merit-palk-payroll

merit-palk-payroll is a skill for Claude Code from Elnora-AI/elnora-merit-aktiva. It costs 190 tokens per session (1,361 once invoked), scanned A, original, Apache-2.0.

A monthly payroll guide for Merit Palk, a payroll program. It covers entering employee salaries and deductions, where money withheld for taxes or other purposes is recorded, and recording leave or sick days.

In plain words
What is it for?
Use it to enter salary and withholding rows for employees and record holidays, leave, or sickness for a payroll month.
Why use it?
It explains the special codes and accounting-period fields that payroll entries require. It also warns that submitted rows cannot be deleted or updated through the API, so each payload must be checked first.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the merit-aktiva-workspace plugin — 18 skills, 5 commands, 3 agents, 1 MCP server shipped together

Good fit Use it to enter salary and withholding rows for employees and record holidays, leave, or sickness for a payroll month.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/elnora-ai/elnora-merit-aktiva/merit-palk-payroll
Install

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.

Any agent
npx skills add Elnora-AI/elnora-merit-aktiva --skill merit-palk-payroll
Clone the repo
git clone --depth 1 https://github.com/Elnora-AI/elnora-merit-aktiva

Made for: Claude Code.

Or install merit-aktiva-workspace, the plugin that ships this one along with the rest of its 18 skills, 5 commands, 3 agents, 1 MCP server.

Wrote 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.

agentmods badge for merit-palk-payroll

README.md
[![agentmods](https://agentmods.dev/badge/skills/elnora-ai/elnora-merit-aktiva/merit-palk-payroll/github.svg)](https://agentmods.dev/skills/elnora-ai/elnora-merit-aktiva/merit-palk-payroll)
Your own site
<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.

agentmods 80×15 button for merit-palk-payroll

Your own site · 80×15
<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>
Per session 190 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,361 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 12d ago against content hash 8574e4146ff6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

skills/merit-palk-payroll/SKILL.md · 92 lines

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 — Typecode must match an import ID that already exists in Merit Palk. (These Palk IDs are not in company-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.
  • Typecode sign 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; Amount is ignored for withholdings. Tariff/Amount are required for the Tariff×Amount×Coef method.
  • Month and Year are integers (the accounting period), not a YYYYMM string.
  • 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)

Read the full file on GitHub · 92 lines

Changes

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.

  1. 12d ago First seen · 92 lines · 190 tokens per session scan A 8574e4146ff6

Subscribe to this mod's changes

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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