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 appeeky/stripe-skills --skill financial-reconciliationgit clone --depth 1 https://github.com/appeeky/stripe-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/appeeky/stripe-skills/financial-reconciliation)<a href="https://agentmods.dev/skills/appeeky/stripe-skills/financial-reconciliation"><img src="https://agentmods.dev/badge/skills/appeeky/stripe-skills/financial-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/appeeky/stripe-skills/financial-reconciliation"><img src="https://agentmods.dev/badge/skills/appeeky/stripe-skills/financial-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 | $0.00069 | $0.00351 |
| Opus 5 | $0.00034 | $0.00176 |
| Sonnet 5 | $0.00014 | $0.00070 |
| Haiku 4.5 | $0.00007 | $0.00035 |
Grade A, and why
financial-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 12d 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 Reconciliation
Stripe MCP Setup
Requires Stripe MCP (https://docs.stripe.com/mcp). GetMcpTools before CallMcpTool. Paginate all lists (limit: 100, starting_after while has_more). Amounts in cents. Read-only for audits; confirm before writes.
Workflow
GetPayouts-- target payout(s) with amount + arrival dateGetBalanceTransactionsfiltered bypayout-- the transactions that composed it- Break down: gross charges - Stripe fees - refunds - adjustments = net payout
Fee Analysis
Sum fee across balance transactions; compute effective % of gross.
Output Template
Payout Reconciliation -- [payout_id]
Arrival: [date] | Net paid: $[X]
Composition:
| Type | Count | Gross | Fees | Net |
|------|-------|-------|------|-----|
| Charges | | | | |
| Refunds | | | | |
| Adjustments | | | | |
Effective Stripe fee: [X]% of gross
Bank match: [reconciled / discrepancy $Y]
Flag discrepancies between payout net and expected bank deposit.
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.
- 12d ago First seen · 43 lines · 69 tokens per session scan A 997df73c1436
financial-reconciliation is a skill published in the GitHub repository appeeky/stripe-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 351 once invoked, about $0.0003 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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