Session Report

Produce a self-contained HTML report of Claude Code usage and save it to the current working directory.

Steps

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:

node <skill-dir>/analyze-sessions.mjs --json --since 7d > /tmp/session-report.json

For all-time, omit --since .

Read /tmp/session-report.json . Skim overall , by_project , by_subagent_type , by_skill , cache_breaks , top_prompts .

Copy the template (also bundled alongside this SKILL.md) to the output path in the current working directory:

cp <skill-dir>/template.html ./session-report-$(date +%Y%m%d-%H%M).html

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: <div class="take bad"><div class="fig">41.2%</div><div class="txt"><b>cc-monitor</b> consumed 41% of the week across just 3 sessions</div></div>

Classes: .take bad for waste/anomalies (red), .take good for healthy signals (green), .take info for neutral facts (blue). The .fig is one short number (a %, a count, or a multiplier like 12× ). The .txt is one plain-English sentence naming the project/skill/prompt; wrap the subject in <b> . Look for: a project or skill eating a disproportionate share, cache-hit <85%, a single prompt >2% of total, subagent types averaging >1M tokens/call, cache breaks clustering.

• Fill the <!-- AGENT: optimizations --> block (at the bottom of the page) with 1–4 <div class="callout"> suggestions tied to specific rows (e.g. "/weekly-status spawned 7 subagents for 8.1% of total — scope it to fewer parallel agents").

• Do not restructure existing sections.

Report the saved file path to the user. Do not open it or render it.

Notes

• The template is the source of interactivity (sorting, expand/collapse, block-char bars). Your job is data + narrative, not markup.

• Keep commentary terse and specific — reference actual project names, numbers, timestamps from the JSON.

• top_prompts already includes subagent tokens and rolls task-notification continuations into the originating prompt.

• If the JSON is >2MB, trim top_prompts to 100 entries and cache_breaks to 100 before embedding (they should already be capped).