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 worker-census-reportgit 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/worker-census-report)<a href="https://agentmods.dev/skills/check-technologies/mcp-server-check/worker-census-report"><img src="https://agentmods.dev/badge/skills/check-technologies/mcp-server-check/worker-census-report/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/worker-census-report"><img src="https://agentmods.dev/badge/skills/check-technologies/mcp-server-check/worker-census-report.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 | $0.00088 | $0.01815 |
| Opus 5.5 | $0.00035 | $0.00726 |
| Sonnet 5.5 | $0.00018 | $0.00363 |
| Haiku 4.5 | $0.00009 | $0.00181 |
Grade A, and why
worker-census-report 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 1mo 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Worker Census Report
This skill generates a complete census of all employees and contractors for a company. It pulls full worker details and presents a structured report suitable for benefits enrollment, compliance audits, and annual reviews.
Prerequisites
Collect from the user:
- A Check company ID (looks like
com_XXXXXXXXXXXXXXXXXX). Ask for it if not provided. - Optional filters — ask the user:
- Worker types: employees only, contractors only, or both (default: both)
- Status filter: active only, terminated only, or all (default: all)
Step 1: Gather Company Context
Pull the company details:
run_tool: get_company { "company_id": "<company_id>" }
Note the company name for the report header.
Step 2: Build Workplace Lookup
Fetch all workplaces to map workplace IDs to addresses:
run_tool: list_workplaces { "company": "<company_id>", "limit": 500 }
Build a lookup table: { workplace_id: { name, line1, city, state, postal_code } }.
If any workplace entry lacks address details, fetch it individually:
run_tool: get_workplace { "workplace_id": "<workplace_id>" }
Step 3: Fetch Employees
Skip this step if the user requested contractors only.
3a. List all employees
run_tool: list_employees { "company": "<company_id>", "limit": 100 }
If the response includes a next cursor, paginate:
run_tool: list_employees { "company": "<company_id>", "limit": 100, "cursor": "<cursor>" }
Continue until all employees are fetched. Report progress for large companies: "Fetched 100/247 employees..."
3b. Get full details for each employee
The list endpoint returns summary data. For full details (residence, SSN last 4, etc.), fetch each employee individually:
run_tool: get_employee { "employee_id": "<employee_id>" }
Process these in batches and give progress updates (e.g., "Fetching employee details: 25/50...").
3c. Apply status filter
If the user requested active only, filter out employees with a termination_date.
If terminated only, keep only those with a termination_date.
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.
- 1mo ago First seen · 207 lines · 88 tokens per session scan A 7f782958a6a8
worker-census-report is a skill published in the GitHub repository check-technologies/mcp-server-check (18 stars, last pushed today), licensed MIT. It adds 88 tokens to every session and 1,815 once invoked, about $0.0004 per session on Opus 5.5. 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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