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 PandaDoc/mcp-server-guide --skill pandadoc-onboarding-agreementgit clone --depth 1 https://github.com/PandaDoc/mcp-server-guideWrote 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/pandadoc/mcp-server-guide/pandadoc-onboarding-agreement)<a href="https://agentmods.dev/skills/pandadoc/mcp-server-guide/pandadoc-onboarding-agreement"><img src="https://agentmods.dev/badge/skills/pandadoc/mcp-server-guide/pandadoc-onboarding-agreement/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/pandadoc/mcp-server-guide/pandadoc-onboarding-agreement"><img src="https://agentmods.dev/badge/skills/pandadoc/mcp-server-guide/pandadoc-onboarding-agreement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00052 | $0.03479 |
| Opus 5.5 | $0.00021 | $0.01392 |
| Sonnet 5.5 | $0.00010 | $0.00696 |
| Haiku 4.5 | $0.00005 | $0.00348 |
Grade A, and why
pandadoc-onboarding-agreement 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 yesterday.
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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PandaDoc Onboarding Agreement Generator
Issue a new joiner's paperwork with their details already filled in, and nothing left unassigned.
The difference from a plain send is prefill: HR templates carry many fields, and a document sent with half of them blank puts the work back on the new hire.
Prerequisites
The PandaDoc MCP Server must be connected. Required tools: PandaDoc:templates_list, PandaDoc:templates_details_get,
PandaDoc:documents_create, PandaDoc:documents_status_get, PandaDoc:documents_details_get, PandaDoc:documents_fields_assign,
PandaDoc:documents_update, PandaDoc:documents_send. If they are missing, say so and point at https://mcp.pandadoc.com.
Handling personal data
These documents carry personal information — full names, national ID numbers, addresses, sometimes compensation. Two habits:
-
Never reprint a national ID, PESEL, passport number, home address or salary figure in your replies. Refer to it, do not restate it: "national ID — filled from the value you gave", "PESEL — received, will go in
Text2". The user typed the number; they do not need it read back, and this transcript gets logged, pasted into tickets and shared. One mention in their message is unavoidable, a second one is yours to prevent.The easy place to slip is the field inventory in Step 2 and the summary in Step 6, where listing field-and-value feels like diligence.
Text2 — can use 85******345 (ID)is the mistake; writeText2 — national ID, from your messageinstead. This holds even when you are only asking about something else, such as a missing date.Masking is fine when a value genuinely has to be identified —
85******345— but naming the field is usually enough. -
Never invent a value for a personal field. If a national ID, address or start date is missing, ask. A plausible-looking placeholder in an employment document is far worse than an unfilled field, because it can be signed.
Workflow
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.
- yesterday Changed · +2 lines 4e0594ce23bc
- 12d ago Changed · +2 lines a494e29e2025
- 1mo ago First seen · 263 lines · 52 tokens per session scan A d4b84a18c827
pandadoc-onboarding-agreement is a skill published in the GitHub repository PandaDoc/mcp-server-guide (2 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 3,479 once invoked, about $0.0002 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 2026-09-16.
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