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-contract-registergit 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-contract-register)<a href="https://agentmods.dev/skills/pandadoc/mcp-server-guide/pandadoc-contract-register"><img src="https://agentmods.dev/badge/skills/pandadoc/mcp-server-guide/pandadoc-contract-register/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-contract-register"><img src="https://agentmods.dev/badge/skills/pandadoc/mcp-server-guide/pandadoc-contract-register.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 | $0.00062 | $0.01916 |
| Opus 5.5 | $0.00025 | $0.00766 |
| Sonnet 5.5 | $0.00012 | $0.00383 |
| Haiku 4.5 | $0.00006 | $0.00192 |
Grade A, and why
pandadoc-contract-register 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PandaDoc Signed-Contract Register & Key-Terms Extractor
A table of what has been signed, with whom, when, for how much, and on what terms — assembled from PandaDoc's own AI extraction.
Two things shape everything below: the extracted values are unconfirmed, and you cannot search by them.
Prerequisites
The PandaDoc MCP Server must be connected. Required tools: PandaDoc:documents_list, PandaDoc:documents_search,
PandaDoc:documents_details_get, PandaDoc:documents_metadata_batch_get. If they are missing, say so and point at
https://mcp.pandadoc.com.
There is no documents_metadata_get. Every metadata read goes through PandaDoc:documents_metadata_batch_get,
which takes 1-40 IDs, so one document is a one-element document_ids. It also takes field_keys when
you want only some of the fields back.
What extraction gives you, and what it costs
PandaDoc:documents_metadata_batch_get returns AI-extracted fields. Observed on a completed contract:
Counterparty name, Counterparty address, Counterparty signer name, Internal party legal name,
Internal signer name, Agreement date, plus term checkboxes — Audit rights, Exclusivity,
HIPAA / BAA, Include SLA, Most favored customer, Data processing addendum incorporated,
Includes logo rights, Include special terms, Has referenced documents.
Three constraints that must reach the user:
- Every value carries
acceptance_status, and it waspendingon every field of every sample. That means AI-extracted and not human-confirmed. A register presented as fact when nothing in it has been reviewed is a liability in a legal context. Label it. - Extraction runs only on completed documents, asynchronously. Every entry in the batch response
carries its own
status:ok,extraction_pending(retry afterretry_after),internal_error(also retryable, for that document alone),extraction_not_started(the document is not completed yet),extraction_failed(terminal — contact support),not_foundandaccess_denied. One unusable ID does not fail the whole call, so read the status per document. - There is no monetary field. Contract value is not in metadata — it comes from
PandaDoc:documents_details_get→pricing.total.
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 226ea754e7a8
- 12d ago Changed · +18 lines 9868990555bf
- 1mo ago First seen · 162 lines · 62 tokens per session scan A 1ccd1efa9039
pandadoc-contract-register is a skill published in the GitHub repository PandaDoc/mcp-server-guide (2 stars, last pushed 2d ago), licensed MIT. It adds 62 tokens to every session and 1,916 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.
Other skills, from other repositories
akf-trust-metadata
The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
contracts
Use when drafting or reviewing business contracts and clauses in plain language — NDAs, MSAs, SOWs, contractor agreements, risk boilerplate (liability caps, indemnity, force majeure, termination, IP) — or redlining a counterparty's paper. NOT consumer Terms of Service (that is terms-conditions) and NOT the signing…
shopify-app-store-review
Run a pre-submission compliance check against your Shopify app's codebase. Reviews App Store requirements and surfaces likely issues before you submit for official review.
lawyer-expert
Expert-level legal systems, contracts, compliance, and legal technology. Use when the user mentions legal, contracts, compliance, law, or legal tech, or when the task involves Legal Systems, Legal Technology, Compliance Frameworks, or Contract Management.
legaltech-expert
Expert in legal technology: contract lifecycle management, e-discovery, AI-assisted legal research, case and matter management, document automation, and compliance tooling. Use when the user mentions legal case or matter management, e-discovery and legal holds, CLM or contract review and obligation tracking, legal…
jotform-sign
Prepare or edit a contract, agreement, NDA, or consent document, set the signers, send a signature invitation when asked, or check who has signed. Use when the user wants something signed. A form, survey, or RSVP is not a signing document.