voice-profile

voice-profile is a command for Claude Code from zircote/human-voice. It costs 11 tokens per session (1,282 once invoked), scanned A, original, MIT.

A command that displays a completed writing-style profile, including its scored traits and newly generated example prose.

In plain words
What is it for?
Use it to inspect a finished voice-profile session and see how the profile shapes sample writing.
Why use it?
It gives you a readable summary of the writing rules being used without exposing the original interview responses.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the human-voice plugin — 2 skills, 12 commands, 3 agents, 1 hook shipped together

Install

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.

agentmods
npx agentmods add commands/zircote/human-voice/voice-profile
Clone the repo
git clone --depth 1 https://github.com/zircote/human-voice

Made for: Claude Code.

Or install human-voice, the plugin that ships this one along with the rest of its 2 skills, 12 commands, 3 agents, 1 hook.

Wrote 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.

agentmods badge for voice-profile

README.md
[![agentmods](https://agentmods.dev/badge/commands/zircote/human-voice/voice-profile.svg)](https://agentmods.dev/commands/zircote/human-voice/voice-profile)
Your own site
<a href="https://agentmods.dev/commands/zircote/human-voice/voice-profile"><img src="https://agentmods.dev/badge/commands/zircote/human-voice/voice-profile.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,282 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00011 $0.01282
Opus 5 $0.00005 $0.00641
Sonnet 5 $0.00002 $0.00256
Haiku 4.5 $0.00001 $0.00128

Measured 5d ago against content hash 76b2add031fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

voice-profile 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 5d 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.

commands/voice-profile.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/voice-profile — View a Completed Voice Profile

Display the full voice profile with dimension scores, calibration, distinctive features, and the user's own writing samples as example prose.

Procedure

  1. Identify session: If a session ID argument is provided, use it. Otherwise, find the most recent session with state of complete via bin/voice-session list.

  2. Validate: Load state.json via bin/voice-session load {session_id}. If state is not complete, inform the user and suggest /voice-resume.

  3. Read profile: Load {session_dir}/profile.json.

  4. Display formatted profile:

    Do NOT load or display interview writing samples. Interview responses are internal data for the scoring and NLP pipelines. The Example Prose section is always generated fresh from the profile configuration to demonstrate what the plugin produces under this profile's rules.

    ═══════════════════════════════════════════════════
    VOICE PROFILE
    Session:  a1b2c3d4-...
    Writer:   business_professional
    ═══════════════════════════════════════════════════
    
    Identity: A direct, analytical voice that favors
    precision over warmth. Writes in structured,
    medium-length sentences with minimal hedging.
    
    ── Gold Standard Dimensions ─────────────────────
    Dimension            Self  Observed  Composite
    ─────────────────────────────────────────────────
    Formality              65       58        62
    Emotional Tone         35       41        38
    Personality            75       67        71
    Complexity             50       60        55
    Audience Awareness     80       76        78
    Authority              74       70        72
    Narrativity            40       48        44
    Humor                  35       25        30
    
    ── Semantic Differential ────────────────────────
    Formal ●●●●○○○ Casual          (4.2)
    Assertive ●●●●●○○ Tentative    (5.4)
    Direct ●●●●●●○ Diplomatic      (5.8)
    Structured ●●●●●●○ Flowing     (5.6)
    Concrete ●●●●●○○ Abstract      (5.1)
    
    ── Calibration ─────────────────────────────────
    Overall self-awareness: 0.76
    High awareness: formality, audience_awareness
    Blind spots: complexity, humor
    Aspirational gaps:
      humor: current 30 → desired 50 (Δ20)
    
    ── Distinctive Features ─────────────────────────
    - High use of em-dashes for parenthetical asides
    - Low hedging frequency (boost-to-hedge ratio: 2.3)
    - Active voice dominance (87% of clauses)
    - Topic-first paragraph structure
    - Preference for Germanic over Latinate vocabulary
    
    ── Voice Stability ─────────────────────────────
    Stable across contexts:
      formality baseline, sentence length range,
      punctuation habits
    Adapts by context:
      emotional tone, humor level,
      vocabulary sophistication
    
    ── Example Prose ────────────────────────────────
    
    SPONTANEOUS (email declining invitation):
    
      Thanks for thinking of me, but I'm going to
      have to pass on Saturday. I've got a deadline
      Monday that's going to eat the whole weekend.
      Let's find another time — maybe the following
      week works better for both of us.
    
    REFLECTIVE (place description):
    
      The library in my college town had this
      particular corner on the second floor where
      the afternoon sun would hit the oak table just
      right. It smelled like old paper and floor wax.
      I spent four years at that table, and most of
      what I know about thinking carefully I learned
      there.
    
    PROFESSIONAL (decision explanation):
    
      We decided to sunset the legacy API because
      maintaining two parallel interfaces was costing
      us roughly 30% of the backend team's time. The
      new API covers all the same use cases with
      better documentation and faster response times.
    
    ═══════════════════════════════════════════════════
    

Read the full file on GitHub · 120 lines

Changes

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.

  1. 5d ago First seen · 120 lines · 11 tokens per session scan A 76b2add031fa

Subscribe to this mod's changes

voice-profile is a command published in the GitHub repository zircote/human-voice (10 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 1,282 once invoked, about $0.0001 per session on Opus 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 2026-08-31.