HIPAA Safe Harbor Coverage Audit
maziyarpanahi/openmed
Checks OpenMed de-identified clinical text against the 18 HIPAA Safe Harbor identifier categories and reports gaps and residual re-identification risk.
A skill your agent uses when the user provides a Data Processing Agreement, Data Processing Addendum, or HIPAA Business Associate Agreement and asks whether it contains the terms required under the…
$ npx skills add LegalQuants/lq-ai --skill dpa-checklist-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LegalQuants/lq-ai dpa-checklist-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LegalQuants/lq-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dpa-checklist-review .claude/skills/dpa-checklist-review && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dpa-checklist-review" agent skill from https://github.com/LegalQuants/lq-ai/tree/main/skills/dpa-checklist-review into .claude/skills/dpa-checklist-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpa-checklist-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LegalQuants/lq-ai/tree/main/skills/dpa-checklist-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LegalQuants/lq-ai --skill dpa-checklist-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LegalQuants/lq-ai dpa-checklist-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LegalQuants/lq-ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dpa-checklist-review .agents/skills/dpa-checklist-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dpa-checklist-review" agent skill from https://github.com/LegalQuants/lq-ai/tree/main/skills/dpa-checklist-review into .agents/skills/dpa-checklist-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpa-checklist-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LegalQuants/lq-ai --skill dpa-checklist-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LegalQuants/lq-ai dpa-checklist-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LegalQuants/lq-ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dpa-checklist-review .cursor/skills/dpa-checklist-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dpa-checklist-review" agent skill from https://github.com/LegalQuants/lq-ai/tree/main/skills/dpa-checklist-review into .cursor/skills/dpa-checklist-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpa-checklist-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LegalQuants/lq-ai.git --path skills/dpa-checklist-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LegalQuants/lq-ai --skill dpa-checklist-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LegalQuants/lq-ai dpa-checklist-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LegalQuants/lq-ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dpa-checklist-review .gemini/skills/dpa-checklist-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dpa-checklist-review" agent skill from https://github.com/LegalQuants/lq-ai/tree/main/skills/dpa-checklist-review into .gemini/skills/dpa-checklist-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpa-checklist-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LegalQuants/lq-ai dpa-checklist-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LegalQuants/lq-ai --skill dpa-checklist-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LegalQuants/lq-ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dpa-checklist-review .github/skills/dpa-checklist-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dpa-checklist-review" agent skill from https://github.com/LegalQuants/lq-ai/tree/main/skills/dpa-checklist-review into .github/skills/dpa-checklist-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpa-checklist-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LegalQuants/lq-ai --skill dpa-checklist-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LegalQuants/lq-ai dpa-checklist-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LegalQuants/lq-ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dpa-checklist-review .opencode/skills/dpa-checklist-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dpa-checklist-review" agent skill from https://github.com/LegalQuants/lq-ai/tree/main/skills/dpa-checklist-review into .opencode/skills/dpa-checklist-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpa-checklist-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
dpa-checklist-reviewA skill your agent uses when the user provides a Data Processing Agreement, Data Processing Addendum, or HIPAA Business Associate Agreement and asks whether it contains the terms required under the…
Dpa Checklist Review is an agent skill from LegalQuants/lq-ai. Use when the user provides a Data Processing Agreement, Data Processing Addendum, or HIPAA Business Associate Agreement and asks whether it contains the terms required under the applicable data-protection regime. Produces a structured checklist scoring each required term as present, partial, missing, or unclear, with clause references and recommended language for any gaps. Supports GDPR Article 28, US state privacy laws (CCPA/CPRA, VCDPA, CPA, CTDPA, and similar), HIPAA BAAs, and general commercial DPAs without a…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files (for example `examples/example_gdpr.md`, `examples/example_us_state.md` and `reference/gdpr_requirements.md`).
It sits in Legal & Compliance, covering Privacy and GDPR and Healthcare and finance regulation. The repository describes itself as: Open-source AI for legal teams. Bring your own keys, run it where you want, own your data. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit d185a62. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Dpa Checklist Review loads about 3.7k tokens when it runs. Until then it costs about 139 tokens; SKILL.md has 1,277 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from LegalQuants/lq-ai at commit d185a62, republished under its Apache-2.0 licence (© LegalQuants). 1,277 words, ~3,712 tokens.
.claude/skills/dpa-checklist-review/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Conduct a structured compliance review of a Data Processing Agreement, DPA-equivalent addendum, or Business Associate Agreement against the requirements of the applicable regulatory regime. The output is a checklist suitable for a compliance tracker — each required term has a row, an assessment, and a clause reference.
Apply when the user provides a DPA, DPA addendum, or BAA and asks for compliance review against a specific regulatory regime. The skill works against four distinct regimes (see regulatory_regime input) and applies different requirements for each.
Do not apply this skill to:
regulatory_regime values and compare outputs.The skill requires the document and the regulatory regime. If regime is not provided:
"Before I review, which regulatory regime should I check this DPA against?
- GDPR (EU/UK GDPR Article 28; covers any DPA processing EU/UK personal data)
- US state privacy (CCPA/CPRA, Virginia VCDPA, Colorado CPA, Connecticut CTDPA, Utah UCPA, Oregon OCPA, and similar)
- HIPAA BAA (Business Associate Agreement under US healthcare law)
- General commercial (DPA without a specific regime; checks commercially-standard DPA terms)
If multiple regimes apply, pick the most prescriptive (typically GDPR) for the primary review; we can run additional reviews for other regimes after."
Do not guess the regime from document title or governing law. A document titled "Data Processing Addendum" with Delaware governing law could be GDPR-driven (because it processes EU resident data), CCPA-driven (because it processes California resident data), or both. Only the user knows what data is in scope.
Optional inputs (party_role, data_categories, international_transfer_context, standard_positions) refine the analysis. The party_role input materially changes severity calibration:
When party_role is not provided, default to controller perspective (regulators almost always investigate the controller, so controller-favorable analysis is the safer default for reviews) and note the assumption in the report. Ask the user to re-run if they are on the processor side.
Produce the review in three passes.
Before substantive review:
Walk through the requirements for the specified regime using the corresponding reference file:
gdpr: use reference/gdpr_requirements.md. The required terms are the nine items in GDPR Article 28(3) plus security obligations under Article 32 plus (when applicable) international-transfer mechanisms.us_state_privacy: use reference/us_state_privacy_requirements.md. The required terms are the convergent set across CCPA/CPRA, VCDPA, CPA, CTDPA, and similar laws; differences between laws are noted where material.hipaa_baa: use reference/hipaa_baa_requirements.md. The required terms are those listed in 45 CFR §164.504(e)(2) plus the additional requirements under HITECH and the HIPAA Omnibus Rule.general_commercial: use reference/general_commercial_requirements.md. The expected terms are commercially-standard DPA terms in the absence of a specific regime — broadly compatible with any of GDPR, US state privacy, or HIPAA but not optimized for any.For each required term, classify:
Compile the findings into the structured checklist (see Output section). Add an overall posture paragraph stating whether the document is:
Produce the review as a structured checklist in markdown:
# DPA Checklist Review: [Document name or counterparty]
**Regulatory regime:** [gdpr | us_state_privacy | hipaa_baa | general_commercial]
**Party role:** [controller | processor | etc.]
**Data categories:** [user-provided context, or "not specified"]
**International transfer context:** [for GDPR; user-provided context, or "not specified"]
## Overall posture
[One paragraph: compliant / compliant with minor gaps / non-compliant / materially non-compliant. State the headline gap or strength. State the recommended next step at a high level.]
## Compliance checklist
| # | Required term | Source | Status | Clause | Assessment |
|---|---|---|---|---|---|
| 1 | [Term name] | [Statute reference, e.g., "GDPR Art. 28(3)(a)"] | Present / Partial / Missing / Unclear / N/A | [§ ref or "—"] | [One-line assessment] |
| 2 | [...] | [...] | [...] | [...] | [...] |
| ... | | | | | |
## Detailed findings
[For each Partial, Missing, or Unclear item, a subsection with:]
### [#] [Term name] — [Status]
**Required by:** [Statute reference]
**What's required:** [Brief plain-language statement of what the regime requires.]
**What the document says:** [Quoted or paraphrased clause language, with citation. If the term is missing, "Not addressed."]
**Why this is a gap:** [Specific deficiency from the regime's perspective.]
**Recommended language:** [Specific suggested clause language to add or modify. Reference any applicable model clauses (e.g., EU SCCs) where appropriate.]
## Items requiring human judgment
[Items the skill cannot resolve and that need the user's regulatory-counsel expertise or business judgment. Examples: jurisdictional applicability questions, novel data flows the skill is unfamiliar with, regulator-specific guidance the skill cannot verify is current.]
## Recommended next steps
[Short bulleted list. Common options: sign as-is (if compliant), negotiate the redlines proposed above, propose user's own DPA template, escalate specific issues to outside privacy counsel, run an additional review under another regime.]The checklist table is the centerpiece. Detailed findings only cover non-Present items — do not pad with "Present and standard, no further notes" rows; the table already shows that.
international_transfer_context indicates transfers occur. Critical gap; flag in posture and detailed findings even if the controller-processor terms are otherwise compliant.reference/gdpr_requirements.md — Article 28(3) required terms, Article 32 security, transfer-mechanism requirements.reference/us_state_privacy_requirements.md — Convergent CCPA/CPRA/VCDPA/CPA/CTDPA/UCPA/OCPA processor-contract requirements.reference/hipaa_baa_requirements.md — 45 CFR §164.504(e)(2) BAA requirements plus HITECH/Omnibus updates.reference/general_commercial_requirements.md — Commercially-standard DPA terms when no specific regime is stated.examples/example_gdpr.md — Worked example: GDPR DPA review from a controller perspective.examples/example_us_state.md — Worked example: US state privacy DPA review from a service-provider/processor perspective.© LegalQuants, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files in skills/dpa-checklist-review of LegalQuants/lq-ai.
Open the folder on GitHubat commit d185a62
Dpa Checklist Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dpa Checklist Review this skillLegalQuants/lq-ai | 150 | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | |
| HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Audit Reportharness/harness-skills | 115 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Anne WojcickiK-Dense-AI/mimeographs | 129 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Auditing Deidentification Runsmaziyarpanahi/openmed | 5.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
maziyarpanahi/openmed
Checks OpenMed de-identified clinical text against the 18 HIPAA Safe Harbor identifier categories and reports gaps and residual re-identification risk.
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert HIPAA compliance assistant for healthcare and software contexts.
harness/harness-skills
Generate audit reports and compliance trails using Harness audit trail data via MCP v2 tools.
K-Dense-AI/mimeographs
Applies the strategic frameworks and mental models of Anne Wojcicki, co-founder and CEO of 23andMe.
maziyarpanahi/openmed
Produce a signed, reproducible, no-PHI audit trail for an OpenMed de-identification run via deidentify(audit=True).
affaan-m/ECC
Protected Health Information (PHI) and PII compliance patterns for healthcare applications: data classification, row-level access control, tamper-proof audit trails, schema tagging, and common leak…
LegalQuants/lq-ai
A skill your agent uses when the user provides a client alert, regulatory bulletin, law firm memo, or similar legal update and wants the time-sensitive action items, deadlines, and obligations…
LegalQuants/lq-ai
A skill your agent uses when the user asks to find, read, or cite U.S.
LegalQuants/lq-ai
A skill your agent uses when the user has a piece of legal-jargon-heavy text and wants it rewritten in plain language for a specified non-legal audience.
LegalQuants/lq-ai
A skill your agent uses when the user has a contract loaded and asks a specific question about it — what a clause means, where something is addressed, whether a term is unusual, how a provision…
LegalQuants/lq-ai
A skill your agent uses when the user wants to compare the same handful of terms across N contracts side-by-side in a grid — what is the term, survival period, carveouts, and governing law in each…
LegalQuants/lq-ai
A skill your agent uses when the user has typed a short or vague prompt and the system is configured to expand prompts before submission, or when the user explicitly invokes "Enhance Prompt" or asks…
Categories
A skill your agent uses when the user provides a Data Processing Agreement, Data Processing Addendum, or HIPAA Business Associate Agreement and asks whether it contains the terms required under the…. Dpa Checklist Review is an agent skill from LegalQuants/lq-ai. Use when the user provides a Data Processing Agreement, Data Processing Addendum, or HIPAA Business Associate Agreement and asks whether it contains the terms required under the applicable data-protection regime.
Dpa Checklist Review fits situations like: the user provides a Data Processing Agreement; data Processing Addendum; HIPAA Business Associate Agreement and asks whether it contains the terms required under the applicable data-protection regime.
Run `npx skills add LegalQuants/lq-ai --skill dpa-checklist-review -a claude-code`. Or copy the skill folder (skills/dpa-checklist-review in LegalQuants/lq-ai) into .claude/skills/dpa-checklist-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LegalQuants/lq-ai --skill dpa-checklist-review -a codex`. Or copy the skill folder (skills/dpa-checklist-review in LegalQuants/lq-ai) into .agents/skills/dpa-checklist-review in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LegalQuants/lq-ai --skill dpa-checklist-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dpa-checklist-review, .gemini/skills/dpa-checklist-review, .github/skills/dpa-checklist-review and .opencode/skills/dpa-checklist-review in your project.
SKILL.md names no scripts, command-line tools or credentials: Dpa Checklist Review is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Dpa Checklist Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Dpa Checklist Review: HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Hipaa Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars), Audit Report (harness/harness-skills, 115 stars) and Anne Wojcicki (K-Dense-AI/mimeographs, 129 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LegalQuants (a GitHub organization) maintains it in LegalQuants/lq-ai, which has 150 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 11, 2026.
Source: LegalQuants/lq-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.