Spark Context Monitor

查询当前会话的Token使用情况，显示已用、剩余数量、百分比及进度条，并在超过阈值时提供智能提醒。

This skill's functionality (estimating token use from the current session) is coherent and it does not ask for secrets or network access, but there are practical issues you should check before installing: 1) skill.json points to dist/index.js but a compiled dist file is not present in the package — confirm whether your platform will build the TypeScript source automatically or whether you must run npm install && npm run build first; 2) tests import named functions that the source file does not explicitly export (a code/test mismatch), which suggests sloppy packaging; 3) verify the GitHub repository and author identity (skill metadata points to a repo) and optionally review the compiled/dist code that will actually run on your agent; 4) remember the estimator is approximate (SKILL.md says ±10%), and the skill depends on the platform providing context.sessionHistory and modelName — confirm what data the platform passes into context to avoid unexpected behavior. If you want to proceed, run the build and tests locally and inspect the resulting dist/index.js before installing.

Type: OpenClaw Skill Name: spark-context-monitor Version: 1.0.0 The 'spark-context-monitor' skill is a utility designed to estimate and display token usage within an OpenClaw session. The implementation in 'src/index.ts' uses a simple character-based heuristic to calculate usage from the session history and contains no network calls, file system access, or dynamic code execution (eval/exec). The instructions in 'SKILL.md' and 'README.md' are strictly limited to defining triggers and output formats, with no evidence of prompt injection or malicious intent.