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 Travisun/Opptrix --skill multi-role-research-councilgit clone --depth 1 https://github.com/Travisun/OpptrixWrote 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/travisun/opptrix/multi-role-research-council)<a href="https://agentmods.dev/skills/travisun/opptrix/multi-role-research-council"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/multi-role-research-council/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/travisun/opptrix/multi-role-research-council"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/multi-role-research-council.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00157 | $0.02491 |
| Opus 5 | $0.00078 | $0.01246 |
| Sonnet 5 | $0.00031 | $0.00498 |
| Haiku 4.5 | $0.00016 | $0.00249 |
Grade A, and why
multi-role-research-council 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 6d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
投资研讨团
何时使用
用户要对单只股票/标的走 Opptrix 投资研讨团多角色互评流程：多空辩论 + 风险视角交叉，最终交付综合研究报告（默认可预览网页）。触发词含：投资研讨团、多角色研讨、多空辩论、研究委员会、研讨链、TradingAgents、/投资研讨团、/多角色研讨。用户若提到 TradingAgents，也走本技能（仅作触发别名，不得作为报告品牌）。
边界（勿硬跳转其他技能）：
- 只要单人尽调长文、不要辩论链 → 说明本技能侧重互评；用户坚持单人路径时可口头改做尽调要点，不要硬写
`@skill:equity-deep-dive` - 只要空头情景、不要完整研讨链 → 可缩小为 Bear 侧攻击表，不要硬写
`@skill:bear-case` - 只要现价/快照 → 不要激活本技能
可引用 `@skill:create-web` 补齐 HTML 交付规范。
交付与署名（硬性）
- 报告元信息、页眉/页脚、固定免责声明须写 「Opptrix投资研讨团流程」（或「由 Opptrix 投资研讨团流程生成」）
- 禁止出现「TradingAgents研究会」「TradingAgents 研究会」，或把报告品牌写成 TradingAgents
- 目录与免责声明全文见
references/report-outline.md
分析架构（投研方法）
- 问题/假设：在可得证据下，研究立场更接近看多倾向、看空倾向、均衡，还是证据不足？
- 角色链（固定顺序）：
- 四类分析师（可并行）：行情结构 / 基本面 / 资讯披露 / 资金情绪
- Bull / Bear 辩论（默认 1 轮、最多 3 轮；round≥1 可停）
- research_chair 综合 → 研究立场枚举
- 风险三人（进取 / 中性 / 稳健）两阶段互评
- 父 Agent 汇总 →
create_web
- 研究立场枚举（对用户文案）：
枚举 用户文案 bullish看多倾向 bearish看空倾向 balanced均衡 insufficient_evidence证据不足 - 证据纪律：事实与推断分栏；禁止把研究立场写成买卖/仓位指令
- 编排：全程用父会话
run_subagent；子任务禁止再委派；阶段结束须reclaim_subagent
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 标的定位 | search_instruments / 快照 |
多候选时 ask_user |
| 行情结构 | get_instrument_snapshot / get_instrument_chart / 报价 |
标明无实时价 |
| 基本面 | get_instrument_profile / get_instrument_financials 及三表/指标 |
「暂无该期数据」 |
| 资讯 | list_news_articles → get_news_article |
省略资讯章 |
| 公告披露 | get_instrument_notices → get_notice_content |
省略公告章 |
| 资金情绪 | get_instrument_money_flow / get_market_sentiment / 龙虎榜等（见 A股对照） |
省略资金章 |
| 机构观点（可选） | get_instrument_institution_rating / get_instrument_institution_report |
标明未纳入 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
工具对照详见 get_agent_skill_file(..., path="references/cn-market-playbook.md")。禁止虚构不存在的资讯工具名。
步骤（S0–S7）
S0 — 确认范围与清单
- 确认标的（代码/名称）；多候选
ask_user。 - 读附件：
role-templates.md、result-schemas.json、debate-stop-rules.md、checklist-template.json、report-outline.md、cn-market-playbook.md（经get_agent_skill_file）。 update_research_checklist写入清单模板各项（进行中）。
What ships with it
6 files 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.
- 6d ago First seen · 143 lines · 157 tokens per session scan A 5be6ebb1fb6d
multi-role-research-council is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed 3d ago), licensed Apache-2.0. It adds 157 tokens to every session and 2,491 once invoked, about $0.0008 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 2026-09-03.
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