Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/localplugins/plugins/statement-parsingnpx skills add localplugins/plugins --skill statement-parsinggit clone --depth 1 https://github.com/localplugins/pluginsWhat 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 | $0.00040 | $0.00563 |
| Opus 5 | $0.00020 | $0.00282 |
| Sonnet 5 | $0.00008 | $0.00113 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
statement-parsing scanned grade A with 0 findings 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 yesterday.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Statement Parsing
The toolkit's parse(path, mapping) and parse_report(path, mapping) need a mapping describing the CSV's columns. Read the header row and a few sample rows, build the mapping, and confirm it with the user if anything is ambiguous.
The mapping
{ "date": "<date column>",
"date_format": "<strptime, e.g. %Y-%m-%d or %m/%d/%Y>",
"description": "<description column>",
# amount EITHER as one signed column:
"amount": "<amount column>",
# OR as separate columns (omit "amount" then):
"debit": "<debit column>", "credit": "<credit column>",
"account": "<optional account column>" }
date, date_format, and description are always required. For amounts you need either amount or the debit/credit pair — the toolkit raises if none is present.
Decision guide
- Find the date column and infer
date_formatfrom the samples (2026-01-05→%Y-%m-%d;01/05/2026→%m/%d/%Y). - Find the amount source. One signed column → use
amount. Two columns → mapdebit(outflow) andcredit(inflow); omitamount. - Confirm the sign convention. money-map's convention is inflows positive, outflows negative. If a single amount column has outflows as positive, tell the user and adjust.
- Leave currency symbols/commas/parens alone — the toolkit parses
$1,234.56and(12.30)itself. - If anything is ambiguous, show the detected mapping and confirm before running.
Only CSV is supported in v1 — for XLSX, ask the user to export/save as CSV.
References
references/mapping-examples.md— worked mappings for the common bank/card layouts (signed amount, debit/credit, dd/mm dates, account columns, multi-line headers).references/parsing-edge-cases.md— exactly how the toolkit handles currency symbols, parenthesized negatives, ambiguous debit+credit rows, ragged rows, BOM, and which problems are skipped (surfaced) vs which raise.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 39 lines · 40 tokens per session scan A 7eef60307705
statement-parsing is a skill published in the GitHub repository localplugins/plugins (5 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 563 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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