Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ya5huk/findashnpx agentmods add skills/ya5huk/findash/sync-finance-dataWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ya5huk/findash/sync-finance-data)<a href="https://agentmods.dev/skills/ya5huk/findash/sync-finance-data"><img src="https://agentmods.dev/badge/skills/ya5huk/findash/sync-finance-data.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00098 | $0.06275 |
| Opus 5 | $0.00049 | $0.03138 |
| Sonnet 5 | $0.00020 | $0.01255 |
| Haiku 4.5 | $0.00010 | $0.00628 |
Grade B, and why
sync-finance-data scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- PDF (password-protected payslip) → `python3 scripts/unlock_pdf.py unlock <staged-file>` resolves the matching `[pdf-passwords]` entry internally and prints a private temporary path. Read that PDF, then always run `pyth How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sync-finance-data
Run the complete data update into local SQLite: collect every configured source, ingest and reconcile it, refresh cached reference data, and back it up when due. It writes the database only; ./run_dashboard.sh is the separate, user-run way to look at the result.
Use judgment, not pattern-matching. Categorization, deduplication, and reconciliation across sources are your job. Run every foreground command to completion before moving on; a scheduled task cannot receive deferred-task notifications.
External collection is best-effort; local ingest is the reliable core. A bank, IBKR, market, or Drive failure becomes a count-only ⚠️ summary bullet and the run continues. Fail only when migration or local ingestion cannot complete safely.
Where things live
- Drive folder ID: the
[drive]section of.secrets/findash(keyroot_folder_id=…, chmod 600). Folder structure:docs/drive-layout.md. - SQLite schema + conventions:
docs/sqlite-schema.md - Safe query/write gateway:
docs/database-operations.md - How each archetype maps to tables:
docs/doc-types/ - Password for protected payslip PDFs: the
[pdf-passwords]section of.secrets/findash(onepattern=passwordline per file pattern) - Drive access: the official Google Drive connector — a claude.ai connector the user adds in Claude, not a findash MCP server. Its tool names are connector-specific, so discover them by function with ToolSearch (search files · get file metadata · download file content · create file · update file). Every call is scoped to the vault root id, which
python3 scripts/drive_root.pyprints (and nothing else); connector downloads land in staging throughpython3 scripts/staging_files.py save-download. Any failure means "Drive degraded" (warn + continue). The weekly database backup is local (scripts/backup_database.py) and never leaves the machine. - Local DB:
data/finance.db - Staging — the ingest queue:
inbox/staging/fetched/(pairs staged byfetch-bank-data) andinbox/staging/drive/(Drive pulls from step 3, filenames prefixed<driveId>__so identity survives a crashed session)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 261 lines · 98 tokens per session scan B 59921a347c8c
sync-finance-data is a skill published in the GitHub repository ya5huk/findash (19 stars, last pushed 14d ago), licensed MIT. It adds 98 tokens to every session and 6,275 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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