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/doordash-report

Spend and activity report for agent-driven DoorDash ordering - reconciles the audit log against real order history and renders totals, per-restaurant breakdown, repeat rate, and abandoned-cart rate

From plugin
claude-code-templates
30k200 skills200 agents200 commands2 MCP
Install
$ npx -y skills add davila7/claude-code-templates --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/doordash-report

Context preview

What this command does when you run it.

Spend and activity report for agent-driven DoorDash ordering - reconciles the audit log against real order history and renders totals, per-restaurant breakdown, repeat rate, and abandoned-cart rate

Command definition

doordash-report.md
allowed-tools: Bash(dd-cli:*), Bash(cat:*), Bash(jq:*), Bash(wc:*), Read, Write, Edit
argument-hint: [week | month]
description: Spend and activity report for agent-driven DoorDash ordering - reconciles the audit log against real order history and renders totals, per-restaurant breakdown, repeat rate, and abandoned-cart rate

DoorDash Activity Report

Report period: **$ARGUMENTS** (default: `week`)

Data sources: `~/.claude/dd-guard/audit.jsonl` (written by the doordash-audit-log hook), `~/.claude/dd-guard/ledger.jsonl` (if doordash-spend-guard is installed), and live `dd-cli order history`.

Current State

  • Audit events: !`wc -l < ~/.claude/dd-guard/audit.jsonl 2>/dev/null || echo "0"`
  • Last reconciled: !`cat ~/.claude/dd-guard/last-reconciled 2>/dev/null || echo "(never)"`

Task

1. Reconcile

1. Run `dd-cli order history` and parse the entries (date, restaurant, total, order_uuid).

  • **Parsing fallback**: the exact output format is version-dependent. If

you cannot parse it confidently, fall back to **intent-only mode**: report from the audit log alone and label the report clearly as "unreconciled — based on agent activity, not confirmed orders". 2. Match `checkout_url` audit events (and ledger intents) against history entries by date proximity and cart/order uuid where visible:

  • matched → confirmed order
  • checkout_url event with no matching order after 24h → abandoned cart

3. Update `~/.claude/dd-guard/last-reconciled` with today's date. If doordash-spend-guard's ledger exists, flip matched intents to `paid` / `abandoned` exactly as `/doordash-budget reconcile` would.

2. Render the report (right-sized — no dashboard theater)

DoorDash activity — week of 2026-07-13
  Confirmed spend:   $87.40   (prev week $52.10, +68%)
  Orders:            4 confirmed, 1 abandoned cart (20% abandon rate)
  By restaurant:     Sweetgreen $34.90 (2x) · Thai Palace $28.50 · ...
  Repeat rate:       75% of orders were reorders/playbooks
  Agent activity:    12 searches, 9 cart mutations, 5 checkout URLs
  • Totals from history are real; totals from intents are pre-fee subtotals —

label which is which.

  • `month` argument widens the window to 30 days and adds a week-by-week

spend line.

3. Answer follow-ups from data

For questions like "what did I order most?" or "how much on ramen this month?", query the audit log with `jq` (the doordash-order-ledger skill documents recipes) — never answer from memory.

Rules

  • Never edit audit.jsonl — it is append-only; only the hook writes it.
  • Keep `cuisine-map.json` (restaurant → cuisine) next to the audit log if

the user wants cuisine grouping; persist their corrections there.

  • Privacy: these files are a local plaintext record of eating habits.

Remind the user once to keep `~/.claude/dd-guard/` out of any repo.

Read more
Ships withclaude-code-templates

Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your development workflow.

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Python
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MIT
License
28m ago
Last commit
1y ago
Created

Repo: davila7/claude-code-templates