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 check-technologies/mcp-server-check --skill prior-provider-worker-migrationgit clone --depth 1 https://github.com/check-technologies/mcp-server-checkWrote 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/check-technologies/mcp-server-check/prior-provider-worker-migration)<a href="https://agentmods.dev/skills/check-technologies/mcp-server-check/prior-provider-worker-migration"><img src="https://agentmods.dev/badge/skills/check-technologies/mcp-server-check/prior-provider-worker-migration/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/check-technologies/mcp-server-check/prior-provider-worker-migration"><img src="https://agentmods.dev/badge/skills/check-technologies/mcp-server-check/prior-provider-worker-migration.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 Excessive Agency · line 3 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00194 | $0.03822 |
| Opus 5 | $0.00097 | $0.01911 |
| Sonnet 5 | $0.00039 | $0.00764 |
| Haiku 4.5 | $0.00019 | $0.00382 |
Grade A, and why
prior-provider-worker-migration 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 9d 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 — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Check Company Setup — Worker Migration from Prior Provider
This skill imports workers (employees and contractors) into Check from any prior payroll provider's worker report. The guiding principle is data integrity: every record created in Check must be verified against the original source data, and any discrepancies must be corrected before moving on.
Prerequisites
Before starting, collect two things from the user:
- A Check company ID (looks like
com_XXXXXXXXXXXXXXXXXX). Ask for it if not provided. - A worker report — a CSV, XLS, XLSX, or PDF exported from the prior payroll provider.
Step 1: Detect the File Format and Parse
Reports vary wildly across providers. The first job is to figure out what you're looking at.
1a. Open the file and identify the format family
Read the file using the appropriate method for its type:
- CSV/TSV — read as text, look at the first 10 rows
- XLS — use
xlrdto open and inspect sheets - XLSX — use
openpyxlto open and inspect sheets - PDF — extract text (use the Read tool or a PDF extraction library)
Then classify the report into one of these format families based on what you see. Read the
matching reference file from references/ for detailed parsing instructions:
| Format Family | How to Recognize | Reference |
|---|---|---|
| Tabular CSV/XLSX | Clean column headers in one of the first ~5 rows; one worker per row with separate columns for each field (name, SSN, DOB, address components, etc.) | references/tabular.md |
| Multi-line Cell Spreadsheet | XLS/XLSX where a single cell contains multiple lines of data (e.g., name + address + DOB + SSN all packed into one "Personal info" or "Employee Information" cell) | references/multiline-cell.md |
| PDF Employee Details | PDF with a table layout where each worker occupies a multi-row block; fields like "Personal info", "Hire date", "Work location", "Pay info", "Tax info" | references/pdf-details.md |
| PDF Simple List | PDF with a simple tabular list — one row per worker, clear column headers | references/pdf-list.md |
What ships with it
4 files 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.
- 9d ago First seen · 355 lines · 194 tokens per session scan A 63aa707d8f62
prior-provider-worker-migration is a skill published in the GitHub repository check-technologies/mcp-server-check (18 stars, last pushed 5d ago), licensed MIT. It adds 194 tokens to every session and 3,822 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 2026-08-30.
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