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Skill Scoreboard
by
luis1213899
· GitHub ↗
· v1.3.0
· MIT-0
93
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3
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Install in OpenClaw
/install skill-scoreboard
Description
技能使用积分榜 v1.3 — OpenClaw 技能使用追踪与积分管理系统。 触发场景： (1) 用户询问技能使用榜单、积分统计（日榜/周榜/月榜/年榜/总榜） (2) 用户要求查看技能调用记录、错误日志 (3) 用户要求查看某技能的使用详情 (4) 用户要求生成每日/历史积分报告 (5) 用户询问"今天情况如何...
Usage Guidance
This skill appears to implement the advertised leaderboard functionality, but note two important issues before installing: (1) An undocumented script (scripts/parse_gateway_logs.py) will read gateway logs from /tmp/openclaw and extract message snippets, then call the tracker — that may capture and persist sensitive user messages; (2) the tracker scans your SharedSkills directory to compute complexity, which can expose file contents and file counts. Actions to consider: (a) inspect parse_gateway_logs.py and score_tracker.py yourself (they are included) and confirm you are comfortable with them reading /tmp/openclaw and SharedSkills; (b) if you want only manual tracking, avoid running parse_gateway_logs.py and do not enable any automated cron; (c) run the scripts in a restricted/sandboxed environment or limit file permissions for /tmp/openclaw and SharedSkills if you must; (d) ask the publisher to update SKILL.md to disclose automatic log parsing and provide opt-in/opt-out controls. If you need help reviewing specific lines or tailoring the scripts to avoid reading sensitive paths, provide guidance and I can suggest edits.
Capability Analysis
Type: OpenClaw Skill
Name: skill-scoreboard
Version: 1.3.0
The skill bundle implements a legitimate usage tracking and scoring system for the OpenClaw environment. It analyzes gateway logs in /tmp/openclaw to detect skill activity and calculates 'complexity weights' by scanning file metadata in the SharedSkills directory. All data is stored locally in ~/.skill_scoreboard, and no evidence of data exfiltration, unauthorized network access, or malicious command execution was found in scripts/score_tracker.py or scripts/parse_gateway_logs.py.
Capability Assessment
Purpose & Capability
The stated purpose (track skill usage, compute scores, produce leaderboards) aligns with the included score_tracker.py which scans SharedSkills and writes ~/.skill_scoreboard. However the package also contains parse_gateway_logs.py (not mentioned in SKILL.md) which actively reads gateway logs from /tmp/openclaw and invokes score_tracker.py; this extra component is plausible for automatic tracking but wasn't documented in the runtime instructions.
Instruction Scope
SKILL.md documents only score_tracker usage and cron jobs; it does not mention parse_gateway_logs.py. parse_gateway_logs.py will read Gateway log files at /tmp/openclaw/openclaw-YYYY-MM-DD.log, extract message text (examples), and call score_tracker via subprocess. That means the skill will parse potentially sensitive user messages and logs without the SKILL.md disclosure. There are no network exfiltration calls in the code, but local log reading and example extraction are privacy-sensitive and broader than the documented commands.
Install Mechanism
This is an instruction-only skill with no install spec. No remote downloads or package installs are performed by the skill files themselves — the lowest-risk installation model.
Credentials
The skill requests no environment variables or credentials. It does read local filesystem locations: the SharedSkills directory (to compute complexity across all skills), and /tmp/openclaw logs (gateway logs). Reading SharedSkills and home-dir files is coherent with complexity-weighting and local storage, but it grants broad read access to user skill files and system logs which can contain secrets or sensitive content.
Persistence & Privilege
The skill does not request always:true and does not modify other skills. It creates ~/.skill_scoreboard and log files in the user's home directory (normal for a local tracker) and suggests adding cron entries (user-controlled). This is typical and proportional.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install skill-scoreboard - After installation, invoke the skill by name or use
/skill-scoreboard - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.3.0
新增五种榜单模式：日榜、周榜、月榜、年榜、总榜。修复今日榜成功率显示问题。
v1.2.0
v1.2: 修复文档不一致问题，移除不存在的Feishu推送依赖，修正权重示例值
v1.1.0
v1.1: 新增每日工作流复盘功能，自动找出积分冠军技能并固化最佳实践
Metadata
Frequently Asked Questions
What is Skill Scoreboard?
技能使用积分榜 v1.3 — OpenClaw 技能使用追踪与积分管理系统。 触发场景： (1) 用户询问技能使用榜单、积分统计（日榜/周榜/月榜/年榜/总榜） (2) 用户要求查看技能调用记录、错误日志 (3) 用户要求查看某技能的使用详情 (4) 用户要求生成每日/历史积分报告 (5) 用户询问"今天情况如何... It is an AI Agent Skill for Claude Code / OpenClaw, with 93 downloads so far.
How do I install Skill Scoreboard?
Run "/install skill-scoreboard" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Skill Scoreboard free?
Yes, Skill Scoreboard is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Skill Scoreboard support?
Skill Scoreboard is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Skill Scoreboard?
It is built and maintained by luis1213899 (@luis1213899); the current version is v1.3.0.
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