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ac-state-tracker交流状态跟踪器

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

356

周安装

15

GitHub Stars

9

下载量

125
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

3

许可证

MIT

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:ac-state-tracker(交流状态跟踪器)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/ac-state-tracker
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill ac-state-tracker
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/adaptationio/skrillz --skill ac-state-tracker

简介

用于跨会话维护开发状态,支持功能追踪、进度记录和断点管理。

  • 适合在自主编码中跟踪特性完成情况、迭代状态和执行日志。
  • 通过初始化 StateTracker 实例并调用 save/load 方法保存或加载项目状态。
  • 安装需使用 npx skills add 命令从指定 GitHub 仓库添加,注意权限与文件读写边界。
  • ac-state-tracker 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

AC State Tracker

Persistent state management for cross-session autonomous coding.

Overview

Maintains all state across sessions:

  • Feature list tracking (passes: false → true)
  • Execution state (iteration, cost, status)
  • Progress logging
  • Handoff packages
  • Checkpoint management

Quick Start

Initialize State Tracker

from scripts.state_tracker import StateTracker

state = StateTracker(project_dir)
await state.initialize()

Save/Load State

# Save current state
await state.save()

# Load state from files
current_state = await state.load()

Update Feature Status

# Mark feature as passing (IMMUTABLE: false → true only!)
await state.update_feature("auth-001", passes=True)

State Files

Primary State Files

project/
├── feature_list.json        # Feature tracking (immutable passes)
├── claude-progress.txt      # Human-readable log
└── .claude/
    ├── master-state.json    # Orchestrator state
    ├── autonomous-state.json # Execution state
    ├── autonomous-log.jsonl  # Activity log
    ├── handoffs/
    │   └── current.json     # Mid-session handoff
    └── checkpoints/
        └── checkpoint-*.json # Rollback points

feature_list.json Schema

{
  "features": [
    {
      "id": "auth-001",
      "description": "User registration endpoint",
      "category": "authentication",
      "status": "completed",
      "passes": true,
      "test_cases": [
        "User can register with email",
        "Validation errors shown"
      ],
      "dependencies": [],
      "estimated_effort": "4h",
      "actual_effort": "2.5h",
      "started_at": "2025-01-15T10:00:00Z",
      "completed_at": "2025-01-15T12:30:00Z"
    }
  ],
  "total": 50,
  "completed": 25,
  "in_progress": 1,
  "blocked": 0
}

CRITICAL RULE: Features can ONLY transition passes: false → true. Never delete or edit features - this prevents the agent from "solving" by removing tasks.

autonomous-state.json Schema

{
  "session_id": "session-20250115-100000",
  "iteration": 12,
  "status": "running",
  "estimated_cost": 4.23,
  "consecutive_failures": 0,
  "current_feature": "auth-002",
  "last_task": "Implement login endpoint",
  "started_at": "2025-01-15T10:00:00Z",
  "context_usage": 0.45
}

master-state.json Schema

{
  "project_id": "my-project",
  "objective": "Build chat application",
  "sessions_used": 5,
  "total_features": 50,
  "features_completed": 25,
  "current_phase": "implementation",
  "last_handoff": "2025-01-15T12:00:00Z"
}

Operations

1. Initialize State

state = StateTracker(project_dir)
await state.initialize()

# Creates default files if not exist
# Loads existing state if present

2. Update Feature

# Mark feature complete
await state.update_feature(
    feature_id="auth-001",
    passes=True,
    actual_effort="2.5h"
)

# Mark feature in progress
await state.update_feature(
    feature_id="auth-002",
    status="in_progress"
)

3. Create Checkpoint

checkpoint = await state.create_checkpoint(
    name="before-refactor",
    git_commit=True
)
# Returns checkpoint ID for rollback

4. Restore Checkpoint

await state.restore_checkpoint("checkpoint-20250115-100000")
# Restores feature_list.json and git state

5. Log Activity

await state.log_activity(
    action="CONTINUE",
    details="Implementing login endpoint",
    iteration=12
)
# Appends to autonomous-log.jsonl

6. Save Handoff

await state.save_handoff({
    "current_feature": "auth-002",
    "context_summary": "Completed auth, starting profile...",
    "next_action": "Implement profile page"
})

7. Get Progress Summary

progress = await state.get_progress()
# Returns:
#   completed: 25
#   total: 50
#   percentage: 50%
#   current_feature: "auth-002"
#   estimated_remaining: "4 hours"

Progress File Format

claude-progress.txt

=== AUTONOMOUS CODING SESSION ===
Project: my-project
Started: 2025-01-15 10:00:00
Sessions: 5

=== PROGRESS ===
[25/50] 50% complete

=== CURRENT FEATURE ===
auth-002: Login with JWT

=== COMPLETED THIS SESSION ===
- auth-001: User registration [PASS]
- auth-002: Login endpoint [IN PROGRESS]

=== BLOCKERS ===
None

=== LAST UPDATED ===
2025-01-15 12:30:00

Integration Points

  • ac-config-manager: Loads paths configuration
  • ac-session-manager: Triggers state save/load
  • ac-autonomous-loop: Updates feature status
  • ac-checkpoint-manager: Creates/restores checkpoints
  • ac-handoff-coordinator: Manages handoff packages

References

  • references/STATE-SCHEMA.md - Complete state schemas
  • references/FEATURE-LIFECYCLE.md - Feature state machine

Scripts

  • scripts/state_tracker.py - Core StateTracker class
  • scripts/feature_manager.py - Feature list operations
  • scripts/checkpoint_store.py - Checkpoint storage
  • scripts/progress_logger.py - Progress file generation

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

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

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

github-copilot

29.35%
按下载量换算37

Claude Code

23.18%
按下载量换算29

mcpjam

15.12%
按下载量换算19

moltbot

12.1%
按下载量换算15

windsurf

6.45%
按下载量换算8

zencoder

2.9%
按下载量换算4

安全审计

Gen Agent Trust Hub

未通过

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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