vendor-privacy-policy-first-pass

vendor-privacy-policy-first-pass is a skill for Claude Code, Codex from LegalQuants/lq-ai. It costs 102 tokens per session (3,506 once invoked), scanned A, original, Apache-2.0.

A quick first review of a vendor’s privacy policy, using a URL, PDF, or pasted text. It summarizes how the vendor collects, uses, shares, stores, and transfers data, and points out possible concerns.

In plain words
What is it for?
Use it to triage a proposed vendor, prepare for a privacy review call, or recheck an updated policy. It is for an initial screen, not a complete privacy assessment.
Why use it?
It helps decide whether a vendor needs deeper privacy review before your organization shares data with them. It gives a fast starting point for contract and security discussions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to triage a proposed vendor, prepare for a privacy review call, or recheck an updated policy. It is for an initial screen, not a complete privacy assessment.

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Install with agentmods
npx agentmods add skills/legalquants/lq-ai/vendor-privacy-policy-first-pass
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 LegalQuants/lq-ai --skill vendor-privacy-policy-first-pass
Clone the repo
git clone --depth 1 https://github.com/LegalQuants/lq-ai

Made for: Claude Code, Codex.

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 vendor-privacy-policy-first-pass

README.md
[![agentmods](https://agentmods.dev/badge/skills/legalquants/lq-ai/vendor-privacy-policy-first-pass/github.svg)](https://agentmods.dev/skills/legalquants/lq-ai/vendor-privacy-policy-first-pass)
Your own site
<a href="https://agentmods.dev/skills/legalquants/lq-ai/vendor-privacy-policy-first-pass"><img src="https://agentmods.dev/badge/skills/legalquants/lq-ai/vendor-privacy-policy-first-pass/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 vendor-privacy-policy-first-pass

Your own site · 80×15
<a href="https://agentmods.dev/skills/legalquants/lq-ai/vendor-privacy-policy-first-pass"><img src="https://agentmods.dev/badge/skills/legalquants/lq-ai/vendor-privacy-policy-first-pass.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,506 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 pass 7 Sept 2026
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 $0.00102 $0.03506
Opus 5 $0.00051 $0.01753
Sonnet 5 $0.00020 $0.00701
Haiku 4.5 $0.00010 $0.00351

Measured 13d ago against content hash f0c1d380fd60, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

vendor-privacy-policy-first-pass 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 13d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/vendor-privacy-policy-first-pass/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vendor Privacy Policy First Pass

Conduct a fast triage assessment of a vendor's privacy policy to help the user decide whether deeper diligence is warranted before sharing data with the vendor. The output is a structured summary plus red-flag identification, not a full privacy assessment.

This skill is calibrated for the in-house counsel use case: a vendor has been proposed, the user has limited time, and the question is "does this policy contain anything that would change our decision to proceed, or does it look standard enough that we can move to DPA negotiation and security review?"

When this skill applies

Apply when the user provides a vendor's privacy policy (or what is presented as one) and asks for a quick assessment. Common triggers:

  • Vendor proposed during procurement; quick read needed before deeper review.
  • Vendor's published policy used as a baseline for DPA negotiation (the policy describes what the vendor says it does; the DPA captures what the vendor commits to do).
  • Periodic re-review of an existing vendor's updated privacy policy.
  • Pre-meeting prep before a vendor security/privacy review call.

Do not apply when:

  • The user wants a full privacy assessment. This skill is a first pass; full assessments are out of scope. Recommend a comprehensive privacy assessment performed by qualified privacy counsel, especially for high-sensitivity data flows.
  • The user wants DPA review. Use DPA Checklist Review for that. The privacy policy is the vendor's public representation; the DPA is the contractual commitment. They serve different purposes and warrant different reviews.
  • The user wants to evaluate the vendor's actual security practices. Privacy policies describe data practices, not security architecture. Security questionnaires, SOC 2 Type II reports, and penetration test summaries are the appropriate inputs for security review.
  • The document is something other than a privacy policy (cookie policy alone; terms of service; security exhibit; AUP). Privacy policies have a recognizable structure (data collection, use, sharing, retention, rights, contact). If the document doesn't have these elements, it isn't a privacy policy.
  • The user wants assistance drafting a privacy policy. Out of scope; recommend privacy counsel and a policy template appropriate to the user's jurisdiction and data practices.

Read the full file on GitHub · 215 lines

Files

What ships with it

5 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.

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. 13d ago First seen · 215 lines · 102 tokens per session scan A f0c1d380fd60

Subscribe to this mod's changes

vendor-privacy-policy-first-pass is a skill published in the GitHub repository LegalQuants/lq-ai (136 stars, last pushed yesterday), licensed Apache-2.0. It adds 102 tokens to every session and 3,506 once invoked, about $0.0005 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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