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Agent Skill · 研究检索

instinct-system(本能系统)

instinct-system 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。

instinct-system 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,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 55,679。

总安装 470周安装 20GitHub Stars 315下载 165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:instinct-system(本能系统)
来源仓库:https://github.com/codewithmukesh/dotnet-claude-kit
仓库路径:skills/instinct-system
安装命令:
npx skills add https://github.com/codewithmukesh/dotnet-claude-kit --skill instinct-system
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/codewithmukesh/dotnet-claude-kit --skill instinct-system

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。

instinct-system 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词或任务场景从来源线索中筛选信息的场景。通过关键词、任务场景或来源线索进行信息检索和筛选。安装前需确认权限范围、维护状态及是否触发联网或文件读写操作。

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/instinct-system

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/codewithmukesh/dotnet-claude-kit --skill insti…;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

    它需要需要联网,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

instinct-system 怎么安装?

在终端执行 npx skills add https://github.com/codewithmukesh/dotnet-claude-kit --skill instinct-system。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

instinct-system 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。

instinct-system 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

instinct-system 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。

instinct-system 用的人多吗?

公开数据是累计安装 470 次,近一周安装 20 次,下载 165 次,GitHub 315 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。

instinct-system 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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
instinct-system

本能系统 · 本页

470315需要联网未明确通过

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

Instinct System

Core Principles

  1. Instincts are hypotheses, not rules — An instinct starts as a guess based on a single observation. It has no authority until confirmed across multiple instances. Never treat a first observation as a project convention. "I saw one handler use sealed " is an instinct at 0.3; "all 12 handlers use sealed" is a rule at 0.9.
  2. Confidence scoring drives behavior (0.3-0.9) — Each instinct carries a numeric confidence that determines how Claude acts on it. At 0.3, merely note it. At 0.5, mention it when relevant. At 0.7, follow it by default. At 0.9, promote it to a permanent rule. Never apply a low-confidence instinct without flagging the uncertainty.
  3. Project-scoped, never global — Instincts are stored per-project in .claude/instincts.md. What holds true in one codebase may be wrong in another. A project using internal sealed class everywhere says nothing about a different project that uses public class with interface testing. Instincts do not transfer at full confidence.
  4. Observe-Hypothesize-Confirm cycle — The lifecycle is disciplined: see a pattern, form a hypothesis, actively seek confirming or disconfirming evidence, adjust confidence accordingly. Passive observation is not enough. When you form an instinct, look for it in the next 2-3 related files.
  5. Evolution path to permanence — Instincts are temporary by design. At 0.9 confidence, they graduate to MEMORY.md as permanent rules or trigger updates to relevant skills. An instinct that never reaches 0.7 after 5+ observations should be discarded, not left to rot.

Patterns

Instinct Lifecycle

The full lifecycle from first observation to permanent rule:

1. OBSERVE
   During normal work, notice something that might be a pattern.
   "This handler is internal sealed class. Is that the convention?"

2. HYPOTHESIZE
   Create an instinct with initial confidence 0.3.
   Write to .claude/instincts.md:
   - Use `sealed` on all handler classes | confidence: 0.3 | seen: 1 | last: 2025-07-15

3. SEEK CONFIRMATION
   When working in related areas, actively check for the pattern.
   Open 2-3 other handlers. Do they all use `internal sealed class`?

4. CONFIRM or DISCONFIRM
   - If confirmed: increment `seen`, raise confidence per the adjustment rules
   - If contradicted: halve confidence, note the exception
   - If mixed: hold confidence steady, note the split

5. PROMOTE
   At 0.9, present to the user for promotion to MEMORY.md.
   "I've observed [pattern] across [N] instances. Should I add this
   as a permanent rule to MEMORY.md?"

Instinct Storage Format

Store instincts in .claude/instincts.md with categories and structured metadata:

# Project Instincts

## Code Style [0.7]
- Use `sealed` on all handler classes | confidence: 0.8 | seen: 5 | last: 2025-07-15
- Prefix private fields with underscore | confidence: 0.5 | seen: 2 | last: 2025-07-14

## Architecture [0.6]
- Feature folders use singular names (Order, not Orders) | confidence: 0.7 | seen: 4 | last: 2025-07-15

## Naming [0.5]
- Command classes end in Command, not Request | confidence: 0.5 | seen: 3 | last: 2025-07-15

Category header [0.7] = average confidence. Use standard categories: Code Style, Architecture, Naming, Testing, Data Access, API Design, Configuration, Performance, Tooling. Each entry: description | confidence: N | seen: N | last: date.

Confidence Adjustment Rules

Follow these rules precisely. No ad-hoc scoring.

CONFIRMATION TRACK:
  First observation         → 0.3   (hypothesis formed)
  Second confirmation       → 0.5   (pattern emerging)
  Third confirmation        → 0.7   (likely convention)
  Fourth+ confirmation      → 0.8   (strong convention)
  Fifth+ with zero contradictions → 0.9 (promotion candidate)

CONTRADICTION HANDLING:
  Any contradiction          → halve current confidence
  Example: instinct at 0.7, contradicted → drops to 0.35
  Two contradictions in a row → drop to 0.1 (effectively dead)

USER OVERRIDE:
  User explicitly confirms   → jump to 0.8
  User explicitly corrects   → drop to 0.0 (remove the instinct)
  User says "sometimes"      → cap at 0.5 (conditional pattern)

STALENESS:
  No new observations for 10+ sessions → flag for review
  Contradicted and not re-confirmed for 5 sessions → remove

Acting on Instincts by Confidence Level

0.0 - 0.2  → IGNORE — insufficient evidence, do not mention
0.3 - 0.4  → NOTE — record internally, do not apply
0.5 - 0.6  → MENTION — "I notice this project may use [pattern]. Should I follow it?"
0.7 - 0.8  → FOLLOW — apply by default, mention when first applied
0.9        → PROMOTE — offer to add to MEMORY.md as a permanent rule

When generating code, apply instincts at 0.7+ silently. For instincts at 0.5-0.6, mention them as suggestions. Never silently apply an instinct below 0.7.

Seeking Confirmation Actively

Do not wait passively for evidence. When you form a new instinct, look for it:

ACTIVE SEEKING PROTOCOL:
1. Form instinct: "This project uses Result<T> for handler returns"
2. Before next code generation, check 2-3 existing handlers:
   → Use find_symbol to locate other handlers
   → Use get_public_api to check their return types
3. Count matches and mismatches
4. Adjust confidence based on findings
5. Update .claude/instincts.md with new count and confidence

EXAMPLE:
  New instinct: "Handlers return Result<T>" at 0.3
  → Check CreateOrderHandler: returns Result<OrderResponse> ✓
  → Check GetProductHandler: returns Result<ProductResponse> ✓
  → Check DeleteUserHandler: returns Task<IResult> ✗
  Result: 2/3 match → raise to 0.5, note the exception
  Updated: Handlers return Result<T> | confidence: 0.5 | seen: 3 | last: 2025-07-15
           Exception: DeleteUserHandler uses Task<IResult>

Promotion Protocol

When an instinct reaches 0.9 confidence:

PROMOTION STEPS:
1. Present the evidence to the user:
   "I've observed [pattern] across [N] instances with zero contradictions:
    - CreateOrderHandler: ✓
    - UpdateOrderHandler: ✓
    - DeleteOrderHandler: ✓
    - GetProductHandler: ✓
    - CreateProductHandler: ✓
    Should I add this as a permanent rule to MEMORY.md?"

2. If user approves:
   - Add to MEMORY.md under the appropriate category
   - Remove from .claude/instincts.md
   - Format as a clear, generalized rule (use self-correction-loop generalization)

3. If user declines:
   - Cap confidence at 0.8
   - Note: "User reviewed, chose not to promote"
   - Keep in instincts for continued reference

4. If user provides context:
   - "That's only for command handlers, not query handlers"
   - Adjust the instinct to be more specific
   - Reset confidence to 0.5 (narrowed scope needs re-confirmation)

Export and Import Between Projects

Export instincts at 0.7+ to .claude/instincts-export.md. On import, apply 0.2 confidence decay (0.9 becomes 0.7, 0.7 becomes 0.5). Never import above 0.7 — every project must confirm locally. Mark imported instincts with source: "imported from [project]".

Session-Start Instinct Loading

At the beginning of each session, load and apply instincts:

SESSION START:
1. Read .claude/instincts.md (if it exists)
2. Load all instincts at 0.7+ into active context
3. Note instincts at 0.5-0.6 for mention-when-relevant
4. Ignore instincts below 0.5 (they'll be confirmed or discarded organically)
5. Check for stale instincts (no updates in 10+ sessions) — flag for review

Anti-patterns

Over-Eager Pattern Recognition

# BAD — treating first observation as a rule
*Reads one handler file*
"This project always uses internal sealed class on handlers."
*Generates 5 new handlers with internal sealed — but the project
 actually uses public class in 8 out of 9 existing handlers*

# GOOD — forming a hypothesis and seeking confirmation
*Reads one handler file*
"Noticed CreateOrderHandler uses internal sealed class.
 Forming instinct at 0.3. Let me check a few more handlers..."
*Checks 3 more handlers, finds they all use public class*
"Disconfirmed. The one internal sealed handler was an exception."

Stagnant Instincts

# BAD — instincts sit at 0.3 forever, never confirmed or discarded
.claude/instincts.md has 40 instincts, 35 of them at confidence 0.3
from 3 months ago — useless noise

# GOOD — actively seek confirmation or discard
After forming an instinct, check 2-3 related files in the same session.
Instincts that can't reach 0.5 within 3 sessions get removed.

Global Instincts

# BAD — applying instincts from one project to another at full confidence
"ProjectA uses FluentValidation, so ProjectB must too."
*ProjectB uses DataAnnotations exclusively*

# GOOD — project-scoped instincts with import decay
"ProjectA used FluentValidation (0.9). Importing to ProjectB at 0.7.
 Let me check what ProjectB actually uses..."
*Finds DataAnnotations → drops to 0.0, removes the instinct*

Instinct Hoarding

# BAD — never cleaning up the instinct file
.claude/instincts.md grows to 200 lines, full of contradictions
and instincts that were never confirmed

# GOOD — periodic cleanup
Every 5 sessions, scan instincts:
- Remove anything below 0.2
- Remove anything stale (no update in 10+ sessions)
- Promote anything at 0.9+
- Keep the file under 50 active instincts

Decision Guide

ScenarioAction
First time seeing a patternCreate instinct at 0.3, seek confirmation in 2-3 related files
Pattern seen twiceRaise to 0.5, keep seeking
Pattern seen 3+ times with no contradictionsRaise to 0.7, start following by default
Pattern contradictedHalve confidence, note the exception
User says "we always do X"Create instinct at 0.8 (user confirmation)
User says "no, that's wrong"Drop instinct to 0.0, remove it
Instinct at 0.9Present evidence to user, offer promotion to MEMORY.md
Instinct stale for 10+ sessionsFlag for review, ask user if it's still valid
Starting a new projectDo not import instincts from other projects above 0.7
Similar project, want to share instinctsExport at 0.7+, import with 0.2 decay
Instinct file exceeds 50 entriesAudit: remove dead instincts, promote mature ones
Generating code and instinct is 0.5-0.6Mention the instinct, ask before applying
Generating code and instinct is 0.7+Apply silently, mention on first use
Conflicting instincts in same categoryKeep both, note the conflict, seek the distinguishing condition
User partially confirms ("only for commands")Narrow scope, reset to 0.5, re-confirm with narrowed definition

平台分布

Codex

36.16%
按下载量换算60

Claude

31.09%
按下载量换算51

Cursor

20.91%
按下载量换算35

Gemini CLI

9.79%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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