Claudon — Data skill for Claude Code
Local Claude Code analytics dashboard – see time, cost, bottlenecks & thinking.
How to install Claudon
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open infenia/claudon and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Claudon does
Local Claude Code analytics dashboard – see time, cost, bottlenecks & thinking. 100% private, MIT, one command.
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README
Claudon
**See where your Claude Code time and money actually go.**
One command turns your session logs into an interactive HTML dashboard.
100% local · zero dependencies · nothing leaves your machine.
[](https://github.com/infenia/claudon/actions/workflows/ci.yml) [](https://pypi.org/project/claudon/) [](https://www.npmjs.com/package/@infenia/claudon) [](https://pypi.org/project/claudon/) [](LICENSE)
uvx claudon --open
Redacted sample. Your own sessions stay on your machine.
[Quick start](#quick-start) · [In the browser](#in-the-browser-no-install) · [Usage](#usage) · [Privacy](#privacy) · [Contributing](#contributing)
Why Claudon?
Claude Code is fast until it isn't. Which turn burned ten minutes? Was it the model, a slow tool, or you being away? Did a failing tool call loop? What did the session really cost?
The answers are already in `~/.claude`. Claudon reads them and shows you:
| Where time went | model vs. tools vs. permission waits vs. idle, per task, turn and subagent |
| What it cost | token usage × list prices per model generation (override with --pricing) |
| What went wrong | automatic detection of tool failures, slow turns and retry loops |
| How hard it thought | thinking time vs. thinking tokens |
| Safe to share | --redact strips prompts, paths, commands an |
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