regulatory-compliance-guide

regulatory-compliance-guide is a skill for Claude Code, Codex from wentorai/research-plugins. It costs 18 tokens per session (2,163 once invoked), scanned A, original, MIT.

A guide to researching regulations and compliance using government legal databases and text-analysis methods.

In plain words
What is it for?
Use it to search rules, parse legal language, detect changes, perform compliance gap analysis, and analyse policy data.
Why use it?
It helps locate regulatory requirements, track changes, and compare rules with an organisation's practices.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to search rules, parse legal language, detect changes, perform compliance gap analysis, and analyse policy data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wentorai/research-plugins/regulatory-compliance-guide
Install

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.

Any agent
npx skills add wentorai/research-plugins --skill regulatory-compliance-guide
Clone the repo
git clone --depth 1 https://github.com/wentorai/research-plugins

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for regulatory-compliance-guide

README.md
[![agentmods](https://agentmods.dev/badge/skills/wentorai/research-plugins/regulatory-compliance-guide/github.svg)](https://agentmods.dev/skills/wentorai/research-plugins/regulatory-compliance-guide)
Your own site
<a href="https://agentmods.dev/skills/wentorai/research-plugins/regulatory-compliance-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/regulatory-compliance-guide/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.

agentmods 80×15 button for regulatory-compliance-guide

Your own site · 80×15
<a href="https://agentmods.dev/skills/wentorai/research-plugins/regulatory-compliance-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/regulatory-compliance-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,163 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.02163
Opus 5 $0.00009 $0.01081
Sonnet 5 $0.00004 $0.00433
Haiku 4.5 $0.00002 $0.00216

Measured 7d ago against content hash 75ddfed832c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

regulatory-compliance-guide scanned grade A with 1 finding 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 7d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

resp = requests.get(f"{self.BASE_URL}/documents", params=params)
skills/domains/law/regulatory-compliance-guide/SKILL.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Regulatory Compliance Guide

A skill for mining regulatory texts, tracking regulatory changes, and conducting compliance research. Covers accessing regulatory databases, parsing regulatory language, change detection in regulations, compliance gap analysis, and computational policy analysis.

Regulatory Data Sources

US Federal Regulatory Data

Source Content Format Access
Federal Register API Proposed and final rules JSON API Free (federalregister.gov)
eCFR (Electronic CFR) Current Code of Federal Regulations XML + API Free (ecfr.gov)
Regulations.gov Public comments on rulemakings JSON API Free
Congress.gov Bills and legislative history API + bulk Free
SEC EDGAR Securities filings and no-action letters Full-text search + API Free

Accessing Federal Register Data

import requests
from datetime import date, timedelta

class FederalRegisterClient:
    """Client for the Federal Register API."""

    BASE_URL = "https://www.federalregister.gov/api/v1"

    def search_rules(self, query: str, agency: str = None,
                     date_from: str = None, per_page: int = 20) -> dict:
        """
        Search for rules and proposed rules in the Federal Register.
        """
        params = {
            "conditions[term]": query,
            "conditions[type][]": ["RULE", "PRORULE"],
            "per_page": per_page,
            "order": "newest",
        }
        if agency:
            params["conditions[agencies][]"] = agency
        if date_from:
            params["conditions[publication_date][gte]"] = date_from

        resp = requests.get(f"{self.BASE_URL}/documents", params=params)
        data = resp.json()
        return {
            "count": data.get("count", 0),
            "results": [
                {
                    "title": r["title"],
                    "document_number": r["document_number"],
                    "publication_date": r["publication_date"],
                    "agency_names": r.get("agency_names", []),
                    "type": r["type"],
                    "abstract": r.get("abstract", ""),
                    "html_url": r["html_url"],
                }
                for r in data.get("results", [])
            ],
        }

    def get_document(self, document_number: str) -> dict:
        """Retrieve full document details by document number."""
        resp = requests.get(
            f"{self.BASE_URL}/documents/{document_number}.json"
        )
        return resp.json()

Read the full file on GitHub · 268 lines

Changes

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.

  1. 7d ago First seen · 268 lines · 18 tokens per session scan A 75ddfed832c3

Subscribe to this mod's changes

regulatory-compliance-guide is a skill published in the GitHub repository wentorai/research-plugins (291 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 2,163 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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