Cwd rollup
Skill hoangsonww/Claude-Code-Agent-Monitor/plugins/ccam-sessions/skills/cwd-rollup
π A real-time monitoring dashboard for Claude Code, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, and WebSockets. It tracks sessions, agent activity, tool usage, and subagent orchestration, providing live analytics, a Kanban status board, status notifications, a cute buddy, and an interactive web UI/MacOS/Windows native app.
npx -y skills add hoangsonww/Claude-Code-Agent-Monitor --skill cwd-rollupAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Roll up Claude Code sessions by working directory (project) from Agent Monitor data β session count, total cost, total tokens, and last-active timestamp per cwd β so per-project activity can be compared at a glance. Use when summarizing where effort and spend went across projects.
SKILL.md
2.5 KB, 576 tokens by cl100k_base, as published. Nobody here has run it
CWD Rollup
Aggregate session activity per working directory (project).
Input
The user provides: $ARGUMENTS
- Empty β roll up all working directories.
- A path / project substring β restrict the rollup to matching cwds.
top Nβ keep only the N highest-cost (or highest-count) projects.
Data Sources
| Endpoint | Returns |
|---|---|
GET /api/run/cwds | the distinct working directories that have sessions β the rollup key set |
GET /api/sessions?limit=N | session list: id, status, model, cwd, started_at, ended_at, cost, metadata (usage_extras with token counts) |
GET /api/pricing/cost | fleet cost: total_cost, breakdown[{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] β for the fleet total to compute each cwd's share |
Report Sections
1. Key set
GET /api/run/cwds for the canonical list of working directories. Apply the
$ARGUMENTS filter (substring match) if one was given.
2. Pull sessions
GET /api/sessions?limit=1000. Bucket sessions by cwd.
3. Aggregate per cwd
For each working directory compute:
- sessions β count.
- cost β sum of the inline
costfield across the bucket. - tokens β sum of input / output / cache-read / cache-write from each session's
metadata
usage_extras(sum the four into a total, and keep input + output as the "billable text" subtotal). - last active β the max
started_at(orended_at) in the bucket. - models β the distinct models seen.
4. Share of fleet
GET /api/pricing/cost for total_cost; show each cwd's cost as a percentage of the
fleet total.
5. Ranking
Sort by cost descending by default (or count if the user asked); apply top N.
Output
Markdown table: project (cwd basename) | sessions | total tokens | cost | % of fleet | last active | models.
Currency as USD to 4 decimal places; token counts with thousands separators; sort
cost-descending. Add a final TOTAL row summing the columns. Only count tokens that
the session metadata actually carries β if usage_extras is absent for a session,
note it as excluded rather than guessing. If the dashboard is unreachable, tell the
user to start it with npm start from the repo root.