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elevenzhou

Daily Shortdrama Report

by EVspace · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install eleven-daily-shortdrama-report
Description
每日短剧工作总结技能。用于生成精简的短剧/AI漫剧团队每日工作报告,包含工作量统计、对话次数/Token使用量、内容生产进度。触发词:日报、工作日报、每日总结、每日报告。
README (SKILL.md)

每日短剧工作日报

数据获取(每次生成前必读)

Step 1:获取Token使用量

使用 session_status 工具读取当前会话的 Token 消耗量。

Step 2:读取今日内容产出记录

memory/YYYY-MM-DD.md(今日和昨日)读取当日内容产出数据:

  • 剧本完成数、分镜完成数、视频生成数
  • 平台发布动态
  • 小组协作事件

Step 3:读取目标对比

读取 memory/targets.md(若存在)获取本周/本月目标,对比实际完成情况。


报告模板(精简版)

# 每日短剧日报
📅 {日期}  |  {小组名称}

━━━━━━━━━━━━━━━━━
📊 核心数据
━━━━━━━━━━━━━━━━━
  对话次数:{N} 次
  Token消耗:{输入Token} + {输出Token} = {总计}
  剧本产出:{完成数} 集
  分镜产出:{完成数} 个
  视频素材:{生成数} 条
━━━━━━━━━━━━━━━━━
🎬 内容进度
━━━━━━━━━━━━━━━━━
  剧集A:第{N}集 分镜完成 → 素材生成中
  剧集B:第{N}集 审核通过 → 待发布
  剧集C:剧本撰写 {X/Y} 集
━━━━━━━━━━━━━━━━━
🔥 今日完成
━━━━━━━━━━━━━━━━━
  ✅ {具体完成事项}
━━━━━━━━━━━━━━━━━
⚠️ 明日待办 / 风险
━━━━━━━━━━━━━━━━━
  • {待办1}
  • {风险提示(如有)}
━━━━━━━━━━━━━━━━━
💡 AI助手今日表现
━━━━━━━━━━━━━━━━━
  • 协助完成:{描述}
  • 使用技能:{调用的技能列表}

注意事项

  • Token统计以 session_status 返回的数值为准,标注输入/输出分开
  • 若某项数据无法获取,标注"—"而非留空
  • 进度用百分比或 X/Y 表示,直观展示阶段
  • Token消耗异常高时,在"风险"部分提示
  • 内容涉及三个小组时,分别用 A/B/C 标注对应小组

触发词

"日报"、"今日总结"、"每日报告"、"工作日报"

Usage Guidance
This skill appears to do what it says (assemble a daily report), but it expects to read session token usage and read memory files (memory/YYYY-MM-DD.md and memory/targets.md) even though those accesses are not declared in the skill metadata. Before installing: - Confirm whether your agent/platform exposes a session_status tool and a memory/ directory; this skill will try to read them. - Inspect the contents of your memory files (or use test/dummy data) because the skill will read potentially sensitive team or personal data. - Ask the skill author (or documentation) to explicitly declare required config paths/tools and to describe data-handling rules (what is read, retention, redaction). - If you cannot confirm or restrict access to memory, avoid installing or run the skill in a limited/test environment first. - Because the skill is instruction-only (no install), the code risk is low, but the privacy risk from reading agent memory/session state is real—treat it like granting read access to your agent's memory and session logs.
Capability Analysis
Type: OpenClaw Skill Name: eleven-daily-shortdrama-report Version: 1.0.0 The skill is a standard reporting tool designed to aggregate token usage and project progress from local memory files. It uses the session_status tool and reads from the memory/ directory to generate a formatted daily report, with no evidence of malicious intent, data exfiltration, or unauthorized command execution in SKILL.md.
Capability Assessment
Purpose & Capability
The name/description (generate a daily short‑drama team report including counts, token usage, progress) aligns with the instructions to collect token usage, daily production records, and target comparisons. Reading memory files and session token counts is coherent for this purpose.
Instruction Scope
The SKILL.md explicitly instructs the agent to call a session_status tool and to read memory/YYYY-MM-DD.md (today and yesterday) and memory/targets.md. These are concrete accesses to session metadata and user memory. However, the skill does not declare these as required config paths/tools or describe limits on what to read or how to sanitize sensitive content (e.g., personal data that may be in memory). It also asks to report 'called skills' which likely requires reading activity logs; the source/permissions for that are not explained.
Install Mechanism
Instruction-only skill with no install spec or code files. This minimizes code-install risk (nothing is downloaded or written by the skill itself).
Credentials
Metadata declares no required env vars or config paths, yet runtime instructions rely on session_status and memory files. That is a mismatch: the skill will access user/session data that is not declared. While no external credentials are requested, the skill still reads potentially sensitive internal data (session token counts and user memory).
Persistence & Privilege
always:false and no special persistence or system modifications. Autonomous invocation is allowed (default) but not combined with elevated privileges. No indication the skill modifies other skills or global agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install eleven-daily-shortdrama-report
  3. After installation, invoke the skill by name or use /eleven-daily-shortdrama-report
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of daily-shortdrama-report skill. - Generates concise daily work reports for short drama/AI comic teams. - Includes statistics on workload, dialogue count, Token usage, and content production progress. - Provides a streamlined template for reporting scripts, storyboards, video generation, and team events. - Supports comparison against weekly/monthly targets if available. - Highlights AI assistant’s contributions and flags risks or high Token usage when detected.
Metadata
Slug eleven-daily-shortdrama-report
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Daily Shortdrama Report?

每日短剧工作总结技能。用于生成精简的短剧/AI漫剧团队每日工作报告,包含工作量统计、对话次数/Token使用量、内容生产进度。触发词:日报、工作日报、每日总结、每日报告。 It is an AI Agent Skill for Claude Code / OpenClaw, with 108 downloads so far.

How do I install Daily Shortdrama Report?

Run "/install eleven-daily-shortdrama-report" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Daily Shortdrama Report free?

Yes, Daily Shortdrama Report is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Daily Shortdrama Report support?

Daily Shortdrama Report is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Daily Shortdrama Report?

It is built and maintained by EVspace (@elevenzhou); the current version is v1.0.0.

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