session-report
Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.
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Security scan
Scan passedNo risky patterns were found in the scanned files.
Content sha256 e2411d2bf933293a… — run codexguild_scan_skills after installing to verify your local copy.
Static analysis is a first line of defense, not a guarantee. Read the source
SKILL.md
Session Report
Produce a self-contained HTML report of Claude Code usage and save it to the current working directory.
Steps
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Get data. Run the bundled analyzer (default window: last 7 days; honor a different range if the user passed one, e.g.
24h,30d, orall). The scriptanalyze-sessions.mjslives in the same directory as this SKILL.md — use its absolute path:node <skill-dir>/analyze-sessions.mjs --json --since 7d > /tmp/session-report.jsonFor all-time, omit
--since. -
Read
/tmp/session-report.json. Skimoverall,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:
Classes:<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>.take badfor waste/anomalies (red),.take goodfor healthy signals (green),.take infofor neutral facts (blue). The.figis one short number (a %, a count, or a multiplier like12×). The.txtis 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-statusspawned 7 subagents for 8.1% of total — scope it to fewer parallel agents"). - Do not restructure existing sections.
- Replace the contents of
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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_promptsalready includes subagent tokens and rolls task-notification continuations into the originating prompt.- If the JSON is >2MB, trim
top_promptsto 100 entries andcache_breaksto 100 before embedding (they should already be capped).
Files
2- SKILL.md
ef0fbc42593.1 KB - analyze-sessions.mjs
7e660e93b427.6 KB
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