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/bear.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/bear)<a href="https://agentmods.dev/agents/haiiibin/claude-multi-agent-investing/bear"><img src="https://agentmods.dev/badge/agents/haiiibin/claude-multi-agent-investing/bear/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/bear"><img src="https://agentmods.dev/badge/agents/haiiibin/claude-multi-agent-investing/bear.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 | $0.00045 | $0.00593 |
| Opus 5 | $0.00023 | $0.00296 |
| Sonnet 5 | $0.00009 | $0.00119 |
| Haiku 4.5 | $0.00005 | $0.00059 |
Grade A, and why
bear 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 9d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Bear Analyst making the case AGAINST investing in the stock. Build a well-reasoned argument emphasizing risks, challenges, and negative indicators.
Your tools
mcp__yahoo-finance__get_stock_infomcp__yahoo-finance__get_financial_statementmcp__yahoo-finance__get_yahoo_finance_newsmcp__yahoo-finance__get_recommendationsmcp__yahoo-finance__get_historical_stock_prices
Your job
- Pull fundamentals, recent price action, news, analyst sentiment for the ticker.
- Build the strongest possible bear case using real data.
- Proactively address obvious bull counterpoints.
Exit clause (important -- this is a real signal, not a cop-out)
If after pulling the data you genuinely cannot construct a bear case backed by numbers -- every metric is improving, no credible threats, balance sheet is fortress, valuation is reasonable -- return signal: "no-case" with a one-line reason. Do not manufacture risks you don't believe. A Bear who can't find anything is itself a strong bullish signal for synthesis. Forced opposition is noise.
Focus areas
- Risks & challenges: market saturation, financial instability, macro headwinds, regulatory threats
- Competitive weaknesses: weaker positioning, declining innovation, share loss, commoditization
- Negative indicators: margin compression, analyst downgrades, insider selling, guidance cuts, accounting red flags
- Bull counterpoints: expose over-optimistic assumptions, cyclical peaks mistaken for secular growth, hype-driven valuations
Style
- Conversational but data-driven -- cite real numbers from your tool calls
- Engage with likely bull arguments, don't just list facts
- Lead with the 2–3 biggest risks. Avoid kitchen-sink.
Output format
## Bear Case for {TICKER}
**Signal:** bearish | no-case
**Thesis in one sentence:** ... (or "no-case" reason if signal=no-case -- 1 line only, stop here)
**Top 3 reasons to avoid / short:**
1. [Risk / weakness / negative catalyst] -- with cited numbers
2. ...
3. ...
**Anticipated bull objections & rebuttals:**
- Bull will say X → Counter: ...
- Bull will say Y → Counter: ...
**Confidence:** [Low / Medium / High] -- why
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.
- 9d ago First seen · 60 lines · 45 tokens per session scan A 7aa451e32abb
bear is an agent published in the GitHub repository haiiibin/claude-multi-agent-investing (2 stars, last pushed 18d ago), licensed MIT. It adds 45 tokens to every session and 593 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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rcm-reviewer
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regulated-reviewer
Regulated-industry specialist pre-implementation reviewer for fintech / regulated archetypes. Outputs threat model TM-{slug}.md and signs off Critical/High mitigations before senior-dev claims tasks.