{ "schemaVersion": "1.0", "item": { "slug": "daily-stock-analysis", "name": "Daily Stock Analysis", "source": "tencent", "type": "skill", "category": "数据分析", "sourceUrl": "https://clawhub.ai/HeXavi8/daily-stock-analysis", "canonicalUrl": "https://clawhub.ai/HeXavi8/daily-stock-analysis", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/daily-stock-analysis", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=daily-stock-analysis", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md", "references/financial-metrics.md", "references/fundamental-analysis.md", "references/metrics.md", "references/minimal_mode.md", "references/report_template.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "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. 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. Summarize what changed and any follow-up checks I should run." } ] }, "sourceHealth": { "source": "tencent", "slug": "daily-stock-analysis", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-29T07:47:37.854Z", "expiresAt": "2026-05-06T07:47:37.854Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=daily-stock-analysis", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=daily-stock-analysis", "contentDisposition": "attachment; filename=\"daily-stock-analysis-1.0.2.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "daily-stock-analysis" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/daily-stock-analysis" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "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." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/daily-stock-analysis", "agentPageUrl": "https://openagent3.xyz/skills/daily-stock-analysis/agent", "manifestUrl": "https://openagent3.xyz/skills/daily-stock-analysis/agent.json", "briefUrl": "https://openagent3.xyz/skills/daily-stock-analysis/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. 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. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Daily Stock Analysis", "body": "Perform market-aware, evidence-based daily stock analysis with prediction, next-run review, rolling accuracy tracking, and a structured self-evolution mechanism that updates future assumptions from observed forecast errors." }, { "title": "Hard Rules", "body": "Read and write files only under working_directory.\nSave new reports only to:\n\n/daily-stock-analysis/reports/\n\nUse filename:\n\nYYYY-MM-DD--analysis.md\n\nIf same ticker/day file exists, ask user:\n\noverwrite or new_version (-v2, -v3, ...)\nFor unattended runs, default to new_version\n\nAlways review history before new prediction.\nLimit history read count to control token usage:\n\nScript mode: max 5 files (default)\nCompatibility mode: max 3 files" }, { "title": "Required Scripts (Use First)", "body": "Plan output path + collect history:\n\npython3 {baseDir}/scripts/report_manager.py plan \\\n --workdir \\\n --ticker \\\n --run-date \\\n --versioning auto \\\n --history-limit 5\n\nCompute rolling accuracy from existing reports:\n\npython3 {baseDir}/scripts/calc_accuracy.py \\\n --workdir \\\n --ticker \\\n --windows 1,3,7,30 \\\n --history-limit 60\n\nOptional: migrate legacy files after explicit user confirmation:\n\npython3 {baseDir}/scripts/report_manager.py migrate \\\n --workdir \\\n --file --file " }, { "title": "Compatibility Mode (No Python / Small Model)", "body": "If Python scripts are unavailable or model capability is limited, switch to minimal mode:\n\nRead at most 3 recent reports for the same ticker.\nUse only a minimal source set:\n\none official disclosure source\none reliable market data source (Yahoo Finance acceptable)\n\nOutput concise result only:\n\nrecommendation\npred_close_t1\nprior review (prev_pred_close_t1, prev_actual_close_t1, AE, APE) if available\none improvement_action\n\nSave report with same filename rules in canonical reports directory.\n\nSee references/minimal_mode.md." }, { "title": "Minimal Run Protocol", "body": "Resolve ticker/exchange/market (ask if ambiguous).\nRun report_manager.py plan.\nRead history_files returned by script.\nIf legacy_files exist, list all absolute paths and ask whether to migrate.\nGather data using references/sources.md + references/search_queries.md.\nRun calc_accuracy.py for consistent metrics.\nRender report using references/report_template.md.\nSave to selected_output_file returned by report_manager.py." }, { "title": "Required Output Fields", "body": "Must include:\n\nrecommendation\npred_close_t1\nprev_pred_close_t1\nprev_actual_close_t1\nAE, APE\nrolling strict/loose accuracy fields\nimprovement_actions" }, { "title": "Self-Improvement (Required)", "body": "Each run must include 1-3 concrete improvement_actions from recent misses and use them in the next run.\nDo not skip this step." }, { "title": "Scheduling Recommendation", "body": "Recommend users set this as a weekday recurring task (for example 10:00 local time) to keep prediction-review windows continuous." }, { "title": "References", "body": "Default:\n\nreferences/workflow.md\nreferences/report_template.md\nreferences/metrics.md\nreferences/search_queries.md\nreferences/sources.md\nreferences/minimal_mode.md\nreferences/security.md\n\nDeep-dive only (full_report mode):\n\nreferences/fundamental-analysis.md\nreferences/technical-analysis.md\nreferences/financial-metrics.md" }, { "title": "Compliance", "body": "Always append:\n\n\"This content is for research and informational purposes only and does not constitute investment advice or a return guarantee. Markets are risky; invest with caution.\"" } ], "body": "Daily Stock Analysis\n\nPerform market-aware, evidence-based daily stock analysis with prediction, next-run review, rolling accuracy tracking, and a structured self-evolution mechanism that updates future assumptions from observed forecast errors.\n\nHard Rules\nRead and write files only under working_directory.\nSave new reports only to:\n/daily-stock-analysis/reports/\nUse filename:\nYYYY-MM-DD--analysis.md\nIf same ticker/day file exists, ask user:\noverwrite or new_version (-v2, -v3, ...)\nFor unattended runs, default to new_version\nAlways review history before new prediction.\nLimit history read count to control token usage:\nScript mode: max 5 files (default)\nCompatibility mode: max 3 files\nRequired Scripts (Use First)\nPlan output path + collect history:\npython3 {baseDir}/scripts/report_manager.py plan \\\n --workdir \\\n --ticker \\\n --run-date \\\n --versioning auto \\\n --history-limit 5\n\nCompute rolling accuracy from existing reports:\npython3 {baseDir}/scripts/calc_accuracy.py \\\n --workdir \\\n --ticker \\\n --windows 1,3,7,30 \\\n --history-limit 60\n\nOptional: migrate legacy files after explicit user confirmation:\npython3 {baseDir}/scripts/report_manager.py migrate \\\n --workdir \\\n --file --file \n\nCompatibility Mode (No Python / Small Model)\n\nIf Python scripts are unavailable or model capability is limited, switch to minimal mode:\n\nRead at most 3 recent reports for the same ticker.\nUse only a minimal source set:\none official disclosure source\none reliable market data source (Yahoo Finance acceptable)\nOutput concise result only:\nrecommendation\npred_close_t1\nprior review (prev_pred_close_t1, prev_actual_close_t1, AE, APE) if available\none improvement_action\nSave report with same filename rules in canonical reports directory.\n\nSee references/minimal_mode.md.\n\nMinimal Run Protocol\nResolve ticker/exchange/market (ask if ambiguous).\nRun report_manager.py plan.\nRead history_files returned by script.\nIf legacy_files exist, list all absolute paths and ask whether to migrate.\nGather data using references/sources.md + references/search_queries.md.\nRun calc_accuracy.py for consistent metrics.\nRender report using references/report_template.md.\nSave to selected_output_file returned by report_manager.py.\nRequired Output Fields\n\nMust include:\n\nrecommendation\npred_close_t1\nprev_pred_close_t1\nprev_actual_close_t1\nAE, APE\nrolling strict/loose accuracy fields\nimprovement_actions\nSelf-Improvement (Required)\n\nEach run must include 1-3 concrete improvement_actions from recent misses and use them in the next run. Do not skip this step.\n\nScheduling Recommendation\n\nRecommend users set this as a weekday recurring task (for example 10:00 local time) to keep prediction-review windows continuous.\n\nReferences\n\nDefault:\n\nreferences/workflow.md\nreferences/report_template.md\nreferences/metrics.md\nreferences/search_queries.md\nreferences/sources.md\nreferences/minimal_mode.md\nreferences/security.md\n\nDeep-dive only (full_report mode):\n\nreferences/fundamental-analysis.md\nreferences/technical-analysis.md\nreferences/financial-metrics.md\nCompliance\n\nAlways append:\n\n\"This content is for research and informational purposes only and does not constitute investment advice or a return guarantee. Markets are risky; invest with caution.\"" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/HeXavi8/daily-stock-analysis", "publisherUrl": "https://clawhub.ai/HeXavi8/daily-stock-analysis", "owner": "HeXavi8", "version": "1.0.2", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/daily-stock-analysis", "downloadUrl": "https://openagent3.xyz/downloads/daily-stock-analysis", "agentUrl": "https://openagent3.xyz/skills/daily-stock-analysis/agent", "manifestUrl": "https://openagent3.xyz/skills/daily-stock-analysis/agent.json", "briefUrl": "https://openagent3.xyz/skills/daily-stock-analysis/agent.md" } }