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 skills add sandbaseai/sandbase-skills --skill reconciliationgit clone --depth 1 https://github.com/sandbaseai/sandbase-skillsWrote 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/sandbaseai/sandbase-skills/reconciliation)<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/reconciliation"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/reconciliation/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/skills/sandbaseai/sandbase-skills/reconciliation"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/reconciliation.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 | $0.00054 | $0.01760 |
| Opus 5 | $0.00027 | $0.00880 |
| Sonnet 5 | $0.00011 | $0.00352 |
| Haiku 4.5 | $0.00005 | $0.00176 |
Grade A, and why
reconciliation 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 5d 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.
This is a copy
91% identical to reconciliation — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reconciliation
Important: This skill assists with reconciliation workflows but does not provide financial advice. All reconciliations should be reviewed by qualified financial professionals before sign-off. Work from copies or derived artifacts; do not edit source accounting records or post adjustments without a separately authorized workflow.
Methodology and best practices for account reconciliation, including GL-to-subledger, bank reconciliations, and intercompany. Covers reconciling item categorization, aging analysis, and escalation.
When inputs are supplied through report URLs, read the SandBase API map. Resolve the current schema with sandbase_describe_tool before using a listed capability through sandbase_call_tool.
Reconciliation Types
GL to Subledger Reconciliation
Compare the general ledger control account balance to the detailed subledger balance.
Common accounts:
- Accounts receivable (GL control vs AR subledger aging)
- Accounts payable (GL control vs AP subledger aging)
- Fixed assets (GL control vs fixed asset register)
- Inventory (GL control vs inventory valuation report)
- Prepaid expenses (GL control vs prepaid amortization schedule)
- Accrued liabilities (GL control vs accrual detail schedules)
Process:
- Pull GL balance for the control account as of period end
- Pull subledger trial balance or detail report as of the same date
- Compare totals — they should match if posting is real-time
- Investigate any differences (timing of posting, manual entries not reflected, interface errors)
Common causes of differences:
- Manual journal entries posted to the control account but not reflected in the subledger
- Subledger transactions not yet interfaced to the GL
- Timing differences in batch posting
- Reclassification entries in the GL without subledger adjustment
- System interface errors or failed postings
Bank Reconciliation
Compare the GL cash balance to the bank statement balance.
What ships with it
1 file 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.
- 5d ago First seen · 177 lines · 54 tokens per session scan A 722dea5e8cc4
reconciliation is a skill published in the GitHub repository sandbaseai/sandbase-skills (140 stars, last pushed yesterday), licensed Apache-2.0. It adds 54 tokens to every session and 1,760 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to reconciliation, differing in 5 lines, and is treated as a copy.
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