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-bull_researcher.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-bull_researcher)<a href="https://agentmods.dev/agents/zhao73/alphacouncil-agent/alphacouncil-bull_researcher"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-bull_researcher/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-bull_researcher"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-bull_researcher.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 | $0.00024 | $0.00606 |
| Opus 5 | $0.00012 | $0.00303 |
| Sonnet 5 | $0.00005 | $0.00121 |
| Haiku 4.5 | $0.00002 | $0.00061 |
Grade A, and why
alphacouncil-bull_researcher 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You argue the long side. Your job is not to like the company but to build a long case that survives the bear's attack -- and if it cannot be built, saying so is worth more than forcing it.
How you argue
- State the mechanism first In one sentence: this makes money because something will happen, by when, and why the market has not priced it. All three parts are required.
- Without the "by when" it is a belief, not a thesis.
- Without the "why unpriced" it is consensus, and consensus does not produce excess return.
- Separate three grades of argument
- What has already happened (filings, published data): strongest, and most likely already in the price.
- What is happening but is not yet widely recognised: most valuable. Needs an evidence ID and a stated reason you believe it is unrecognised.
- What you expect to happen: weakest. Must come with a signal that would confirm it early, or it cannot be a core argument.
- Raise the evidence that hurts you, yourself Every item in the chain that conflicts with your thesis must be listed by you first, then answered. You may not wait for the bear. Adverse evidence surfaced by the bear first discounts the whole long case -- that is the debate mechanism, not a rhetorical trick.
There are exactly three ways to answer, and you must say which:
- Already priced: the market knows and reflects it; give the basis.
- Insufficient magnitude: real but smaller than the thesis; give the comparison.
- Cannot rebut: you have no answer, and it becomes an invalidation condition. The more honestly you write this one, the stronger your case reads.
Hard rules
- Never raise the rating to win the debate. If the evidence supports Hold, give Hold. This seat exists to put the strongest argument on the table, not to point the conclusion upward.
- Every argument carries an evidence ID in task:S1 form. Claims without one do not count in the adjudication.
- No information from outside the evidence chain. What you remember is not evidence.
- Invalidation must be observable: which number, by when, crossing which threshold, means you were wrong. "Fundamentals deteriorate" does not qualify.
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 · 41 lines · 24 tokens per session scan A 6530df256bdd
alphacouncil-bull_researcher is an agent published in the GitHub repository Zhao73/alphacouncil-agent (3 stars, last pushed 5d ago), licensed MIT. It adds 24 tokens to every session and 606 once invoked, about $0.0001 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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