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 Elnora-AI/elnora-merit-aktiva --skill merit-stripegit clone --depth 1 https://github.com/Elnora-AI/elnora-merit-aktivaWrote 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/elnora-ai/elnora-merit-aktiva/merit-stripe)<a href="https://agentmods.dev/skills/elnora-ai/elnora-merit-aktiva/merit-stripe"><img src="https://agentmods.dev/badge/skills/elnora-ai/elnora-merit-aktiva/merit-stripe/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/elnora-ai/elnora-merit-aktiva/merit-stripe"><img src="https://agentmods.dev/badge/skills/elnora-ai/elnora-merit-aktiva/merit-stripe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00201 | $0.02277 |
| Opus 5 | $0.00101 | $0.01138 |
| Sonnet 5 | $0.00040 | $0.00455 |
| Haiku 4.5 | $0.00020 | $0.00228 |
Grade A, and why
merit-stripe 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.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Merit Stripe
How Stripe card payments are set up and recorded in Merit Aktiva. The implementation is
the elnora-merit reconcile command; this skill is the why and the rules so any agent
books it correctly and can spot a wrong entry.
The one thing to get right: Stripe is a clearing account, not your bank. Stripe holds the money, deducts its fee, then pays out the NET in batches. So you cannot book the bank deposit as revenue — it is already net of fees. Revenue is booked GROSS, the fee is a separate expense, and a clearing account in between holds the payout net until the real bank-import row clears it.
The booking model — one summary GL batch per payout
Each Stripe payout is booked as a single balanced sendglbatch. Card sales are aggregated
(no per-buyer customer or invoice — the canonical treatment for high-volume B2C card sales;
genuine company invoices that need an A/R record are booked separately).
Dr Clearing gross all card sales in the payout, VAT-inclusive
Cr Revenue net gross ÷ 1.24 — carries the 24% TaxId + VatAmount
[Cr VAT payable vat] output VAT — IMPLICIT, Merit posts it from the tag
Dr Stripe fees fees processing + platform fees, a separate expense
Cr Clearing fees
Dr Refunds / Cr Clearing only when the payout contains refunds
The clearing account is left holding exactly the payout net, which the real bank-import row clears against (one manual match in the Merit UI).
VAT period — date each batch on the CHARGE month (§11), not the payout arrival
Estonian time of supply (KMS §11) is the earlier of supply or payment — for a card sale the
charge/capture date, not when Stripe pays out. reconcile dates each batch on the charge
month: usually equal to the payout arrival, except a month-end straddle (charges captured
in month N, paid out in N+1), which it dates back to the charge month so the output VAT lands
in the correct KMD period.
A payout whose charges span two or more months cannot be dated to one VAT month. The tool
flags it in preview and run skips it (marked not bookable) rather than mis-dating it —
it does not auto-split (yet). Book it by hand as one GL batch per charge month (DocNo
po_…-MAY / po_…-JUN), splitting gross/net/VAT/fees per charge, not by dividing the
aggregate ÷ 1.24. Per-charge rounding ties to the cent and matches the tool's
single-month batches; the aggregate method is ~1 cent off per batch. The two batches together
net to the payout and are cleared by the single bank row.
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.
- 12d ago First seen · 156 lines · 201 tokens per session scan A 1eda18a386d3
merit-stripe is a skill published in the GitHub repository Elnora-AI/elnora-merit-aktiva (8 stars, last pushed 5d ago), licensed Apache-2.0. It adds 201 tokens to every session and 2,277 once invoked, about $0.0010 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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