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 wentorai/research-plugins --skill regulatory-compliance-guidegit clone --depth 1 https://github.com/wentorai/research-pluginsWrote 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/wentorai/research-plugins/regulatory-compliance-guide)<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.
<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>- 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 | $0.00018 | $0.02163 |
| Opus 5 | $0.00009 | $0.01081 |
| Sonnet 5 | $0.00004 | $0.00433 |
| Haiku 4.5 | $0.00002 | $0.00216 |
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) 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()
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.
- 7d ago First seen · 268 lines · 18 tokens per session scan A 75ddfed832c3
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.
Other skills, from other repositories
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.
regulatory-research-fallback
Fallback workflow for regulatory research when web extraction tools fail on government PDFs.
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.
gesellschaftsrechtliche-satzungen-agb
Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.
memstack-business-gdpr
Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…
nda-review
Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…