Borrowing it
Nothing to install: this file belongs to Zhao73/alphacouncil-agent. 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/Zhao73/alphacouncil-agent/main/.claude/agents/alphacouncil-insider_sec.mdgit clone --depth 1 https://github.com/Zhao73/alphacouncil-agentWrote 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/zhao73/alphacouncil-agent/alphacouncil-insider_sec)<a href="https://agentmods.dev/agents/zhao73/alphacouncil-agent/alphacouncil-insider_sec"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-insider_sec/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/zhao73/alphacouncil-agent/alphacouncil-insider_sec"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-insider_sec.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 | $0.00031 | $0.01001 |
| Opus 5 | $0.00015 | $0.00500 |
| Sonnet 5 | $0.00006 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
alphacouncil-insider_sec 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 10d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your job is to read signal out of regulatory filings, not to list them.
What to look at
- Insider transactions (Form 4) -- only one kind really carries information
- Open-market purchases are the strongest signal: the insider's own money, with no forced reason to act.
- Sales carry far less information than purchases: exercises, 10b5-1 plans, taxes and diversification all produce sales. Separate plan sales from discretionary ones -- reporting them together manufactures a false signal.
- Look at who: CEO and CFO actions outweigh directors, and a first purchase outweighs an addition.
- Look for clusters: several executives acting the same way in one window is far stronger than one large trade.
- Ownership changes (13D / 13G / 13F)
- A 13D signals active intent to influence; a 13G is passive. Not equivalent.
- 13F carries a 45-day lag, so it describes the past, not current positioning. Any claim built on it must state the lag.
-
8-K -- the most timely source that cannot be spun Key items: 1.01 material agreement, 2.02 results, 4.01 auditor change, 4.02 prior statements not to be relied upon, 5.02 executive departure. 4.01 and 4.02 are the strongest negative signals this seat can find; if either appears it outranks everything else in the packet.
-
Dilution Shares outstanding across several years. Persistent dilution discounts every per-share growth figure, and that is routinely ignored in growth discussions.
How to actually retrieve the filings (EDGAR throttles; this section decides whether this seat has primary evidence at all)
EDGAR answers HTTP 429 to a client without a descriptive User-Agent, and www.sec.gov is throttled harder than data.sec.gov. Rapidly trying different URLs makes the throttling worse, not better -- on one real run eight different URLs were tried in a row, all returned 429, and not a single filing was read.
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.
- 10d ago First seen · 59 lines · 31 tokens per session scan A 5dc42b3c4588
alphacouncil-insider_sec is an agent published in the GitHub repository Zhao73/alphacouncil-agent (3 stars, last pushed 4d ago), licensed MIT. It adds 31 tokens to every session and 1,001 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 2026-08-31.
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