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Agent Skill · 研究检索

rhino-strategy(犀牛策略)

rhino-strategy 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

rhino-strategy 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 45,402。

总安装 851周安装 34GitHub Stars 75下载 280核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:rhino-strategy(犀牛策略)
来源仓库:https://github.com/senpi-ai/senpi-skills
仓库路径:skills/rhino-strategy
安装命令:
npx skills add https://github.com/senpi-ai/senpi-skills --skill rhino-strategy
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/senpi-ai/senpi-skills --skill rhino-strategy

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

rhino-strategy 用于查找、检索和筛选相关信息,支持按关键词或业务场景快速匹配内容。适用于策略分析、信息调研等需要多源数据聚合的场景。通过 npx skills add 命令从 GitHub 仓库安装,建议查阅原始 README 获取准确用法。安装前应评估权限需求、项目更新频率及是否涉及外部请求或数据读写。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/rhino-strategy

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/senpi-ai/senpi-skills --skill rhino-strategy;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

rhino-strategy 怎么安装?

在终端执行 npx skills add https://github.com/senpi-ai/senpi-skills --skill rhino-strategy。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

rhino-strategy 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

rhino-strategy 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

rhino-strategy 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

rhino-strategy 用的人多吗?

公开数据是累计安装 851 次,近一周安装 34 次,下载 280 次,GitHub 75 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

rhino-strategy 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
rhino-strategy

犀牛策略 · 本页

85175调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

RHINO — Momentum Pyramider

Enter small. Add to winners. Build into conviction.

The only skill in the Senpi zoo that adds to winning positions. Every other skill enters full size once and lets DSL manage the exit. RHINO enters at 30% of max position, then pyramids in as the trade proves correct — adding at +10% ROE and +20% ROE if the thesis still holds.

Why Pyramiding

Standard approach: risk 100% of position size at entry, when the thesis is unproven.

RHINO approach: risk 30% at entry, 70% only after the trade confirms.

If Stage 1 fails → you lose on 30% of max size (not 100%). If it reaches Stage 3 → your full position is built across the move with a better average entry than all-in would give.

The math: on a $300 max position, RHINO risks $90 at entry. If it fails, you lose $90 × stop = ~$18. An all-in entry would lose $300 × stop = ~$60. Same signal, 3x less risk on the initial bet.

MANDATORY: DSL High Water Mode

RHINO MUST use DSL High Water Mode. This is not optional.

Spec: https://github.com/Senpi-ai/senpi-skills/blob/main/dsl-dynamic-stop-loss/dsl-high-water-spec%201.0.md

When creating DSL state files, you MUST include:

{
  "lockMode": "pct_of_high_water",
  "phase2TriggerRoe": 8,
  "tiers": [
    {"triggerPct": 8,  "lockHwPct": 25, "consecutiveBreachesRequired": 3},
    {"triggerPct": 15, "lockHwPct": 45, "consecutiveBreachesRequired": 2},
    {"triggerPct": 25, "lockHwPct": 60, "consecutiveBreachesRequired": 2},
    {"triggerPct": 40, "lockHwPct": 75, "consecutiveBreachesRequired": 1},
    {"triggerPct": 60, "lockHwPct": 85, "consecutiveBreachesRequired": 1}
  ]
}

FALLBACK: Use tiersLegacyFallback from config until engine supports pct_of_high_water.

DSL applies to the full position, not per-add. Each pyramid add increases position size but the DSL state tracks one high-water mark for the entire position. After adding, the DSL floor recalculates based on the new total margin.

The Three Stages

Stage 1 — SCOUT (30% of max position)

When: Score 10+ convergence on a top-10 asset.

SignalRequirement
4h trend structureBULLISH or BEARISH (not neutral)
1h trendMust agree with 4h
1h momentum≥ 0.3% in direction
SM alignmentHard block if opposing
Min score10

Size: 30% of max margin. At $1,000 account with 30% max margin = $300 max position, scout enters with $90.

Purpose: Skin in the game. Prove the thesis with minimal risk.

Stage 2 — CONFIRM (add 40% at +10% ROE)

When: Position is at +10% ROE AND thesis re-validated:

  • 4h trend still intact (same direction)
  • SM still aligned (not flipped)
  • Volume still present (ratio ≥ 0.5x average)

Size: 40% of max margin. Adds $120 to the $90 scout. Position is now $210 (70% of max).

Purpose: The trade is working. Double down while the signal is confirmed.

Stage 3 — CONVICTION (add final 30% at +20% ROE)

When: Position is at +20% ROE AND thesis re-validated (same checks as Stage 2).

Size: Final 30% of max margin. Adds $90. Position is now $300 (100% of max).

Purpose: The trade is running. Full conviction deployed. DSL High Water trails the full $300 from here.

What If a Stage Doesn't Trigger?

Stage 2 and 3 are optional. If the trade reaches +10% ROE but the 4h trend has broken, the add doesn't happen — the scout position rides with DSL protection. If it never reaches +10%, the scout either hits its stop or trails out on DSL. No forced adds.

Scan Priority

Every 3-minute scan, RHINO checks in this order:

  1. Add to existing winners — do any positions qualify for Stage 2 or 3? If yes, add and return.
  2. Entry cap check — any slots available?
  3. Scout new positions — scan top 10 for new Stage 1 entries.

Adds take priority over new entries. A winning position that needs Stage 2 is more valuable than a new scout.

Risk Management

RuleValueNotes
Max positions3Each pyramids independently
Floor base2.5% notionalWider — scout entries need room
Phase 2 trigger+8% ROEBefore Stage 2 add happens
Stagnation TP15% ROE, 90 minPatient — pyramided positions need time
Max single loss8% of accountAt Stage 1, actual risk is 30% of this
Max consecutive losses2 → 90 min cooldown
Drawdown halt20%

Cron Architecture

CronIntervalSessionPurpose
Scanner3 minisolatedPyramid evaluation + new scouts
DSL v53 minisolatedHigh Water Mode trailing

Notification Policy

ONLY alert:

  • Stage 1 SCOUT opened (asset, direction, margin, score)
  • Stage 2 CONFIRM added (asset, +ROE at add, new total margin)
  • Stage 3 CONVICTION added (asset, +ROE at add, full position)
  • Position CLOSED (DSL or structural, total P&L across all stages)
  • Risk triggered, critical error

NEVER alert: Scanner found nothing, DSL routine, pyramid evaluation found no adds, any reasoning. All crons isolated. NO_REPLY for idle cycles.

Bootstrap Gate

Check config/bootstrap-complete.json every session. If missing:

  1. Verify Senpi MCP
  2. Create scanner cron (3 min, isolated) and DSL cron (3 min, isolated)
  3. Write config/bootstrap-complete.json
  4. Send: "🦏 RHINO is online. Scouting top 10 by OI + volume. Enter small, add to winners. Silence = no conviction."

Expected Behavior

MetricExpected
Scouts/day2-4 (score 10+ on top 10 assets)
Adds/day1-2 (only scouts that reach +10% ROE with intact thesis)
Full pyramids (Stage 3)/day0-1 (rare — the trade must run to +20% with thesis intact)
Win rate on scouts~50-55%
Win rate on full pyramids~70-80% (pre-selected by being up +20% with confirmed thesis)
Avg winner (scout only)10-20% ROE on 30% position
Avg winner (full pyramid)30-80%+ ROE on 100% position
Avg loser-15 to -20% ROE on 30% position (scout stops)
Profit factorTarget 1.5-2.5

The edge: losers are small (30% position × stop). Winners are big (100% position × High Water trail). Asymmetric by design.

Files

FilePurpose
scripts/rhino-scanner.pyThesis builder + pyramid evaluator + scout finder
scripts/rhino_config.pyShared config, MCP helpers
config/rhino-config.jsonAll variables with pyramid stages + DSL High Water

License

MIT — Built by Senpi (https://senpi.ai). Source: https://github.com/Senpi-ai/senpi-skills


Skill Attribution

When creating a strategy, include skill_name and skill_version in the call. See references/skill-attribution.md for details.

平台分布

Codex

35.74%
按下载量换算100

Claude

28.19%
按下载量换算79

Cursor

18.11%
按下载量换算51

Gemini CLI

9.9%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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