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 performance-attributiongit 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/performance-attribution)<a href="https://agentmods.dev/skills/travisun/opptrix/performance-attribution"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/performance-attribution/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/performance-attribution"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/performance-attribution.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 | $0.00060 | $0.00895 |
| Opus 5 | $0.00030 | $0.00447 |
| Sonnet 5 | $0.00012 | $0.00179 |
| Haiku 4.5 | $0.00006 | $0.00089 |
Grade A, and why
performance-attribution 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 5d 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
业绩归因
何时使用
用户要理解 持仓/组合收益由哪些标的或因子贡献，而非一般组合复盘结构。边界：结构与集中度用 @skill:portfolio-review；压力情景用 @skill:stress-test。完整度 partial：非完整 Brinson（缺规范基准与行业配置数据时不做伪 Brinson）；须设 方法局限专节。
分析架构（投研方法）
- 问题/假设：区间收益主要来自哪些持仓？集中贡献是否过高？
- 证据清单：持仓、组合摘要、批量行情（区间若可得）、用户指定基准（可选）
- 多维交叉验证：个股贡献加总 vs 组合摘要；权重 vs 涨跌贡献
- 结论与不确定：贡献分解为模型输出；归因叙事为推断
- 风险与缺口：无成本价/无区间收益、无基准、非完整 Brinson
- 事实 | 假设 | 推断 分栏强制
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 持仓 | get_portfolio_holdings |
无法归因则 not-feasible |
| 摘要 | portfolio_summary |
用明细估算并说明 |
| 诊断 | analyze_portfolio |
可选 |
| 行情 | batch_instrument_snapshots |
仅用持仓内已有盈亏字段 |
| 基准/区间 | ask_user |
不做伪 Brinson；仅持仓贡献 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
步骤
- 确认归因区间与是否有基准。
- 取持仓与摘要；按需批量快照。
- 贡献分解：权重 × 收益（或可用盈亏字段）；列出 Top/Bottom 贡献。
- 方法局限专节：说明非完整 Brinson、基准缺失、交易成本未计入等。
- 交付网页（默认）：
list_web_vendor→create_web；标注 partial。
网页报告建议目录
- 组合范围、区间与时效
- 总收益/盈亏摘要（事实）
- 持仓贡献表与图
- 集中贡献说明
- 方法局限专节
- 事实 | 假设 | 推断分栏
- 风险与缺口
- 免责声明（无调仓建议）
禁止
- 荐股/调仓；假装完整 Brinson 或官方业绩报告
- 编造基准收益
- 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）
- 缺少方法局限专节
- assumption / not-feasible 须诚实降级
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.
- 5d ago First seen · 69 lines · 60 tokens per session scan A dbf27696a786
performance-attribution is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 60 tokens to every session and 895 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 2026-09-03.
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