HIPAA Pre-Deployment Compliance Check
maziyarpanahi/openmed
Walks a data pipeline against the HIPAA Privacy and Security Rule checklist and produces a gap report before it processes patient data.
Automatically plan, draft, and compliance-check a complete evidence-grounded rebuttal from a confirmed baseline.
$ npx skills add Optima-CityU/LLM4AD_Next --skill autorebuttal -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next autorebuttal --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/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/autorebuttal/autorebuttal .claude/skills/autorebuttal && 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 "autorebuttal" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/autorebuttal/autorebuttal into .claude/skills/autorebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorebuttal", 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/Optima-CityU/LLM4AD_Next/tree/main/skills/autorebuttal/autorebuttalType 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 Optima-CityU/LLM4AD_Next --skill autorebuttal -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next autorebuttal --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/autorebuttal/autorebuttal .agents/skills/autorebuttal && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "autorebuttal" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/autorebuttal/autorebuttal into .agents/skills/autorebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorebuttal", 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 Optima-CityU/LLM4AD_Next --skill autorebuttal -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next autorebuttal --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/autorebuttal/autorebuttal .cursor/skills/autorebuttal && 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 "autorebuttal" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/autorebuttal/autorebuttal into .cursor/skills/autorebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorebuttal", 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/Optima-CityU/LLM4AD_Next.git --path skills/autorebuttal/autorebuttal--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 Optima-CityU/LLM4AD_Next --skill autorebuttal -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next autorebuttal --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/autorebuttal/autorebuttal .gemini/skills/autorebuttal && 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 "autorebuttal" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/autorebuttal/autorebuttal into .gemini/skills/autorebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorebuttal", 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 Optima-CityU/LLM4AD_Next autorebuttalInstalls 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 Optima-CityU/LLM4AD_Next --skill autorebuttal -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/autorebuttal/autorebuttal .github/skills/autorebuttal && 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 "autorebuttal" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/autorebuttal/autorebuttal into .github/skills/autorebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorebuttal", 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 Optima-CityU/LLM4AD_Next --skill autorebuttal -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next autorebuttal --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/autorebuttal/autorebuttal .opencode/skills/autorebuttal && 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 "autorebuttal" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/autorebuttal/autorebuttal into .opencode/skills/autorebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorebuttal", 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.
autorebuttalAutomatically plan, draft, and compliance-check a complete evidence-grounded rebuttal from a confirmed baseline.
Autorebuttal is an agent skill from Optima-CityU/LLM4AD_Next. Automatically plan, draft, and compliance-check a complete evidence-grounded rebuttal from a confirmed baseline.
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Legal & Compliance, covering Regulatory compliance. The repository describes itself as: A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use. The licence is BSD-3-Clause.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e3d3f7b. 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.
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.
Autorebuttal loads about 728 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 283 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 Optima-CityU/LLM4AD_Next at commit e3d3f7b, republished under its BSD-3-Clause licence (© Optima-CityU). 283 words, ~728 tokens.
.claude/skills/autorebuttal/SKILL.md (or your agent's skills folder).<!-- Adapted from YoujunZhao/AutoRebuttal; see /app/skills/autorebuttal-shared/ATTRIBUTION.md. -->
Read these shared references completely before acting:
/app/skills/autorebuttal-shared/references/input-contract.md/app/skills/autorebuttal-shared/references/strategy-and-format.md/app/skills/autorebuttal-shared/references/drafting-and-compliance.md/app/skills/autorebuttal-shared/references/rebuttal-playbook.md/app/skills/autorebuttal-shared/references/reviewer-model.md/app/skills/autorebuttal-shared/references/initial-rebuttal-style.md/app/skills/autorebuttal-shared/references/human-rebuttal-style.md/app/skills/autorebuttal-shared/references/venue-policies.md/app/skills/autorebuttal-shared/references/evidence-policy.md/app/skills/autorebuttal-shared/references/artifact-contracts.mdIf the baseline lacks details needed for a reply, read the saved review files or ask the author to paste the relevant original passage into the conversation. Do not treat an OpenReview link alone as evidence of the review's contents.
Read the confirmed intake and analysis from the rebuttal context before doing any generation. This author-facing phase contains three internal steps that must run in order without asking the author to type “continue.”
Resolve shared issues, priority reviewers, response moves, output structure, and a reviewer-complete strategy. Decide whether shared concerns belong in one global response or in reviewer-specific blocks. Keep the stable reviewer UUIDs from the confirmed baseline; display labels are presentation only.
Write concise responses covering every analyzed concern exactly once across
the global response and reviewer-specific entries. Ground factual claims in
the paper or explicit author evidence and attach auditable source references.
Use visible [AUTHOR: ...] placeholders when only the author can provide a
result or decision.
Audit and refine the full draft for concern coverage, reviewer identity,
global/shared consistency, evidence integrity, and submission readiness. Fix
non-blocking writing problems directly. Assemble the exact final submission in
rendered_text; it must agree with the final global response and entries. Keep
unresolved evidence visible and set ready_for_submission false when author
action remains. Publish concise author-facing guidance for those unresolved
items: identify what is missing, why it matters, and a practical next step.
Do not expose the internal compliance checklist as user guidance.
Publish the complete AutoRebuttal phase contract exactly once with
publish_stage_result and idempotency key autorebuttal-v1.
© Optima-CityU, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/autorebuttal/autorebuttal of Optima-CityU/LLM4AD_Next.
Open the folder on GitHubat commit e3d3f7b
Autorebuttal 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 |
|---|---|---|---|---|---|---|
| Autorebuttal this skillOptima-CityU/LLM4AD_Next | 574 | — | ~728 | Automated safety check: Pass | BSD-3-Clause | |
| HIPAA Pre-Deployment Compliance Checkmaziyarpanahi/openmed | 5.5k | — | ~2k | 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 | |
| ISO Standards Readiness EvidenceK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.6k | Automated safety check: Notes | MIT | |
| Iso42001Sushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Legal Compliance SearchSerein-81/financial_rag | 148 | — | ~1.6k | Automated safety check: Notes | None |
maziyarpanahi/openmed
Walks a data pipeline against the HIPAA Privacy and Security Rule checklist and produces a gap report before it processes patient data.
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert HIPAA compliance assistant for healthcare and software contexts.
K-Dense-AI/scientific-agent-skills
Organizes scope, controlled documents, risk files and traceability into draft evidence for human review against ISO 13485, 14971, 17025 and 15189.
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert ISO 42001 AI Management System (AIMS) compliance advisor.
Serein-81/financial_rag
Looks up current company registration rules, industry licences and compliance obligations in China through live web search, tailored to the business profile.
zh-xx/legal-assistant-skills
广告合规审核技能,用于审核广告素材是否符合中国广告法及相关法规。适用场景:(1) 用户提交广告文案、广告素材要求合规审核时;(2) 用户提到"广告审核""广告合规""广告法审查"等关键词时;(3) 用户要求检查广告内容是否存在违法违规风险时;(4) 用户提交房地产、食品、医疗、药品、互联网等行业广告要求专项审核时。审核依据涵盖《广告法》《反不正当竞争法》及行业专项法规。
Optima-CityU/LLM4AD_Next
A skill your agent uses when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
Optima-CityU/LLM4AD_Next
A skill your agent uses when a user wants to build an LLM4ADNext task package — a runnable directory that lets the LLM4AD platform evolve an algorithm for their problem.
Optima-CityU/LLM4AD_Next
Organize one or more Markdown source documents into high-fidelity, editable knowledge blocks.
Optima-CityU/LLM4AD_Next
A skill your agent uses when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.
Optima-CityU/LLM4AD_Next
A skill your agent uses when documenting a proposal's research foundation, available conditions, team support, feasibility, and risk controls from author-supplied facts.
Optima-CityU/LLM4AD_Next
A skill your agent uses when distilling a proposal's innovations and defining milestones, annual plans, contingency points, and expected outcomes.
Categories
Automatically plan, draft, and compliance-check a complete evidence-grounded rebuttal from a confirmed baseline. Autorebuttal is an agent skill from Optima-CityU/LLM4AD_Next. Automatically plan, draft, and compliance-check a complete evidence-grounded rebuttal from a confirmed baseline.
Autorebuttal fits situations like: tasks that involve Regulatory compliance.
Run `npx skills add Optima-CityU/LLM4AD_Next --skill autorebuttal -a claude-code`. Or copy the skill folder (skills/autorebuttal/autorebuttal in Optima-CityU/LLM4AD_Next) into .claude/skills/autorebuttal in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Optima-CityU/LLM4AD_Next --skill autorebuttal -a codex`. Or copy the skill folder (skills/autorebuttal/autorebuttal in Optima-CityU/LLM4AD_Next) into .agents/skills/autorebuttal 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 Optima-CityU/LLM4AD_Next --skill autorebuttal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autorebuttal, .gemini/skills/autorebuttal, .github/skills/autorebuttal and .opencode/skills/autorebuttal in your project.
SKILL.md names no scripts, command-line tools or credentials: Autorebuttal 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.
Autorebuttal is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 728 tokens (SKILL.md is roughly 2.9k 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 Autorebuttal: HIPAA Pre-Deployment Compliance Check (maziyarpanahi/openmed, 5.5k stars), Hipaa Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars), ISO Standards Readiness Evidence (K-Dense-AI/scientific-agent-skills, 48k stars) and Iso42001 (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Optima-CityU (a GitHub organization) maintains it in Optima-CityU/LLM4AD_Next, which has 574 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.
Source: Optima-CityU/LLM4AD_Next on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.