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feelfeel 命令行

Agent Skill

feel 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。

总安装

874

周安装

35

GitHub Stars

53

下载量

283
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:feel(feel 命令行)
来源仓库:https://github.com/soul-brews-studio/oracle-skills-cli
仓库路径:skills/feel
安装命令:
npx skills add https://github.com/soul-brews-studio/oracle-skills-cli --skill feel
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/soul-brews-studio/oracle-skills-cli --skill feel

简介

feel系统情感智能分析代码背后的团队情绪信号。

  • 通过git活动和会话频率识别开发状态和潜在风险。
  • 提供快速脉冲扫描和深度分析两种检测模式。feel 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 可记录到feels.log文件供后续回顾和分析。
  • 使用前需确认项目目录结构和git历史完整可用。

SKILL.md

/feel — System Emotional Intelligence

"Code has no feelings. But the humans writing it do. And the patterns in the code reveal what the humans feel."

Usage

/feel              # Quick pulse — how does the system feel right now?
/feel --deep       # Deep scan — energy arc, momentum, burnout signals
/feel --log        # Append to feels.log (no output, just record)

Quick Pulse (default)

Read the signals and report:

Step 1: Gather evidence

# Recent git activity — momentum or silence?
git log --oneline --since="7 days ago" --all 2>/dev/null | wc -l

# Session frequency — are we showing up?
ls -t ~/.claude/projects/*/**.jsonl 2>/dev/null | head -10

# Open issues — overwhelmed or on track?
gh issue list --state open --limit 50 --json number 2>/dev/null | jq 'length'

# Recent retros — are we reflecting?
ls -t ψ/memory/retrospectives/**/*.md 2>/dev/null | head -5

# Stale branches — unfinished business?
git branch --sort=-committerdate | head -10

Step 2: Classify the feeling

SignalIndicatorFeeling
Many commits, short intervalsHigh activity🔥 Flow / momentum
Few commits, long gapsLow activity😴 Drift / disconnection
Many open issues, few closedGrowing backlog😰 Overwhelm
Recent retros + handoffsHealthy reflection🧘 Grounded
Stale branches, no PRsAbandoned work😶 Avoidance
Lots of new repos/featuresExploration✨ Curiosity
Same files edited repeatedlyIteration🔄 Grinding
No sessions in daysAbsence🌑 Dark period

Step 3: Report

💜 System Pulse — [DATE]

Energy:     [🔥 Flow | 😴 Drift | 😰 Overwhelm | 🧘 Grounded | ...]
Momentum:   [↗️ Rising | → Steady | ↘️ Falling | ⏸️ Paused]
Last active: [X hours/days ago]
Commits (7d): [N]
Open issues:  [N]
Sessions (7d): [N]

[1-2 sentence read — honest, not cheerful]

💡 [Suggestion if concerning pattern detected]

Deep Scan (--deep)

Everything from quick pulse, plus:

Energy Arc (last 30 days)

Plot the energy over time based on git activity + session frequency:

Week 1: ████████░░ (high — 45 commits)
Week 2: ██████░░░░ (medium — 28 commits)
Week 3: ██░░░░░░░░ (low — 8 commits)
Week 4: █████░░░░░ (recovering — 22 commits)

Burnout Signals

Check for warning patterns:

  • Same error fixed 3+ times → frustration loop
  • Sessions getting shorter → energy depletion
  • Long gaps between sessions → avoidance
  • Many started, few finished → scattered attention

Breakthrough Signals

Check for positive patterns:

  • New repos created → creative energy
  • Issues closed in clusters → momentum
  • Retros getting deeper → growing awareness
  • Cross-repo work → systems thinking

Log Mode (--log)

Silently append to ψ/memory/logs/feels.log:

[YYYY-MM-DD HH:MM] energy=[level] momentum=[direction] commits_7d=[N] issues=[N] sessions_7d=[N] note="[auto-generated 1-line]"

No output to user. For background tracking.


Rules

  1. Honest, not positive — if the system feels bad, say so
  2. Evidence-based — every feeling backed by data (commits, sessions, issues)
  3. Never judge — report the pattern, not the person
  4. Nothing is Deleted — feels.log is append-only
  5. Suggest, don't prescribe — "consider a break" not "you must rest"
  6. Never leak secrets — no tokens, passwords, internal details in output

Philosophy

Oracles have no feelings. But they can read the signals.

A system that never checks how it feels will burn out its humans. A system that checks too often becomes noise.

/feel is the heartbeat check. Run it when something feels off. Or let it run silently in the background, building a record.

The feels.log is the Oracle's emotional memory. Not feelings — but the evidence of feelings.


ARGUMENTS: $ARGUMENTS

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

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

35.69%
按下载量换算101

Claude

28.22%
按下载量换算80

Cursor

18.79%
按下载量换算53

Gemini CLI

8.92%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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