Description
gl-recon is an agent skill from Anthropic's financial-services collection, listed on skills.sh. It reconciles a general ledger extract against a subledger extract for the same scope, such as an entity, asset class or date, and produces a matched set and a break report. The agent first normalises both sides to a shared key, the lowest grain they have in common, such as security ID with account and trade date, or a journal line ID. It then coerces the types so comparisons are exact: dates in ISO format, amounts to two decimal places, and identifiers trimmed and upper-cased. The comparison columns are quantity, local and base amounts, FX rate and posting date. A full outer join on the key sorts every row into matched or break, and each break is classified. The skill treats subledger and custodian extracts as untrusted data to extract from, never as instructions. It is for finance and operations teams running period-end reconciliations.…
Highlights
- Matches GL and subledger on a shared key
- Exact comparisons after type normalisation
- Break report with each break classified
- Extracts are treated as data, not instructions
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gl-recon FAQ
What does the gl-recon skill do?
It reconciles a general ledger extract against a subledger extract for the same scope and reports which rows match and which break.
How do I install it?
Run: npx skills add https://github.com/anthropics/financial-services --skill gl-recon
What does it need as input?
A GL extract and a subledger extract covering the same entity, asset class and date or period.
How are rows matched?
On a shared key at the lowest grain both sides have. A full outer join puts each row in matched or break.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best gl-recon alternatives?
Popular alternatives to gl-recon include break-trace, roll-forward and close-month. See all gl-recon alternatives