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 0xmariowu/Autosearch --skill sec_edgargit clone --depth 1 https://github.com/0xmariowu/AutosearchWrote 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/0xmariowu/autosearch/sec_edgar)<a href="https://agentmods.dev/skills/0xmariowu/autosearch/sec_edgar"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/sec_edgar/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/0xmariowu/autosearch/sec_edgar"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/sec_edgar.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 | $0.00035 | $0.00504 |
| Opus 5 | $0.00017 | $0.00252 |
| Sonnet 5 | $0.00007 | $0.00101 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
sec_edgar 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 12d 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.
What it actually says
Overview
SEC EDGAR is the US Securities and Exchange Commission's full-text search across public company filings. For any US-listed company, EDGAR provides authoritative 10-K (annual report), 10-Q (quarterly), 8-K (current event), and proxy or insider filings.
When to Choose It
- Choose it for US company research, especially financial history, risk factors, regulatory disclosures, and management discussion.
- Choose it when a query implies a publicly traded US company, such as a ticker, "SEC filing", "10-K", or "earnings report".
- Avoid it for general tech news, academic papers, or non-US companies.
How To Search
api_searchquerieshttps://efts.sec.gov/LATEST/search-index?q=<query>and mapshits.hits[*]._sourceinto filing evidence. Filing URLs are synthesized fromciks[0]andadshto point at the SEC Archives index page for the exact filing.
Known Quirks
- SEC enforces a User-Agent policy. Every request must carry a contact string or the endpoint may effectively block access.
- The search endpoint returns filing metadata only, not filing-body excerpts. Snippets are synthesized from form type and filing dates.
- Coverage is limited to SEC-registered filers, so pure non-US companies are out of scope unless they file with the SEC.
Quality Bar
- Evidence items have non-empty title and url.
- No crash on empty or malformed API response.
- Source channel field matches the channel name.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 51 lines · 35 tokens per session scan A 2b7054a4c84f
sec_edgar is a skill published in the GitHub repository 0xmariowu/Autosearch (44 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 504 once invoked, about $0.0002 per session on Opus 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.
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