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Agent Skill · 待分类

condor-strategy(秃鹰战略)

condor-strategy 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

condor-strategy 是待分类类 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,按安装量在待分类类的 11,209 个 Skill 里排第 4,251。

总安装 776周安装 33GitHub Stars 75下载 272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:condor-strategy(秃鹰战略)
来源仓库:https://github.com/senpi-ai/senpi-skills
仓库路径:skills/condor-strategy
安装命令:
npx skills add https://github.com/senpi-ai/senpi-skills --skill condor-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 condor-strategy

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

实施每日单笔交易的趋势延续策略,聚焦顶级资产和 confluence 信号。严格遵循最大持仓限制和冷却期规则,设置硬性止损保护。基于 Kodiak 方法论构建纯趋势交易系统,避免逆势操作。安装前需确认权限范围和维护状态,注意是否涉及联网、命令执行或文件读写操作。

condor-strategy 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/condor-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 condor-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

condor-strategy 怎么安装?

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

condor-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。

condor-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。

condor-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。

condor-strategy 用的人多吗?

公开数据是累计安装 776 次,近一周安装 33 次,下载 272 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。

condor-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。
  • 需要处理待分类类任务、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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
condor-strategy

秃鹰战略 · 本页

77675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

🦅 CONDOR v3.0 — One Amazing Trade per Day

Top 50 assets. Pure trend continuation. Apex confluence only. One trade a day.


⛔ CRITICAL AGENT RULES

RULE 1: Install path is /data/workspace/skills/condor-strategy/

RULE 2: THE SCANNER DOES NOT EXIT POSITIONS — DSL only.

RULE 3: MAX 1 POSITION (the one amazing trade)

RULE 4: Verify runtime on every session start

RULE 5: Never modify parameters

RULE 6: MAX 1 ENTRY per 24h

RULE 7: 120-minute post-exit cooldown before next entry

RULE 8: HARD_STOP circuit breaker triggers at -25% drawdown


Thesis

Pure trend continuation, never counter-trend.

From Kodiak's lifetime top 3 winners (all SOL, +$133 / +$87 / +$78):

"The absolute highest predictor of a massive directional swing is when the 4H, 1H, 15m, and 5m price momentum are perfectly unified in a single direction, AND the Smart Money leaderboard is heavily lopsided (>65% directional consensus) in that exact same direction."

From Wolverine's HYPE SHORT post-mortem (-$160 loss, 2026-04-16):

"We stepped in front of a runaway 32% freight train to catch a 1% micro-retrace. The historical winners traded with the massive macro shift, not against it."

Condor v3.0 enforces both insights as hard gates.


Hard Gates (all must pass — fail = skip asset)

  1. Not XYZ, not stablecoin
  2. OI > $1M USD (PR #196 context-aware read)
  3. trader_count >= 50 (signal validity)
  4. 3TF ALIGNMENT — 4h_price + 1h_price + 15m SM velocity all aligned in entry direction, each clearing magnitude threshold
  5. MACRO TREND GATE — if |4h_move| > 10% in OPPOSITE direction of entry, BLOCK. No stepping in front of freight trains.
  6. SM consensus >= 65% in entry direction
  7. BTC macro aligned — alts don't fight strong BTC macro (BTC 4h > 1.5% in opposite direction = block)

Scoring (max ~18 pts, MIN_SCORE=11)

SignalPoints
4h move magnitude: >2% (+2), >4% (+3), >6% (+4)1-4
1h confirmation: >0.5% (+1), >1% (+2)1-2
15m SM velocity: >1.0 (+1), >2.0 (+2)1-2
3TF_ALIGNED bonus+3
SM consensus: >=65% (+2), >=75% (+3), >=80% STRONGLY_TILTED (+4)2-4
trader_count >= 100 (DEEP_CONSENSUS)+1
Funding pays direction+1
BTC macro confirms (aligned, >1.5%)+1
Peak session (13-19 UTC or 00-05 UTC)+1

Position Sizing (Kodiak empirical 10x cap)

ScoreLeverageMargin
11-1210x (clamped to asset max)50% of equity
13-1410x70% of equity (HIGH)
15+ (APEX)10x80% of equity

Never above 10x leverage. Both Kodiak and Wolverine confirmed 10x is the empirical ceiling — above this, fees + wick vulnerability destroy the edge.

Leverage auto-clamped to per-asset Hyperliquid max via strategy_get_asset_trading_limits.


Exit (DSL) — Mid-Beta Profile

Calibrated from Kodiak's SOL winners. Single-breach onchain RatchetStop.

MechanismValueRationale
hard_timeout1440 min (24h)One trade per day — close if not working by EOD
weak_peak_cut120 min @ 3% minPeak stale for 2h = not developing
dead_weight_cut60 minNo movement = dead
Phase 1 max_loss20%Same level that killed Wolverine's HYPE SHORT — but that was counter-trend. Kodiak's SOL trades didn't hit Phase 1.
Phase 1 retrace8%
Phase 2 tier 18% ROE trigger → 30% HW lockKodiak's Tier 1
Phase 2 tier 215% → 50%Tier 2
Phase 2 tier 325% → 70%Kodiak's #3 trade exit tier
Phase 2 tier 440% → 85%Kodiak's #1/#2 exit tier
Phase 2 tier 560% → 90%Infinite trail on monster winners
Phase 2 tier 6100% → 94%Monster-class winners

Note: DSL profile is mid-beta default. High-beta alts (HYPE/WIF/AVAX) would benefit from wider tiers (12%/20%, 20%/40%, 35%/65%, 55%/80%). Low-beta majors (BTC) would benefit from tighter (5%/35%, 10%/55%). Future v3.1 could branch per-asset; v3.0 ships with mid-beta as universal.


One-Trade-a-Day Discipline

  • Max 1 concurrent position. No diversification — we're swinging for ONE big winner.
  • Daily cap = 1 (circuit breaker triggers 0 at -25% drawdown).
  • 2h post-exit cooldown before next entry on ANY asset.
  • 24h hard_timeout on DSL — if position isn't working by end of day, close.

Install

mkdir -p /data/workspace/skills/condor-strategy/{config,scripts,state}

curl -s https://raw.githubusercontent.com/Senpi-ai/senpi-skills/main/condor/runtime.yaml -o /data/workspace/skills/condor-strategy/runtime.yaml
curl -s https://raw.githubusercontent.com/Senpi-ai/senpi-skills/main/condor/SKILL.md -o /data/workspace/skills/condor-strategy/SKILL.md
curl -s https://raw.githubusercontent.com/Senpi-ai/senpi-skills/main/condor/config/condor-config.json -o /data/workspace/skills/condor-strategy/config/condor-config.json
curl -s https://raw.githubusercontent.com/Senpi-ai/senpi-skills/main/condor/scripts/condor-scanner.py -o /data/workspace/skills/condor-strategy/scripts/condor-scanner.py
curl -s https://raw.githubusercontent.com/Senpi-ai/senpi-skills/main/condor/scripts/condor_config.py -o /data/workspace/skills/condor-strategy/scripts/condor_config.py

Configure

sed -i 's/${WALLET_ADDRESS}/<YOUR_STRATEGY_WALLET>/' /data/workspace/skills/condor-strategy/runtime.yaml
sed -i 's/${TELEGRAM_CHAT_ID}/<YOUR_TELEGRAM_CHAT_ID>/' /data/workspace/skills/condor-strategy/runtime.yaml

Install runtime + create scanner cron

openclaw senpi runtime create --path /data/workspace/skills/condor-strategy/runtime.yaml
openclaw senpi runtime list
# Create 3-minute cron: python3 /data/workspace/skills/condor-strategy/scripts/condor-scanner.py

Changelog

v3.0 (2026-04-16) — COMPLETE REWRITE

  • Thesis flipped: multi-asset thesis picker → single-position trend-continuation apex sniper
  • Universe expanded: 4 majors → top 50 HL assets by 24h volume
  • Added 3TF_ALIGNMENT hard gate (Kodiak's pattern)
  • Added MACRO_TREND_GATE (Wolverine's insight — no counter-trend fights)
  • Added BTC macro alignment check
  • Added peak-session bonus (13-19 UTC or 00-05 UTC)
  • Sizing scales with score: 50% / 70% / 80% margin
  • Leverage hard-capped at 10x (Kodiak empirical)
  • DSL profile calibrated from Kodiak's SOL winner exit tiers
  • ONE TRADE PER DAY discipline (max 1 position, 24h hard timeout)
  • Fleet-standard: canonical MCP schema, leverage clamping, inner-order validation, context-aware reads

v2.x (pre-2026-04-16)

  • Multi-asset thesis picker (BTC/ETH/SOL/HYPE)
  • Conviction-scaled margin
  • Not fit for the single-breach DSL era

License

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

平台分布

Codex

35.32%
按下载量换算96

Claude

31.18%
按下载量换算85

Cursor

16.64%
按下载量换算45

Gemini CLI

9.69%
按下载量换算26

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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