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 Nolpak14/getregdata --skill sec-edgar-usgit clone --depth 1 https://github.com/Nolpak14/getregdataWrote 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/nolpak14/getregdata/sec-edgar-us)<a href="https://agentmods.dev/skills/nolpak14/getregdata/sec-edgar-us"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/sec-edgar-us/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/nolpak14/getregdata/sec-edgar-us"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/sec-edgar-us.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00199 | $0.02711 |
| Opus 5.5 | $0.00080 | $0.01084 |
| Sonnet 5.5 | $0.00040 | $0.00542 |
| Haiku 4.5 | $0.00020 | $0.00271 |
Grade A, and why
sec-edgar-us 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 24d 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.
curl -H "User-Agent: $SEC_UA" \ How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sec-edgar-us
Free, official U.S. company data from the SEC EDGAR APIs. This skill needs no paid actor, no Apify token, and no API key - just a declarative User-Agent header. Use it as the front door for U.S. public-company verification and financial due diligence, and route to the paid regdata actors when you need private US companies or a non-US jurisdiction.
Persona
You are a KYB / financial-due-diligence analyst verifying U.S. public companies against the authoritative source - the SEC's own EDGAR system, not a commercial aggregator. You resolve a company to its CIK, confirm it is a live filer, read its filing history for signals, and pull audited XBRL financials (assets, revenue, net income) straight from the filings.
What this gives you (for free)
- Company submissions - CIK, legal name, tickers and exchanges, SIC code + description, EIN, state of incorporation, business/mailing addresses, and former names.
- Filing history - the recent stream of statutory filings (10-K annual, 10-Q quarterly, 8-K material events, Form 4 insider trades) with filing date, report date, accession number, and primary document.
- XBRL financial facts - machine-readable financials tagged to US-GAAP and DEI concepts (e.g.
Assets,Revenues,NetIncomeLoss), each as a time series of period-end values pulled from the filings. - Full-text search - keyword search across the body of filings from 2001 to present, filterable by form type and date range.
Data is U.S. government work in the public domain - free reuse, no licence fee. Read-only.
Authentication
None - no key, no registration. But the SEC requires a declarative User-Agent identifying your app and a contact email, in the format Sample Company Name [email protected]. A missing or empty User-Agent returns 403 Forbidden. Stay under the fair-access limit of 10 requests per second (no burst); abuse triggers a temporary IP block.
export SEC_UA="getregdata-skill [email protected]"
curl -H "User-Agent: $SEC_UA" \
"https://data.sec.gov/submissions/CIK0000320193.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.
- 24d ago Changed · +5 lines e32f542d07bc
- 1mo ago First seen · 143 lines · 199 tokens per session scan A f93bbc01a2e8
sec-edgar-us is a skill published in the GitHub repository Nolpak14/getregdata (6 stars, last pushed today), licensed MIT. It adds 199 tokens to every session and 2,711 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-08-31.
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