session-report

Solid

Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.

AI & Automation 41 stars 8 forks Updated today MIT

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Quality Score: 84/100

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Skill Content

# Session Report Produce a self-contained HTML report of Claude Code usage and save it to the current working directory. ## Steps 1. **Get data.** Run the bundled analyzer (default window: last 7 days; honor a different range if the user passed one, e.g. `24h`, `30d`, or `all`). The script `analyze-sessions.mjs` lives in the same directory as this SKILL.md — use its absolute path: ```sh node <skill-dir>/analyze-sessions.mjs --json --since 7d > /tmp/session-report.json ``` For all-time, omit `--since`. 2. **Read** `/tmp/session-report.json`. Skim `overall`, `by_project`, `by_subagent_type`, `by_skill`, `cache_breaks`, `top_prompts`. 3. **Copy the template** (also bundled alongside this SKILL.md) to the output path in the current working directory: ```sh cp <skill-dir>/template.html ./session-report-$(date +%Y%m%d-%H%M).html ``` 4. **Edit the output file** (use Edit, not Write — preserve the template's JS/CSS): - Replace the contents of `<script id="report-data" type="application/json">` with the full JSON from step 1. The page's JS renders the hero total, all tables, bars, and drill-downs from this blob automatically. - Fill the `<!-- AGENT: anomalies -->` block with **3–5 one-line findings**. Express figures as a **% of total tokens** wherever possible (total = `overall.input_tokens.total + overall.output_tokens`). One line per finding, exact markup: ```html <div class="take bad"><div class="fig">41.2%</div><div class="txt"><b>cc-mon...

Details

Author
thevibeworks
Repository
thevibeworks/claude-code-docs
Created
1 years ago
Last Updated
today
Language
Jupyter Notebook
License
MIT

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