{
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  "item": {
    "slug": "a-share-short-decision",
    "name": "A股短线交易决策 A Share Short Term Decision",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/kenera/a-share-short-decision",
    "canonicalUrl": "https://clawhub.ai/kenera/a-share-short-decision",
    "targetPlatform": "OpenClaw"
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    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
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      "SKILL.md",
      "config.json",
      "main.py",
      "prompts/analysis_prompt.txt",
      "requirements.md"
    ],
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      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
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      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
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      "detail": "Yavira can redirect you to the upstream package for this source.",
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        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
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    "downloadPageUrl": "https://openagent3.xyz/downloads/a-share-short-decision",
    "agentPageUrl": "https://openagent3.xyz/skills/a-share-short-decision/agent",
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    "briefUrl": "https://openagent3.xyz/skills/a-share-short-decision/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "A-Share Short-Term Decision Skill",
        "body": "Implement in sequence:\n\nRun short_term_signal_engine(analysis_date) for target date.\nIf needed, persist prediction with run_prediction_for_date(analysis_date).\nCompare prediction vs actual market with compare_prediction_with_market(prediction_date, actual_date).\nOutput report with generate_daily_report(analysis_date)."
      },
      {
        "title": "short_term_signal_engine(analysis_date=None)",
        "body": "analysis_date: YYYY-MM-DD or YYYYMMDD\nReturns weighted short-term score and recommendation status.\nAlways returns friendly no_recommendation_message when no tradable candidate exists."
      },
      {
        "title": "run_prediction_for_date(analysis_date)",
        "body": "Runs signal engine for the specified date.\nAppends decision snapshot into data/decision_log.jsonl."
      },
      {
        "title": "compare_prediction_with_market(prediction_date, actual_date=None)",
        "body": "Loads prediction from log (or auto-generates if missing).\nCompares predicted candidates against real market closes on actual_date.\nReturns per-stock return and summary statistics."
      },
      {
        "title": "No-Recommendation Behavior",
        "body": "Required behavior:\n\nNever return empty output.\nIf candidates is empty or signal is NO_TRADE, explicitly say: 当前暂无可执行短线买入标的.\nInclude reason and next action."
      },
      {
        "title": "Runtime",
        "body": "python3 main.py short_term_signal_engine --date 2026-02-12\npython3 main.py run_prediction_for_date --date 2026-02-12\npython3 main.py compare_prediction_with_market --prediction-date 2026-02-12 --actual-date 2026-02-13\npython3 main.py generate_daily_report --date 2026-02-12"
      },
      {
        "title": "Subskills Workflow",
        "body": "For recurring optimize-then-recommend flow, run:\n\npython3 subskills/config-optimization/optimize_from_aggressive.py --analysis-period \"2026-02-01 to 2026-02-12\"\npython3 subskills/daily-recommendation/generate_daily_recommendation.py --date 2026-02-14\n\nAll generated artifacts are stored under data/."
      }
    ],
    "body": "A-Share Short-Term Decision Skill\n\nImplement in sequence:\n\nRun short_term_signal_engine(analysis_date) for target date.\nIf needed, persist prediction with run_prediction_for_date(analysis_date).\nCompare prediction vs actual market with compare_prediction_with_market(prediction_date, actual_date).\nOutput report with generate_daily_report(analysis_date).\nTool Contracts\nshort_term_signal_engine(analysis_date=None)\nanalysis_date: YYYY-MM-DD or YYYYMMDD\nReturns weighted short-term score and recommendation status.\nAlways returns friendly no_recommendation_message when no tradable candidate exists.\nrun_prediction_for_date(analysis_date)\nRuns signal engine for the specified date.\nAppends decision snapshot into data/decision_log.jsonl.\ncompare_prediction_with_market(prediction_date, actual_date=None)\nLoads prediction from log (or auto-generates if missing).\nCompares predicted candidates against real market closes on actual_date.\nReturns per-stock return and summary statistics.\nNo-Recommendation Behavior\n\nRequired behavior:\n\nNever return empty output.\nIf candidates is empty or signal is NO_TRADE, explicitly say: 当前暂无可执行短线买入标的.\nInclude reason and next action.\nRuntime\npython3 main.py short_term_signal_engine --date 2026-02-12\npython3 main.py run_prediction_for_date --date 2026-02-12\npython3 main.py compare_prediction_with_market --prediction-date 2026-02-12 --actual-date 2026-02-13\npython3 main.py generate_daily_report --date 2026-02-12\n\nSubskills Workflow\n\nFor recurring optimize-then-recommend flow, run:\n\npython3 subskills/config-optimization/optimize_from_aggressive.py --analysis-period \"2026-02-01 to 2026-02-12\"\npython3 subskills/daily-recommendation/generate_daily_recommendation.py --date 2026-02-14\n\n\nAll generated artifacts are stored under data/."
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/kenera/a-share-short-decision",
    "publisherUrl": "https://clawhub.ai/kenera/a-share-short-decision",
    "owner": "kenera",
    "version": "1.2.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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}