{
  "id": "plg_veblin_invest_skills_d9a5f8e5",
  "kind": "plugin",
  "category": "ferramentas",
  "name": "invest-skills",
  "tagline": "A股多因子投研助手 — 九模块研究备忘录，带数据引用的 Markdown 报告。研究工具，非决策工具。",
  "body": "A股多因子投研助手 — 九模块研究备忘录，带数据引用的 Markdown 报告。研究工具，非决策工具。",
  "url": "https://github.com/Veblin/invest-skills",
  "status": "live",
  "origin": "gemini",
  "origin_id": "veblin/invest-skills",
  "install": "https://github.com/Veblin/invest-skills",
  "source": "https://github.com/Veblin/invest-skills",
  "transporte": "",
  "ns": "veblin",
  "versao": "0.3.1",
  "oficial_status": "",
  "repo_host": "github.com",
  "topico": "files",
  "linguagem": "Python",
  "licenca": "MIT",
  "repo_topics": " agent-skills claude-code investment-research learning-tool stock-analysis workbuddy workbuddy-skill ",
  "repo_slug": "veblin/invest-skills",
  "stars": 17,
  "forks": 3,
  "prs_abertos": 0,
  "pushed_at": "2026-10-15T13:14:32Z",
  "repo_estado": "ativo",
  "likes": 0,
  "comments": 0,
  "visits": 0,
  "readme_bytes": 5733,
  "readme_api": "https://agentalog.com/api/listings/plg_veblin_invest_skills_d9a5f8e5/readme",
  "readme_fonte": "repo",
  "created_at": "2026-08-30 14:13:39",
  "updated_at": "2026-09-07 14:38:11",
  "mine": false,
  "api": "https://api.agentalog.com/api/listings/plg_veblin_invest_skills_d9a5f8e5",
  "go": "https://api.agentalog.com/api/go/plg_veblin_invest_skills_d9a5f8e5",
  "comments_api": "https://agentalog.com/api/listings/plg_veblin_invest_skills_d9a5f8e5/comments",
  "readme_sha": "a83724370e9545f9d111b3d41dfc1fb60c7236776d135b9eec3a13574a875e60",
  "readme_em": "2026-10-20 11:46:55",
  "docs_url": "",
  "payload": {
    "extension": "@Veblin/invest-skills",
    "name": "invest-skills",
    "version": "0.3.1",
    "repo": "veblin/invest-skills",
    "tem_skill": true,
    "tem_mcp": false,
    "tem_hooks": true,
    "tem_commands": false,
    "tem_context": false,
    "google": false,
    "license": "mit",
    "install_cmd": "gemini extensions install https://github.com/Veblin/invest-skills"
  },
  "volatil_em": "2026-11-02 19:23:33",
  "historico": [
    {
      "em": "2026-10-20T11:46:49",
      "tipo": "readme_mudou"
    }
  ]
}