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-palk-payrollgit 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-palk-payroll)<a href="https://agentmods.dev/skills/elnora-ai/elnora-merit-aktiva/merit-palk-payroll"><img src="https://agentmods.dev/badge/skills/elnora-ai/elnora-merit-aktiva/merit-palk-payroll/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-palk-payroll"><img src="https://agentmods.dev/badge/skills/elnora-ai/elnora-merit-aktiva/merit-palk-payroll.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 Data Exfiltration · line 71 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00190 | $0.01361 |
| Opus 5 | $0.00095 | $0.00681 |
| Sonnet 5 | $0.00038 | $0.00272 |
| Haiku 4.5 | $0.00019 | $0.00136 |
Grade A, and why
merit-palk-payroll 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Merit Palk — Monthly Payroll (salaries, withholdings, absences)
Endpoints: palk salary create (sendsalary) and palk absences create (sendabsence). Both
POST one record per call — loop for a whole month's run. No API delete/update; a wrong
row is fixed manually in Merit Palk. Confirm each payload before sending.
Load the company books reference (configured salary/withholding import IDs, department codes) from the references dir (
MERIT_REFERENCES_DIR) before building rows —Typecodemust match an import ID that already exists in Merit Palk. (These Palk IDs are not incompany-profile.json, which covers Aktiva reference data only.)
Salaries & withholdings (sendsalary)
One row = one salary or withholding line for one employee in one accounting month.
elnora-merit palk salary create --data '{
"ContractCode": "39001011234",
"Typecode": 100,
"Tariff": 12.000000, "Amount": 168,
"Month": 6, "Year": 2026,
"DepCode": "ADMIN", "DocName": "June 2026"
}'
ContractCode= contract import code or the employee's Personal ID code.Typecodesign chooses the table: positive = Salary type import ID; negative = Withholding type import ID (e.g.-200). The code must already exist on the matching card in Merit Palk (Payroll → Salary types / Withholdings → Withholding types, "Import ID" field).Tariff×Amount= gross (when the salary type's method is Tariff × Amount × Coef; the Coef is configured in Merit Palk).Amount= hours/days/pieces/percentage;Amountis ignored for withholdings.Tariff/Amountare required for the Tariff×Amount×Coef method.MonthandYearare integers (the accounting period), not aYYYYMMstring.- Optional:
DepCode,CCCode,PrCode(ignored if missing),NormHours,NormDays,DocName.
To enter a full month, send one call per salary/withholding line. There is no batch payload and no rollback, so verify the set, then loop.
Absences — vacation, sick leave, etc. (sendabsence)
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 · 92 lines · 190 tokens per session scan A 8574e4146ff6
merit-palk-payroll 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 190 tokens to every session and 1,361 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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