AuC is a Python framework for running a single AI agent with an asynchronous, pluggable reasoning loop, language-model adapters, permission levels, and observable events. It is used to build coding and conversational agents with tools, security checks, web interfaces, background jobs, evaluations, and isolated execution. The catalogue entries are skills for extending its agent workflow.
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 ufy2024/AuC --skill hipaa-compliancegit clone --depth 1 https://github.com/ufy2024/AuCWrote 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/ufy2024/auc/hipaa-compliance)<a href="https://agentmods.dev/skills/ufy2024/auc/hipaa-compliance"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/hipaa-compliance/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/ufy2024/auc/hipaa-compliance"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/hipaa-compliance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 21 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00047 | $0.00864 |
| Opus 5.5 | $0.00019 | $0.00346 |
| Sonnet 5.5 | $0.00009 | $0.00173 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
hipaa-compliance 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.
Copies of this mod
5 near-identical copies found in the catalogue:
- hipaa-compliance — 91% identical, 29 lines differ
- hipaa-compliance — 91% identical, 29 lines differ
- hipaa-compliance — 91% identical, 29 lines differ
- hipaa-compliance — 89% identical, 28 lines differ
- hipaa-compliance — 89% identical, 28 lines differ
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HIPAA Compliance
Use this as the HIPAA-specific entrypoint when a task is clearly about US healthcare compliance. This skill intentionally stays thin and canonical:
healthcare-phi-complianceremains the primary implementation skill for PHI/PII handling, data classification, audit logging, encryption, and leak prevention.healthcare-reviewerremains the specialized reviewer when code, architecture, or product behavior needs a healthcare-aware second pass.security-reviewstill applies for general auth, input-handling, secrets, API, and deployment hardening.
When to Use
- The request explicitly mentions HIPAA, PHI, covered entities, business associates, or BAAs
- Building or reviewing US healthcare software that stores, processes, exports, or transmits PHI
- Assessing whether logging, analytics, LLM prompts, storage, or support workflows create HIPAA exposure
- Designing patient-facing or clinician-facing systems where minimum necessary access and auditability matter
How It Works
Treat HIPAA as an overlay on top of the broader healthcare privacy skill:
- Start with
healthcare-phi-compliancefor the concrete implementation rules. - Apply HIPAA-specific decision gates:
- Is this data PHI?
- Is this actor a covered entity or business associate?
- Does a vendor or model provider require a BAA before touching the data?
- Is access limited to the minimum necessary scope?
- Are read/write/export events auditable?
- Escalate to
healthcare-reviewerif the task affects patient safety, clinical workflows, or regulated production architecture.
HIPAA-Specific Guardrails
- Never place PHI in logs, analytics events, crash reports, prompts, or client-visible error strings.
- Never expose PHI in URLs, browser storage, screenshots, or copied example payloads.
- Require authenticated access, scoped authorization, and audit trails for PHI reads and writes.
- Treat third-party SaaS, observability, support tooling, and LLM providers as blocked-by-default until BAA status and data boundaries are clear.
- Follow minimum necessary access: the right user should only see the smallest PHI slice needed for the task.
- Prefer opaque internal IDs over names, MRNs, phone numbers, addresses, or other identifiers.
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 · 99 lines · 47 tokens per session scan A f7577956a365
hipaa-compliance is a skill published in the GitHub repository ufy2024/AuC (1,073 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 864 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 2026-09-03.
Other skills, from other repositories
fto-triage
Freedom-to-operate triage — a structured first look at potentially blocking patents, not an FTO opinion. Use when a product, process, or feature is being evaluated for blocking patents, when asked whether anything stops a launch, or to build a claim-chart first pass against the most plausible patents before patent…
legal-hold
Issue, refresh, release, or report on legal holds — drafts the hold notice as .docx, updates legalhold fields in log.yaml, and calendars the next refresh. Use when the user says "issue a hold", "refresh hold", "release hold", or asks for a portfolio-wide hold status report.
specification-writing
A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.
terms-of-service
Draft terms of service and a companion privacy notice matched to the product's form and feature modules, not legal advice, delivered as a Word document.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
regulatory-research-fallback
Fallback workflow for regulatory research when web extraction tools fail on government PDFs.