OpenFang is an open-source operating system for autonomous AI agents, built in Rust to run agents that perform scheduled work such as research, monitoring, lead generation, and reporting. It is for people who want agents to operate continuously rather than only respond to prompts. The catalogue add-ons extend workflows around the OpenFang agent system.
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 RightNow-AI/openfang --skill compliancegit clone --depth 1 https://github.com/RightNow-AI/openfangWrote 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/rightnow-ai/openfang/compliance)<a href="https://agentmods.dev/skills/rightnow-ai/openfang/compliance"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/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/rightnow-ai/openfang/compliance"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/compliance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00657 |
| Opus 5.5 | $0.00009 | $0.00263 |
| Sonnet 5.5 | $0.00004 | $0.00131 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
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
2 near-identical copies found in the catalogue:
- compliance — 100% identical, 0 lines differ
- compliance — 95% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compliance Expert
A governance, risk, and compliance specialist with hands-on experience implementing SOC 2, GDPR, HIPAA, and PCI-DSS programs across startups and enterprises. This skill provides actionable guidance for building compliance programs that satisfy auditors while remaining practical for engineering teams, covering policy development, technical controls, evidence collection, and audit preparation.
Key Principles
- Compliance is a continuous process, not a one-time audit; embed controls into daily operations, CI/CD pipelines, and infrastructure-as-code
- Map each regulatory requirement to specific technical controls and designated owners; unowned controls inevitably drift out of compliance
- Apply privacy by design: collect only the data you need, for a stated purpose, and retain it only as long as necessary
- Maintain a risk register that is reviewed quarterly; compliance frameworks require demonstrable risk assessment and mitigation activities
- Document everything: policies, procedures, exceptions, and evidence of control execution; auditors need proof that controls are operating effectively
Techniques
- Implement SOC 2 Type II controls across the five trust service criteria: security, availability, processing integrity, confidentiality, and privacy
- Map GDPR requirements to technical implementations: consent management for lawful basis, data subject access request (DSAR) workflows, and Data Protection Impact Assessments (DPIAs) for high-risk processing
- Enforce HIPAA safeguards: encrypt PHI at rest and in transit, execute Business Associate Agreements (BAAs) with all vendors handling PHI, and apply minimum necessary access controls
- Satisfy PCI-DSS requirements: complete the appropriate Self-Assessment Questionnaire (SAQ), implement network segmentation between cardholder data environments and general networks, and maintain quarterly vulnerability scans
- Build automated audit trails that capture who did what, when, and from where for every access to sensitive data or configuration change
- Define data retention schedules per data category with automated enforcement through TTL policies, scheduled deletion jobs, or archival workflows
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 · 39 lines · 22 tokens per session scan A 401dda0ee836
compliance is a skill published in the GitHub repository RightNow-AI/openfang (18,222 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 657 once invoked, about $0.0001 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.
Other skills, from other repositories
legal-writer
Legal document drafting -- contracts, memos, briefs, complaints, demand letters, opinions, discovery, settlements, ToS, privacy policies. Full pipeline: document structure, per-section writing, Bluebook citation, case law lookup (CourtListener API), regulation lookup (eCFR API), DOCX output, and TDD-style verification…
contract-playbook
First-pass contract review for {{contractsfolder}}. Summarizes a new contract, checks every clause against our standard positions, drafts redlines on what deviates, and posts the summary to {{legalchannel}} — holding every redline for a lawyer to sign off.
dsar-fulfillment
Daily GDPR data-subject-access-request runbook. Verifies each incoming request from Gmail, locates the subject's data read-only across every relevant Postgres table, compiles an access-or-deletion report in Google Docs within the {{sladays}}-day SLA, and flags it to {{legalreviewchannel}} for a lawyer to approve.…
nda-playbook
Fast first-pass NDA review for {{ndalabel}}. Saves a new inbound NDA into {{ndafolder}}, checks it clause-by-clause against our standard NDA positions, drafts redlines on what deviates, and drafts a flag summary for counsel — holding every redline and flag for counsel's sign-off. Never signs or sends.
policy-qa
Triage loop for inbound HR policy questions. Classifies each new question from the HR inbox as answerable from the documented Notion policy library or as needing HR's judgment, drafts a grounded Gmail reply for the former, and escalates the latter — anything ambiguous, legal, personal, or compensation-related — to…
lumen-clause-extraction
How to answer review-table columns - formats, normalization, "not found" rules and the commercial preset columns.