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 LegalQuants/lq-skills --skill us-state-privacy-navigatorgit clone --depth 1 https://github.com/LegalQuants/lq-skillsWrote 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/legalquants/lq-skills/us-state-privacy-navigator)<a href="https://agentmods.dev/skills/legalquants/lq-skills/us-state-privacy-navigator"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/us-state-privacy-navigator/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/legalquants/lq-skills/us-state-privacy-navigator"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/us-state-privacy-navigator.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 | $0.00401 | $0.04977 |
| Opus 5.5 | $0.00160 | $0.01991 |
| Sonnet 5.5 | $0.00080 | $0.00995 |
| Haiku 4.5 | $0.00040 | $0.00498 |
Grade A, and why
us-state-privacy-navigator 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 — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
US State Privacy Navigator
Cross-jurisdictional applicability, gap analysis, and deliverable generation for the US state consumer privacy patchwork. Authored for legal practitioners and privacy professionals who need defensible, citation-ready output rather than vendor-style checklists.
What this skill does
- Applicability triage. Given a business profile, returns a per-state applicability verdict (Applies / Likely Applies / Does Not Apply / Insufficient Info) with the threshold reasoning shown.
- Gap analysis. Compares current practice to each applicable law's controller obligations and consumer rights, produces a severity-scored issue log, and prioritizes remediation.
- Deliverables. Generates a memo (Markdown) and a formal client-ready deliverable (.docx) including the applicability matrix, gap log, and remediation roadmap. Where requested, drafts state-compliant notice clauses keyed to the specific obligations triggered.
- DSAR / consumer-rights orchestration. Routes a single consumer request to the correct response procedure based on the requester's residency, the right invoked, and the controller's status under each law.
When to consult what
This SKILL.md is the orchestrator. The depth lives in references/. Read references on demand — never preload all of them.
| If the user is asking about... | Read |
|---|---|
| Whether a law applies to their business | references/applicability-matrix.md, then the relevant states/<xx>.md |
| What rights consumers have / how to fulfill | references/rights-comparison.md + relevant state file |
| What the controller must do (notices, contracts, assessments) | references/controller-duties.md + relevant state file |
| Sensitive data, special categories, opt-in vs opt-out | references/sensitive-data.md |
| Global Privacy Control / universal opt-out | references/universal-opt-out.md |
| Kids/teens, schools, COPPA interaction | references/kids-and-teens.md |
| Entity is HIPAA-covered, GLBA-regulated, COPPA-subject, FERPA-related, or FCRA-touching — entity-level vs. data-level exemption diagnostic per state | references/federal-overlays.md |
| Penalties, AG enforcement, private right of action, cure periods | references/enforcement.md |
| What an AG is actually likely to enforce, by state | references/ag-priorities.md |
| Analogous prior enforcement actions for a given gap | scripts/precedent_match.py against references/enforcement_actions.json |
| The binding constraint across multi-state operations | scripts/conflict_resolver.py (compliance-ceiling synthesis) |
| Litigation-defense framing — what controllers can argue | references/defense-arguments.md |
| Controller / processor / third-party status (per data flow) | references/workflows/status-determination.md |
| Single state deep-dive | references/states/<xx>.md |
| Running a structured intake before answering | references/workflows/intake-questionnaire.md |
| Scoring gaps and prioritizing remediation | references/workflows/gap-analysis-method.md |
| Routing a specific consumer request | references/workflows/dsar-routing.md |
| Drafting model clauses for notices | assets/notice-clauses/*.md |
| Pre-publication QA on memo citation discipline | scripts/citation_audit.py |
What ships with it
60 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.
- .gitignore 142 B
- assets/applicability-questions.json 10 KB
- assets/memo-template.md 9.0 KB
- assets/notice-clauses/financial-incentive.md 7.1 KB
- assets/notice-clauses/notice-at-collection.md 6.8 KB
- assets/notice-clauses/opt-out-disclosures.md 6.0 KB
- assets/notice-clauses/sensitive-data-notice.md 8.3 KB
- README.md 23 KB
- references/ag-priorities.md 15 KB
- references/applicability-matrix.md 17 KB
- references/controller-duties.md 11 KB
- references/defense-arguments.md 29 KB
- references/enforcement_actions.json 204 KB
- references/enforcement.md 12 KB
- references/federal-overlays.md 24 KB
- references/kids-and-teens.md 9.4 KB
- references/rights-comparison.md 12 KB
- references/sensitive-data.md 9.5 KB
- references/states/ca.md 11 KB
- references/states/co.md 3.5 KB
- references/states/ct.md 3.0 KB
- references/states/de.md 2.2 KB
- references/states/fl.md 3.3 KB
- references/states/ia.md 2.2 KB
- references/states/in.md 1.5 KB
- references/states/ky.md 1.4 KB
- references/states/md.md 4.5 KB
- references/states/mn.md 2.9 KB
- references/states/mt.md 1.8 KB
- references/states/ne.md 1.4 KB
- references/states/nh.md 1.5 KB
- references/states/nj.md 2.8 KB
- references/states/or.md 2.2 KB
- references/states/ri.md 1.8 KB
- references/states/tn.md 2.8 KB
- references/states/tx.md 3.7 KB
- references/states/ut.md 2.9 KB
- references/states/va.md 3.2 KB
- references/universal-opt-out.md 7.3 KB
- references/workflows/dsar-routing.md 11 KB
- references/workflows/gap-analysis-method.md 8.8 KB
- references/workflows/intake-questionnaire.md 8.1 KB
- references/workflows/status-determination.md 17 KB
- scripts/applicability_check.py 19 KB runs code
- scripts/citation_audit.py 16 KB runs code
- scripts/conflict_resolver.py 33 KB runs code
- scripts/generate_docx_memo.js 19 KB runs code
- scripts/precedent_match.py 9.4 KB runs code
- tests/fixtures/gaps_sample.json 626 B
- tests/fixtures/intake_below_thresholds.json 1.0 KB
- tests/fixtures/intake_ca_only.json 1.0 KB
- tests/fixtures/intake_multistate.json 1.1 KB
- tests/fixtures/memo_clean.md 1.0 KB
- tests/fixtures/memo_with_errors.md 1.2 KB
- tests/README.md 3.2 KB
- tests/run_all.py 969 B runs code
- tests/test_applicability_check.py 7.6 KB runs code
- tests/test_citation_audit.py 4.6 KB runs code
- tests/test_conflict_resolver.py 5.1 KB runs code
- tests/test_corpus_integrity.py 6.2 KB runs code
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 · 196 lines · 401 tokens per session scan A d48882fbfc19
us-state-privacy-navigator is a skill published in the GitHub repository LegalQuants/lq-skills (64 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 401 tokens to every session and 4,977 once invoked, about $0.0016 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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