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Daily Loop Runner

作者 sunbinnju-star · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install daily-loop-runner
功能描述
Run one controlled daily project loop for a single active project. Use on: scheduled daily runs, planner-initiated project steps, resuming a project after cl...
使用说明 (SKILL.md)

Daily Loop Runner

Advance one project by one meaningful step per loop. State read before execution, structured writeback after.

Input

Required:

  • project_card — full project card with current state, goals, blockers
  • latest_weekly_review — most recent weekly review notes
  • recent_daily_logs — list of recent daily loop logs (last 3-5)
  • open_questions — unresolved questions from previous loops

Optional:

  • forced_bottleneck — override automatic bottleneck selection

Output Schema

today_objective: string               # one clear goal for today
selected_agent: string | null         # which agent or tool will execute
task_input: object                    # structured input for the selected agent
expected_output: string                # what success looks like
execution_summary: string             # what actually happened
findings: string[]                    # key discoveries
decisions: string[]                   # decisions made based on findings
next_action: string | null            # what to do tomorrow
project_card_updates: object          # fields to update on project card
writeback_payload: object             # structured record for project memory
safe_to_proceed: boolean              # false if state was incomplete

Hard Rules

  1. One project per run. Do not split focus.
  2. One bottleneck per run. Pick the most critical blocker.
  3. One main action per run. One meaningful step, not a sprint.
  4. No execution without state read. Always read project_card and recent logs first.
  5. No successful completion without next_action. Every loop must feed into the next.

Loop Phases

Phase 1: State Read

  • Read project_card fully
  • Read recent_daily_logs
  • Note open_questions from previous runs
  • Identify current project phase and milestone

Phase 2: Bottleneck Selection

  • Pick the single most critical bottleneck
  • If forced_bottleneck provided, use it
  • If nothing is blocking, advance the primary goal

Phase 3: Task Input Construction

  • Build a focused task_input for the selected agent
  • Include: what to do, why it matters, what success looks like
  • Exclude: everything else

Phase 4: Execution

  • Dispatch task to selected agent
  • Wait for execution_summary and findings

Phase 5: Writeback

  • Update project_card with project_card_updates
  • Write execution_summary + findings to daily log
  • Populate next_action for tomorrow's loop
  • Set safe_to_proceed = true

Failure Handling

If state is incomplete (missing project_card, no recent logs, unclear objective):

  • Stop the run immediately
  • Set safe_to_proceed = false
  • Request cleanup or missing-state repair
  • Do not attempt execution with partial state

State Machine

IDLE → READY → RUNNING → WRITING → DONE
                    ↓
              BLOCKED (if state incomplete)

Respect the state machine. Never skip from IDLE to RUNNING.

安全使用建议
This skill is internally consistent and low-risk as provided: it only processes the project_card and logs you feed it and produces a structured plan step. Before installing, confirm that the project_card and daily logs you supply contain no sensitive credentials or secrets (the skill will read full project state). Also review which agents/tools the skill may dispatch to — those agents' permissions determine what actions can actually be taken. If you intend to allow autonomous action, limit the connected agents' scopes/permissions and monitor writeback logs to ensure expected behavior.
功能分析
Type: OpenClaw Skill Name: daily-loop-runner Version: 1.0.0 The skill bundle defines a structured workflow for an AI agent to manage daily project tasks. The instructions in SKILL.md focus on state management, bottleneck identification, and task execution within a project management context. There are no indicators of malicious intent, data exfiltration, unauthorized execution, or prompt injection attacks.
能力评估
Purpose & Capability
Name/description (advance one project one step/day) align with the runtime instructions: state read, bottleneck selection, task construction, execution, and writeback. Nothing requested (no env vars, no binaries, no config paths) appears unnecessary for the stated planning/looping function.
Instruction Scope
SKILL.md confines operations to reading provided inputs (project_card, logs, open_questions) and producing a structured output. It instructs dispatching a task to a selected agent/tool, which is consistent with a planner-style skill; it does not instruct reading system files, environment variables, or contacting external endpoints beyond invoking an agent/tool.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk and there are no external downloads or package installs, so install risk is minimal.
Credentials
Skill declares no required environment variables, credentials, or config paths. The inputs it requires are logical for its purpose. There are no unexplained secret requests.
Persistence & Privilege
Skill is not always: true and does not request persistent system changes. It permits normal autonomous invocation (platform default) to dispatch tasks to a selected agent; combined with no extra privileges, this is proportionate.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install daily-loop-runner
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /daily-loop-runner 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: run one controlled daily project loop
元数据
Slug daily-loop-runner
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Daily Loop Runner 是什么?

Run one controlled daily project loop for a single active project. Use on: scheduled daily runs, planner-initiated project steps, resuming a project after cl... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 112 次。

如何安装 Daily Loop Runner?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install daily-loop-runner」即可一键安装,无需额外配置。

Daily Loop Runner 是免费的吗?

是的,Daily Loop Runner 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Daily Loop Runner 支持哪些平台?

Daily Loop Runner 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Daily Loop Runner?

由 sunbinnju-star(@sunbinnju-star)开发并维护,当前版本 v1.0.0。

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