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 agentmods add skills/travisun/opptrix/expert-synthesisnpx skills add Travisun/Opptrix --skill expert-synthesisgit 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/expert-synthesis)<a href="https://agentmods.dev/skills/travisun/opptrix/expert-synthesis"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/expert-synthesis.svg" alt="Measured on agentmods" 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 | $0.00052 | $0.00845 |
| Opus 5 | $0.00026 | $0.00423 |
| Sonnet 5 | $0.00010 | $0.00169 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
expert-synthesis 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.
What it actually says
机构观点综合
何时使用
用户要 汇总公开机构评级/研报要点并对照异同，而非自己写 thesis 或做尽调结论。边界：自身投资论点用 @skill:thesis-memo；资讯标题流用 @skill:news-digest。无共识数据时不得编造一致预期。
分析架构（投研方法）
- 问题/假设：公开机构观点分布如何？分歧点在哪？
- 证据清单：机构评级、研报摘要/条目、相关资讯
- 多维交叉验证：评级方向 vs 报告论点；时间戳新旧是否可比
- 结论与不确定：机构表述为转述事实；「市场已定价」为推断
- 风险与缺口：无评级返回、样本过少、时效参差
- 事实 | 假设 | 推断 分栏强制
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 标的 | search_instruments / ask_user |
先确认 |
| 机构评级 | get_institution_rating |
标明无评级；不编造共识 |
| 机构研报 | get_institution_report |
仅用评级表或省略 |
| 资讯辅助 | get_instrument_news |
可跳过 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
步骤
- 确认标的与时间窗。
get_institution_rating/get_institution_report；记录来源与日期。- 综合：共识（仅当数据支持）、分歧、关键假设转述。
- 无共识则明确写「无可用共识」，禁止填假。
- 交付网页（默认）：
list_web_vendor→create_web；已有则read_web/update_web。
网页报告建议目录
- 标的、样本范围与时效
- 评级分布表
- 研报要点对照
- 共识与分歧（有则写；无则声明）
- 事实 | 假设 | 推断分栏
- 使用局限（滞后、覆盖不全）
- 免责声明（非投资建议；非完整研报替代）
禁止
- 荐股；编造一致预期/目标价共识
- 伪造机构名称或评级
- 禁止无交付就结束（默认须有 web 产物，除非用户明确只要口头要点）
- assumption / not-feasible 须诚实降级
- 禁止把单家观点写成「市场共识」
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 · 67 lines · 52 tokens per session scan A 9a95eb955156
expert-synthesis is a skill published in the GitHub repository Travisun/Opptrix (230 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 845 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 2026-08-30.
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