Borrowing it
Nothing to install: this file belongs to Haqbani/superwisper. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Haqbani/superwisper/master/.claude/skills/superwhisper/SKILL.mdgit clone --depth 1 https://github.com/Haqbani/superwisperWrote 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/haqbani/superwisper/superwhisper)<a href="https://agentmods.dev/skills/haqbani/superwisper/superwhisper"><img src="https://agentmods.dev/badge/skills/haqbani/superwisper/superwhisper/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/haqbani/superwisper/superwhisper"><img src="https://agentmods.dev/badge/skills/haqbani/superwisper/superwhisper.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 | $0.00084 | $0.03320 |
| Opus 5 | $0.00042 | $0.01660 |
| Sonnet 5 | $0.00017 | $0.00664 |
| Haiku 4.5 | $0.00008 | $0.00332 |
Grade A, and why
superwhisper 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 10d 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 — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Superwhisper Custom Command & Mode Builder
This skill helps you create custom commands, modes, and automations for superwhisper, the AI-powered dictation app for macOS.
Quick Start
To create a new custom mode for superwhisper:
- Create a JSON mode file in
~/Documents/superwhisper/modes/ - Configure the mode with AI instructions, context settings, and voice model
- Optionally set up deep links and automations to trigger the mode
Overview of Superwhisper
Superwhisper is an AI-powered dictation tool that converts speech into polished written content. It offers:
- Multiple built-in modes: Voice, Message, Email, Note, Super, Meeting, and Custom
- Context awareness: Application context, selected text, and clipboard content
- Deep link URL schemes:
superwhisper://protocol for automation - Local and cloud models: Voice models (transcription) and language models (AI processing)
- File transcription: Process audio/video files (MP3, MP4, WAV)
- Speaker separation: Multi-speaker identification in meetings
- Custom vocabulary and replacements: Improve recognition accuracy
Instructions
Step 1: Understand the User's Goal
Ask the user what they want to accomplish:
- New custom mode: A mode with specific AI instructions (e.g., "translate my speech to Spanish", "format as markdown", "summarize what I said")
- Automation workflow: Trigger superwhisper actions from scripts or Apple Shortcuts
- Mode configuration: Adjust voice models, language models, context settings, or auto-activation rules
- Vocabulary setup: Add custom words or text replacements
- File transcription workflow: Set up batch processing or specific transcription pipelines
Step 2: Create Custom Modes
Custom modes are the primary way to extend superwhisper. Each mode is a JSON file stored in ~/Documents/superwhisper/modes/.
CRITICAL: After creating the mode JSON file, you MUST add its key to the modeKeys array in ~/Documents/superwhisper/settings/settings.json.
What ships with it
2 files 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.
- 10d ago First seen · 352 lines · 84 tokens per session scan A 5d60b832f48f
superwhisper is a skill published in the GitHub repository Haqbani/superwisper (11 stars, last pushed 6mo ago), licensed MIT. It adds 84 tokens to every session and 3,320 once invoked, about $0.0004 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 2026-08-30.
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