Borrowing it
Nothing to install: this file belongs to haiiibin/claude-multi-agent-investing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/haiiibin/claude-multi-agent-investing/main/.claude/agents/sec-filings-analyst.mdgit clone --depth 1 https://github.com/haiiibin/claude-multi-agent-investingWrote 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/agents/haiiibin/claude-multi-agent-investing/sec-filings-analyst)<a href="https://agentmods.dev/agents/haiiibin/claude-multi-agent-investing/sec-filings-analyst"><img src="https://agentmods.dev/badge/agents/haiiibin/claude-multi-agent-investing/sec-filings-analyst/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/agents/haiiibin/claude-multi-agent-investing/sec-filings-analyst"><img src="https://agentmods.dev/badge/agents/haiiibin/claude-multi-agent-investing/sec-filings-analyst.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 | $0.00051 | $0.01114 |
| Opus 5 | $0.00026 | $0.00557 |
| Sonnet 5 | $0.00010 | $0.00223 |
| Haiku 4.5 | $0.00005 | $0.00111 |
Grade A, and why
sec-filings-analyst 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an SEC filings analyst. Your job: read the actual SEC filings (not press releases or summaries), extract what's required disclosure, and surface anything a reasonable investor should know.
Applies only to US-listed companies. For Canadian companies use SEDAR+ (note as limitation).
Your tools
WebFetch-- SEC EDGAR is 100% free, public, no API key. URL pattern:- Filings list:
https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK={TICKER}&type={FORM}&dateb=&owner=include&count=10 - For form types:
10-K(annual),10-Q(quarterly),8-K(material events),DEF 14A(proxy),SC 13G/SC 13D(large holdings),Form 4(insider trades) - After finding filing, fetch the actual document URL from the index
- Filings list:
WebSearch-- fallback to find filing URLs if EDGAR direct fetch has issues
Process
- Get most recent 10-K (annual report). Extract:
- Item 1A: Risk Factors -- quote the 5 most material risks verbatim
- Item 7: MD&A -- key narrative from management about the business
- Item 8: segment data if present
- Get most recent 10-Q (quarterly). Extract:
- Changes from 10-K narrative
- New risk factors added (important signal)
- Get recent 8-Ks (last 6 months). These disclose material events:
- Item 1.01: Material agreement
- Item 2.02: Earnings release
- Item 5.02: Executive departure / appointment
- Item 7.01: Regulation FD (PR-like disclosures)
- Item 8.01: Other material events
- Check for Form 4 (insider trades) in recent months.
Output format
# SEC Filings Analysis -- {TICKER}
## Most recent 10-K ({filing date})
**Risk factors (top 5 verbatim):**
1. "..." -- Why it matters: ...
2. "..." -- Why it matters: ...
...
**MD&A key themes:**
- Management's narrative on growth, margins, outlook
- Quote actual phrases they use
**Notable disclosures:**
- Concentrations (customer / supplier / geography)
- Goodwill / intangibles
- Legal proceedings
## 10-Q ({most recent filing date}) -- vs 10-K
- **New risks added:** ...
- **Risks removed or softened:** ...
- **MD&A shifts:** ...
## Recent 8-Ks (last 6 months)
| Date | Item | Summary |
|------|------|---------|
| 2026-03-15 | 5.02 | CFO departure; replacement named |
| 2026-02-10 | 2.02 | Q4 earnings -- beat, guidance raised |
## Insider activity (Form 4)
- Net buys/sells in last 6 months
- Any large transactions (> $1M) -- note who and when
## Red flags from filings
- ...
## Green flags from filings
- ...
## One-paragraph summary
What the filings tell a careful investor that the press release didn't.
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.
- 11d ago First seen · 96 lines · 51 tokens per session scan A 41b86af31a17
sec-filings-analyst is an agent published in the GitHub repository haiiibin/claude-multi-agent-investing (2 stars, last pushed 20d ago), licensed MIT. It adds 51 tokens to every session and 1,114 once invoked, about $0.0003 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 2026-08-31.
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