wispr-analytics

wispr-analytics is a plugin for Claude Code from glebis/claude-skills. Its manifest loads nothing; the 1 skill it bundles cost 127 tokens per session together, scanned A, original, MIT.

A tool for analysing personal voice-dictation history from Wispr Flow to identify work patterns and support self-reflection.

In plain words
What is it for?
The supplied description only indicates analysis of Wispr Flow history, work patterns, and mental habits.
Why use it?
It helps make sense of dictation data that is otherwise difficult to review over time.

Plugin for Claude Code

Written for Claude Code: a Claude Code plugin manifest.

Good fit The supplied description only indicates analysis of Wispr Flow history, work patterns, and mental habits.

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Install in Claude Code
/plugin marketplace add glebis/claude-skills/plugin install wispr-analytics
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.

Clone the repo
git clone --depth 1 https://github.com/glebis/claude-skills

Made for: Claude Code.

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 wispr-analytics

README.md
[![agentmods](https://agentmods.dev/badge/plugins/glebis/claude-skills/wispr-analytics.svg)](https://agentmods.dev/plugins/glebis/claude-skills/wispr-analytics)
Your own site
<a href="https://agentmods.dev/plugins/glebis/claude-skills/wispr-analytics"><img src="https://agentmods.dev/badge/plugins/glebis/claude-skills/wispr-analytics.svg" alt="Measured on agentmods" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured The manifest loads nothing itself; its 1 skill cost 127 tokens a session between them.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

wispr-analytics 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 3d 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.

wispr-analytics/.claude-plugin/plugin.json · 9 lines

What it actually says

{
  "name": "wispr-analytics",
  "description": "This skill should be used when analyzing Wispr Flow voice dictation history for self-reflection, work patterns, mental h",
  "author": {
    "name": "Gleb Kalinin"
  },
  "repository": "https://github.com/glebis/claude-skills",
  "license": "MIT"
}
Contents

What it installs

The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 127 tokens a session between them. Each is measured on its own page, and each can be installed alone.

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. 3d ago First seen · 9 lines scan A 5a7b02ed175c

Subscribe to this mod's changes

wispr-analytics is a plugin published in the GitHub repository glebis/claude-skills (372 stars, last pushed 5d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-03.