DEVELOPER TOOLS/开发者工具·CODING-AGENT
JSungMin/vs-token-safer
中文简介生成中Token-saving code search for AI coding agents — TypeScript, JavaScript & Python (zero setup), C#, C++, Go & 30+ more, via a language-server or tree-sitter index instead of grep. Local-only, no IDE. Claude Code plugin + MCP + CLI.
怎么装:Install: /plugin marketplace add JSungMin/vs-token-safer
02 / 现在的位置02 / Why now
首次发现FIRST SEEN
03 OCT 202603 OCT 2026
增长GROWTH
历史不足Not enough history
只有 1 个快照,还不足以计算增长Only 1 snapshots so far — not enough to compute growth
讨论DISCUSSION
暂无None
还没有采集到外部讨论No external discussion collected yet
状态STATUS
持续活跃Active
03 / 它能帮你做什么03 / What it helps you do
中文能力说明生成中Chinese capability copy is being generated
中文能力说明生成中Chinese capability copy is being generated
05 / 安装05 / Install
$ README 里给出的安装方式。The installation method given in the README.
$ README 里给出的安装方式。The installation method given in the README.
两种装法选一个即可 —— 上面那条给命令行用户,下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.
06 / 限制与风险06 / Limits and risk
风险不是警告,是可信度的一部分。以下结论只基于文档静态扫描,我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.
限制LIMITS
未知Unknown
静态扫描STATIC SCAN
在 README、SKILL.md 和依赖清单中没有匹配到已知风险模式。No known risk patterns matched in the README, SKILL.md or dependency list.这不等于安全that does not mean it is safe,只能说明文档里没写。 — only that the docs do not mention it.
这里只做静态扫描:读 README、SKILL.md 和依赖清单,不执行代码。没有命中不代表安全。This is static scanning only: we read the README, SKILL.md and dependency list, and never execute code. No findings does not mean safe.
{
"agents": [
{
"agent": "claude-code",
"evidence": "tree: .claude-plugin/"
},
{
"agent": "vscode",
"evidence": "readme: …→ a Roslyn LSP.** Install the VS Code C# extension (`ms-dotnettools…"
}
],
"apiKey": null,
"docker": null,
"taxonomy": {
"scores": {
"design": 1,
"ai-tools": 0,
"dev-tools": 5,
"indie-web": 0,
"skill-agent": 6,
"productivity": 4
},
"primary": "dev-tools",
"secondary": "coding-agent"
},
"localRuntime": "that lets **any local LLM** (Ollama, full-GPU — model-agnostic, default **g",
"skillMdTotal": 4,
"skillMdErrors": [],
"treeTruncated": false,
"categoryScores": {
"data": 0,
"agent": 0,
"media": 0,
"design": 0,
"browser": 0,
"devtool": 4,
"security": 0,
"marketing": 0,
"productivity": 0
},
"classification": [
{
"signal": "1 SKILL.md with name + description",
"weight": 0.95
},
{
"signal": "skills/ directory with 3 markdown files",
"weight": 0.75
},
{
"signal": "Claude Code plugin manifest",
"weight": 0.7
},
{
"signal": "MCP topic + README",
"weight": 0.6
},
{
"signal": "description mentions AI",
"weight": 0.2
}
],
"scannedSources": [
"readme",
"gamedev-log-analyzer/skills/logs/SKILL.md",
"skills/vs-dce/SKILL.md",
"skills/vs-search/SKILL.md",
"skills/vs-viz/SKILL.md"
],
"skillMdFetched": 4
}