debug-live-issue
Debug production-like issues in this repository with disciplined evidence gathering. Use when fixing failing workflows,…
Run a daily spend check-in against a daily budget on the Agent Monitor dashboard — today's spend vs the daily target, pace through the day, and the projected overage if the current pace holds. Uses /api/pricing/cost and /api/sessions (grouped by started_at = today). Use for a
Claude Code
$ npx -y skills add hoangsonww/Claude-Code-Agent-Monitor --skill daily-budget-check --agent claude-code
Codex
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill daily-budget-check -a codex -y
Cursor
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill daily-budget-check -a cursor -y
Gemini CLI
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill daily-budget-check -a gemini-cli -y
GitHub Copilot
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill daily-budget-check -a github-copilot -y
OpenCode
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill daily-budget-check -a opencode -y
Windsurf
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill daily-budget-check -a windsurf -y
name: daily-budget-check description: > Run a daily spend check-in against a daily budget on the Agent Monitor dashboard — today's spend vs the daily target, pace through the day, and the projected overage if the current pace holds. Uses /api/pricing/cost and /api/sessions (grouped by started_at = today). Use for a quick daily spend check-in or a morning/evening budget pulse.
A fast daily pulse: are you on pace against today's budget?
The user provides: **$ARGUMENTS**
This is the **daily budget in dollars** — e.g. `"5"` or `"$5/day"`. If omitted, ask for one or derive it from a monthly budget (`monthly / days_in_month`) and state the assumption.
| Endpoint | Returns | |----------|---------| | `GET /api/pricing/cost` | `{ total_cost, breakdown: [{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] }` — fleet-wide spend and the avg cost-per-session used to value today's sessions | | `GET /api/sessions?limit=200` | Session list with inline `cost` and `started_at` — filter to today (`DATE(started_at) = today`) to isolate today's spend |
Spend has no per-day field, so isolate **today** from the session list:
1. **Today's sessions** = sessions whose `started_at` is today (local date). 2. **Today's spend** = sum of inline `cost` over today's sessions. If inline `cost` is absent for some rows, fall back to `today_session_count × (total_cost / total_session_count)` and flag it as approximate. 3. **Pace**: `fraction_of_day_elapsed = hours_since_midnight / 24`. `expected_by_now = daily_budget × fraction_of_day_elapsed`. 4. **Pace delta** = `today_spend − expected_by_now` (▲ ahead of budget / ▼ behind). 5. **End-of-day projection**: `projected_today = today_spend / fraction_of_day_elapsed` (linear extrapolation of the current pace). Guard against tiny `fraction_of_day_elapsed` early in the day — if under ~0.1, label the projection low-confidence. 6. **Projected overage** = `projected_today − daily_budget` (positive = over).
One headline line: **today's spend / daily budget**, and the percent consumed. Verdict: **under** / **on pace** / **over**.
`expected_by_now` vs actual `today_spend`, the ▲/▼ pace delta, and the fraction of the day elapsed.
`projected_today` and the projected overage/headroom vs the daily budget. Note the confidence (low early in the day).
Today's sessions ranked by `cost` (top 5): name/id, model, cost. Surface any premium-model session inflating the day.
If projected over: one concrete cut (route the priciest session type cheaper — see `model-savings`; or arm a `token_threshold` rule via `budget-set`). If under: confirm headroom and the remaining daily allowance.
Compact Markdown — this is a daily check-in, keep it tight. Currency as USD to 4 decimal places; pace deltas with ▲/▼. Lead with the verdict line.
🚀 A real-time monitoring dashboard for Claude Code & Codex, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, & WebSockets. It tracks sessions, agent activity, tool usage, and subagent orchestration, providing live analytics, a Kanban status board, status notifications, a cute buddy, & an interactive web UI/MacOS/Windows native app.
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