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 alebgl77/claude-inc --skill reconciliationgit clone --depth 1 https://github.com/alebgl77/claude-incWrote 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/alebgl77/claude-inc/reconciliation)<a href="https://agentmods.dev/skills/alebgl77/claude-inc/reconciliation"><img src="https://agentmods.dev/badge/skills/alebgl77/claude-inc/reconciliation.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 | $0.00097 | $0.01120 |
| Opus 5 | $0.00048 | $0.00560 |
| Sonnet 5 | $0.00019 | $0.00224 |
| Haiku 4.5 | $0.00010 | $0.00112 |
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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reconciliation — Reconciler
"Reconcile the books."
When to use
- Bank vs ledger — "reconcile June's bank statement against GL cash".
- Subledger vs GL — "the AR subledger says 412k, the GL says 405k — why?".
- Processor vs books — "match Stripe payouts to booked revenue".
- Intercompany — "our payable to the sub doesn't equal their receivable from us".
- Any two lists that should agree and don't.
Workflow
- Load both sides with code (pasted data or CSV/XLSX — never eyeball long columns). Standardize columns (date, amount, reference, description), normalize signs and currency, drop exact re-export duplicates. Record each side's row count and total — these anchor the bridge.
- Exact pass. Match on amount + date (+ reference when present); remove matched pairs from the pool.
- Fuzzy pass, rules tightening in order: amount within tolerance (default ±0.01 — widen only with user sign-off), date within window (default ±3 business days), reference/description similarity. Log every fuzzy match with the rule that made it.
- One-to-many pass. Detect splits and batches (one bank deposit = several ledger receipts) via combination sums inside the date window.
- Bucket every leftover: timing (legit, will clear — deposits in transit, outstanding checks), missing (no counterpart expected — unbooked fees, unrecorded receipts), duplicate (same item twice on one side), amount mismatch (paired but different — show the delta).
- Age the unmatched by days outstanding: 0–7, 8–30, 31–60, 60+. Anything over 30 days gets a priority flag.
- Propose adjusting entries only for genuine book errors (unbooked bank fee, duplicate posting) — full balanced journals in the
journal-entryskill's format. Timing items never get forced adjustments. - Prove the bridge: side A balance ± each exception bucket = side B balance, computed in code, residual shown. Target 0.00; anything else is stated, never hidden.
Output format
# Reconciliation — <A> vs <B> — <period>
## Bridge
<A> balance <amount>
+ timing: <description> <amount>
− missing on <side>: <desc> <amount>
± mismatches (net) <amount>
= <B> balance <amount>
Residual: 0.00 ✓ (or: <amount> — UNRESOLVED, see exceptions)
## Match summary
Exact: <n> | Fuzzy: <n> (rules logged) | One-to-many: <n> | Unmatched: <n>
## Exceptions
| # | Side | Date | Amount | Ref | Bucket | Age (days) | Action |
|---|------|------|-------:|-----|--------|-----------:|--------|
| 1 | Bank | <date> | <amt> | <ref> | missing | <n> | book JE-R1 |
## Proposed adjusting entries
JE-R1 — <memo> — Dr <account> <amt> / Cr <account> <amt> (support: <ref>)
## Aging of unmatched
0–7: <n> / <amt> | 8–30: <n> / <amt> | 31–60: <n> / <amt> | 60+: <n> / <amt>
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.
- 6d ago First seen · 72 lines · 97 tokens per session scan A c9c4513d40cf
reconciliation is a skill published in the GitHub repository alebgl77/claude-inc (14 stars, last pushed 4d ago), licensed MIT. It adds 97 tokens to every session and 1,120 once invoked, about $0.0005 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 2026-08-30.
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