session-stats

name

session-stats

description

Use this skill when the user asks to "render session stats as HTML", "make an HTML stats card of my session", "session stats html", "export session metrics to a dark HTML page", "session stats dashboard", or invokes the /session-stats command. Produces a single self-contained, dark-theme HTML page of a Claude Code session's quantitative stats: KPI cards (duration, prompts, tool calls, files written/edited, output tokens, est. cost), a per-tool usage table with share bars, and a token-bucket table (input, output, cache created, cache read). Stats only - no prompts, observations, tone analysis, or recommendations. Offline two-stage pipeline parses the .jsonl transcript and computes cost from token usage times per-model pricing; the output document has no script tags and no external assets.

session-stats

Purpose

Render the quantitative metrics of a Claude Code session as one self-contained, dark-theme HTML page. The output is stats only: KPI cards for headline numbers (duration, prompts, tool calls, files written/edited, output tokens, est. cost), a per-tool usage table with share bars, and a token-bucket table (input, output, cache created, cache read). No prompts, observations, tone analysis, or recommendations.

Two bundled scripts form an offline pipeline with no third-party Python packages (standard library only; requires Python 3). scan_jsonl.py parses a session .jsonl transcript and computes every metric, including a cost estimate derived from each assistant message's token usage times per-model pricing. build_stats_html.py injects the result into a fixed dark template and writes a standalone document.

When to Use

Use this skill to produce a shareable visual of session numbers - duration, prompts, tool calls, files written/edited, output tokens, est. cost, per-tool usage breakdown, and token buckets - styled in the dark template, written to a standalone .html file that opens in any browser with no external assets, scripts, or fonts.

Do not use this skill for full session summaries, narrative retros, or recommendations - this skill emits stats only.

Process

1. Get the scan JSON. scripts/scan_jsonl.py parses a Claude Code .jsonl transcript and emits the metrics JSON, computing cost from token usage times per-model pricing (the transcript stores token counts, not dollars, so cost is always computed here). Find the current session file, then scan it:

   # Locate the current session transcript (POSIX: macOS / Linux / WSL / Git Bash)
   ls -t "$HOME/.claude/projects/<project-slug>"/*.jsonl | head -1
   # Scan it
   python "${CLAUDE_PLUGIN_ROOT}/scripts/scan_jsonl.py" --in <session.jsonl> > /tmp/scan.json
   

   On Windows/PowerShell, resolve the newest transcript natively:

   Get-ChildItem "$env:USERPROFILE\.claude\projects\<project-slug>\*.jsonl" |
     Sort-Object LastWriteTime -Descending | Select-Object -First 1
   

   Or just use the Glob tool (**/.claude/projects/<project-slug>/*.jsonl, newest first) to stay shell-agnostic. Invoke the scripts with python (the usual command on Windows); if that is not found, try py -3 - note python3 is often absent on Windows.

   Pricing follows the current Claude API catalog via a per-model table (Opus, Sonnet, Haiku, Fable), defaulting to Opus 4.8 = $5/$25 per MTok in/out, cache write $6.25, cache read $0.50. A model with no table entry renders cost as N/A rather than $0. Override rates without editing the script via env vars (per MTok): IN_RATE, OUT_RATE, CW_RATE, CR_RATE. promptCount excludes slash-command and system turns.

2. Render the HTML. Run the builder, or pipe the two stages directly:

   python "${CLAUDE_PLUGIN_ROOT}/scripts/build_stats_html.py" --in /tmp/scan.json --out session-stats.html
   

   python "${CLAUDE_PLUGIN_ROOT}/scripts/scan_jsonl.py" --in <session.jsonl> \
     | python  --out session-stats.html
   

Bundled files

• scripts/scan_jsonl.py - Parses a Claude Code .jsonl transcript into the metrics JSON, computing cost from token usage times per-model pricing. Pure stdlib, no third-party packages. Supports IN_RATE/OUT_RATE/CW_RATE/CR_RATE env overrides. Cost groups assistant messages by model and sums input/output/cache-write/cache-read tokens times their rates, divided by one million; an unpriced model makes the whole cost render N/A, never $0. Also emits a per-tool call breakdown (toolBreakdown, sorted by count) and summed token buckets (tokens: input/output/cacheCreated/cacheRead) that feed the usage and token tables. The API errors metric is a heuristic (substring match on assistant text), so treat it as approximate.
• scripts/build_stats_html.py - Converts the metrics JSON into the stats HTML. Handles session selection (--session prefix match), duration/cost/int formatting, HTML-escaping, and template injection. --template <path> overrides the bundled assets/template.html. Pure stdlib. Exit codes: 0 ok, 1 no session / bad JSON, 2 template missing.
• assets/template.html - The fixed dark-theme shell, an inline static-CSS port of the design (no Tailwind, no <script>, no external assets). The script replaces the single <!-- CONTENT --> marker with the rendered stats body. To restyle, edit the CSS variables in :root (e.g. --accent, --ember, --ink, --coal); build_content() in build_stats_html.py emits the matching .kpi / table.t / .bar classes, so keep those class names in sync if structural rules change.

Validation

• Output is one complete <!DOCTYPE html> document with no external references and no <script> tags.
• Stats only: no narrative sections, observations, or recommendations.
• Every number traces to the transcript; absent metrics show N/A, never a guess.
• The page is self-contained and opens in any browser with no external assets, scripts, or fonts.