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.
git clone --depth 1 https://github.com/alex-alecu/garden-deskWrote 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/agents/alex-alecu/garden-desk/financial-record-extraction)<a href="https://agentmods.dev/agents/alex-alecu/garden-desk/financial-record-extraction"><img src="https://agentmods.dev/badge/agents/alex-alecu/garden-desk/financial-record-extraction/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/alex-alecu/garden-desk/financial-record-extraction"><img src="https://agentmods.dev/badge/agents/alex-alecu/garden-desk/financial-record-extraction.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00032 | $0.00216 |
| Opus 5.5 | $0.00013 | $0.00086 |
| Sonnet 5.5 | $0.00006 | $0.00043 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
financial-record-extraction 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 1mo 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.
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
Financial Record Extraction
- Identify the requested records, fields, and source files.
- Inspect the actual tables and document structure, then extract each relevant record. Keep its entity, identifier, dates, currency, units, signs, precision, and source location.
- Preserve date text and identifiers as supplied. Mark missing fields as not stated. Keep conflicting source values separate. Do not invent values, convert currencies, or reconcile records unless the user requests that work.
- Return the requested structured table with a source reference for each record, coverage, and reading limits. Check extracted values against their source locations. Use the requested output format when this command creates a final file.
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.
- 1mo ago Changed c1f53797d68c
- 1mo ago Changed · +1 lines · +8 tokens per session 47f5f9caae61
- 1mo ago First seen · 16 lines · 24 tokens per session scan A d0fae2d42a72
financial-record-extraction is an agent published in the GitHub repository alex-alecu/garden-desk (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 216 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-16.
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