Triggered by "monthly recap", "how did I do this month", "spending summary", "financial review", "weekly recap", "quarterly review", "year in review".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Financial Recap
Generate a narrative financial review for any time period.
## Workflow
1. **Determine the period.** Parse `$ARGUMENTS` for the time span:
- "this week", "last week" → weekly
- "this month", "january", "jan 2025", "2025-01" → monthly (default if no argument)
- "this quarter", "Q1", "Q1 2025" → quarterly
- "this year", "2025", "year in review" → yearly
- Any explicit date range works too
2. **Fetch summary data.** Call the `query` MCP tool with `compare: "prior_period"`:
```json
{ "period": "<detected_period>", "compare": "prior_period", "include": ["ratios", "anomalies", "accounts"] }
```
(Use `start`/`end` if a specific date range was requested.)
3. **Fetch year-ago comparison.** For anything other than year-over-year, also fetch the same period from a year ago to account for seasonality:
```json
{ "start": "<same_period_last_year_start>", "end": "<same_period_last_year_end>", "include": ["ratios"] }
```
For example, if reviewing February 2026, also fetch February 2025.
4. **Fetch recurring bills.** Call the `query` MCP tool:
```json
{ "recurring": true }
```
5. **Synthesize a narrative recap** covering:
…
The line at the top of this page pins the label git:20260307.b117db3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_t3ateadxlqkfhpum
GET https://markdownregistry.com/api/v1/resolve?ref=davepoon/buildwithclaude/recap
GET https://markdownregistry.com/api/v1/blob/3e947735a3cc8d323ca2a5520784ecbea6aa973aaccf4f5f5f127647766b2494
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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