CWD Rollup
SkillMonitoring & opsRoll up Claude Code sessions by working directory (project) from Agent Monitor data — session count, total cost, total tokens, and last-active timestamp per cwd — so per-project activity can be compared at a glance. Use when summarizing where effort and spend went across projects.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the CWD Rollup skill
What this skill tells your AI
The instructions your AI receives, as published by hoangsonww/claude-code-agent-monitor in plugins/ccam-sessions/skills/cwd-rollup/SKILL.md and read by ahel’s review.
Aggregate session activity per working directory (project).
Input
The user provides: $ARGUMENTS
- Empty → roll up all working directories.
- A path / project substring → restrict the rollup to matching cwds.
top N→ 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 — 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 }] — 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 — count.
- cost — sum of the inline
costfield across the bucket. - tokens — 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 — the max
started_at(orended_at) in the bucket. - models — 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 — 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.
Signals
- GitHub stars
- 989
- Forks
- 233
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
cwd-rollup- Source
- github.com/hoangsonww/claude-code-agent-monitor