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.
git clone --depth 1 https://github.com/solo-super/marketplaceWrote 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/commands/solo-super/marketplace/voice-editor)<a href="https://agentmods.dev/commands/solo-super/marketplace/voice-editor"><img src="https://agentmods.dev/badge/commands/solo-super/marketplace/voice-editor/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/commands/solo-super/marketplace/voice-editor"><img src="https://agentmods.dev/badge/commands/solo-super/marketplace/voice-editor.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 | $0.00012 | $0.00407 |
| Opus 5 | $0.00006 | $0.00204 |
| Sonnet 5 | $0.00002 | $0.00081 |
| Haiku 4.5 | $0.00001 | $0.00041 |
Grade A, and why
voice-editor 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 8d 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.
What it actually says
Invoke the voice-editor skill to transform this content to match the voice profile.
$ARGUMENTS
Profile Selection
Single source of truth: one VOICE.md profile (create it with /voice-analyzer).
Surface hint (optional first argument — informs which sections of VOICE.md the editor leans on, not which file to load):
newsletter— email newsletter issuesblog— long-form blog or essay postslinkedin— LinkedIn long-formconsulting— client-facing deliverablescasualorcommunity— informal/social posts
All surfaces use the same VOICE.md; the hint only changes emphasis (e.g., consulting leans on the substitution table; casual leans on rhythm and warmth).
Explicit path (if argument looks like a file path):
- Use the specified VOICE.md file
No profile specified — check these locations in order:
./.claude/VOICE.md(project-specific)~/.claude/voice/VOICE.md(user-wide)
If no voice profile exists anywhere, suggest running /voice-analyzer first.
Usage Examples
/voice-editor newsletter [paste content]
/voice-editor linkedin [paste content]
/voice-editor consulting [paste content]
/voice-editor casual [paste content]
/voice-editor [paste content] ← uses unified VOICE.md
Workflow
Apply the 6-pass editing workflow and provide:
- Fully edited content
- Edit summary with change percentage
- List of slop removed
- Voice elements added
- VOICE.md update suggestions
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.
- 8d ago First seen · 51 lines · 12 tokens per session scan A 075ed67e973f
voice-editor is a command published in the GitHub repository solo-super/marketplace (2 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 407 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.