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:

   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:

   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:

     <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.

5. 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).