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Install in OpenClaw
/install dnfm-tracker
Description
DNFM 周本进度追踪。用于查询/更新新超越本、老超越本、周本、雷龙、团本进度。支持周五自动重置新超越本等刷新逻辑。支持自定义总量和启用/禁用副本。自动从 /root/.openclaw/workspace/dnfm-tracker/progress.json 读写数据。
README (SKILL.md)
DNFM 周本追踪
快速使用
查询进度：
tracker.py --status
更新进度：
tracker.py --update \x3C事件> \x3C数量>
可用事件
| 输入 | 默认总量 | 刷新日 |
|---|---|---|
| 新超越本 | 5 | 周五 |
| 老超越本 | 10 | 周三 |
| 周本 | 10 | 周三 |
| 雷龙 | 18 | 周一 |
| 团本 | 16 | 周一 |
常用命令
显示进度：
tracker.py # 简洁进度
tracker.py --status # 详细进度
tracker.py --config # 查看配置
tracker.py --events # 查看所有可用事件
更新进度：
tracker.py --update 老超越本 7
# ✅ 老超越本: 7/10，剩 3 个
设置总量（根据你的号数）：
tracker.py --set-total 雷龙 10
# ✅ 雷龙 总量: 18 → 10
启用/禁用副本：
tracker.py --disable 团本 # 禁用团本
tracker.py --enable 团本 # 启用团本
数据文件
- 进度文件：
/root/.openclaw/workspace/dnfm-tracker/progress.json - 配置文件：
/root/.openclaw/workspace/dnfm-tracker/config.json - 格式：JSON，自动管理刷新周期重置
Usage Guidance
This skill appears to be what it claims: a local progress tracker that reads and writes /root/.openclaw/workspace/dnfm-tracker/progress.json and config.json. Before installing, consider: 1) do you trust the source code? (it will write files in the agent workspace); 2) confirm the runtime has write permission to the stated path or adjust the path if you don't run as root; 3) back up any existing progress.json/config.json under that path to avoid accidental overwrite; 4) if you want extra assurance, review the included scripts/tracker.py (no network calls or secret access are present). If any of these points are unacceptable, don't install or run the script until adjusted.
Capability Analysis
Type: OpenClaw Skill
Name: dnfm-tracker
Version: 1.1.0
The `dnfm-tracker` skill's core components (`SKILL.md` and `scripts/tracker.py`) appear benign, performing local file operations within the designated workspace without network access or arbitrary command execution. However, the presence of `docs/MLOL.md`, which contains documentation for an unrelated 'Mobile League of Legends JSAPI', is suspicious. This file is not utilized by the `tracker.py` script and its inclusion is unexplained, raising concerns about the bundle's integrity or potential for hidden, unrelated functionality.
Capability Assessment
Purpose & Capability
Name/description match the implementation. The code implements querying/updating weekly progress for the listed events and implements refresh/reset logic as described. Required capabilities (read/write to progress/config JSON) are appropriate for the stated purpose.
Instruction Scope
SKILL.md commands map directly to functions in scripts/tracker.py. Instructions only direct the agent/user to run the tracker script and interact with local JSON files; they do not instruct reading unrelated files, accessing environment secrets, or contacting external endpoints.
Install Mechanism
No install spec or network downloads; this is an instruction-only skill with a bundled script. Nothing is fetched from external URLs and no packages are installed by the skill.
Credentials
The skill requests no environment variables or credentials. It only uses two hard-coded file paths under /root/.openclaw/workspace/dnfm-tracker for progress and config, which is proportional to a local tracker storing state.
Persistence & Privilege
The script persistently reads/writes files at /root/.openclaw/workspace/dnfm-tracker/*.json in the agent workspace. This is expected for stateful tracking. Note: paths are absolute and under /root, so ensure the runtime has appropriate (non-elevated) permissions and that the path is intended.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install dnfm-tracker - After installation, invoke the skill by name or use
/dnfm-tracker - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
新增自动重置功能：刷新日早上6点自动重置对应周本
v1.0.0
初始版本：周本进度追踪，支持自动刷新、总量自定义、启用/禁用副本
Metadata
Frequently Asked Questions
What is DNFM周本进度追踪?
DNFM 周本进度追踪。用于查询/更新新超越本、老超越本、周本、雷龙、团本进度。支持周五自动重置新超越本等刷新逻辑。支持自定义总量和启用/禁用副本。自动从 /root/.openclaw/workspace/dnfm-tracker/progress.json 读写数据。 It is an AI Agent Skill for Claude Code / OpenClaw, with 774 downloads so far.
How do I install DNFM周本进度追踪?
Run "/install dnfm-tracker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is DNFM周本进度追踪 free?
Yes, DNFM周本进度追踪 is completely free (open-source). You can download, install and use it at no cost.
Which platforms does DNFM周本进度追踪 support?
DNFM周本进度追踪 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created DNFM周本进度追踪?
It is built and maintained by Crazzies (@crazzies); the current version is v1.1.0.
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