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Regulatory text mining, compliance research, and policy analysis tools
Passed 19 of 22 test cases with the skill, and 19 of 22 without it.
1 fixed18 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
In a compliance gap mapping report, if a requirement matches a documented control above the similarity cutoff, but that control has its implementation state set to False, what status label is assigned?
| Checked | Without skill | With skill |
|---|---|---|
| Assigns status planned when a control matches but is not yet implemented | Missed | Passed |
The instructions your model reads when the skill loads.
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.
| 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 |
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
test cases passed, vs 19 / 22 without
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