf | 8,021 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8052 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
naveedharri/benai-skills · 65 stars · license MIT · pushed 2026-09-16 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_hmclv6eazdbq2m2l GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/bens-voice GET https://markdownregistry.com/api/v1/blob/e9f619af53188ff288d1882b7dd98463235905cb7519c167456834287d124d70
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.