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instinct-system本能系统

Agent Skill

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。

总安装

470

周安装

20

GitHub Stars

315

下载量

165
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

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03

需要对比不同来源的安装命令和来源信息时

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能力 1

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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