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
npx claude-code-templates@latest --command doordash/doordash-report Scanned by NVIDIA SkillSpector
Automated static analysis (no LLM) · v2.12.0 · 2026-10-17
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- Agent Config Directory AccessAgent Snooping · doordash-report.md:18
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Content
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
- Run
dd-cli order historyand 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".
- Match
checkout_urlaudit 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
- Update
~/.claude/dd-guard/last-reconciledwith today's date. If doordash-spend-guard's ledger exists, flip matched intents topaid/abandonedexactly as/doordash-budget reconcilewould.
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.
monthargument 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.