# Send Daily Stock Analysis to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text 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. ``` ### Upgrade existing ```text 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. ``` ## Machine-readable fields ```json { "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": { "downloadUrl": "/downloads/daily-stock-analysis", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=daily-stock-analysis", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "references/financial-metrics.md", "references/fundamental-analysis.md", "references/metrics.md", "references/minimal_mode.md", "references/report_template.md" ], "downloadMode": "redirect", "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." ] } }, "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" } } ``` ## Documentation ### Daily Stock Analysis 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. ### Hard Rules Read and write files only under working_directory. Save new reports only to: /daily-stock-analysis/reports/ Use filename: YYYY-MM-DD--analysis.md If same ticker/day file exists, ask user: overwrite or new_version (-v2, -v3, ...) For unattended runs, default to new_version Always review history before new prediction. Limit history read count to control token usage: Script mode: max 5 files (default) Compatibility mode: max 3 files ### Required Scripts (Use First) Plan output path + collect history: python3 {baseDir}/scripts/report_manager.py plan \\ --workdir \\ --ticker \\ --run-date \\ --versioning auto \\ --history-limit 5 Compute rolling accuracy from existing reports: python3 {baseDir}/scripts/calc_accuracy.py \\ --workdir \\ --ticker \\ --windows 1,3,7,30 \\ --history-limit 60 Optional: migrate legacy files after explicit user confirmation: python3 {baseDir}/scripts/report_manager.py migrate \\ --workdir \\ --file --file ### Compatibility Mode (No Python / Small Model) If Python scripts are unavailable or model capability is limited, switch to minimal mode: Read at most 3 recent reports for the same ticker. Use only a minimal source set: one official disclosure source one reliable market data source (Yahoo Finance acceptable) Output concise result only: recommendation pred_close_t1 prior review (prev_pred_close_t1, prev_actual_close_t1, AE, APE) if available one improvement_action Save report with same filename rules in canonical reports directory. See references/minimal_mode.md. ### Minimal Run Protocol Resolve ticker/exchange/market (ask if ambiguous). Run report_manager.py plan. Read history_files returned by script. If legacy_files exist, list all absolute paths and ask whether to migrate. Gather data using references/sources.md + references/search_queries.md. Run calc_accuracy.py for consistent metrics. Render report using references/report_template.md. Save to selected_output_file returned by report_manager.py. ### Required Output Fields Must include: recommendation pred_close_t1 prev_pred_close_t1 prev_actual_close_t1 AE, APE rolling strict/loose accuracy fields improvement_actions ### Self-Improvement (Required) Each run must include 1-3 concrete improvement_actions from recent misses and use them in the next run. Do not skip this step. ### Scheduling Recommendation Recommend users set this as a weekday recurring task (for example 10:00 local time) to keep prediction-review windows continuous. ### References Default: references/workflow.md references/report_template.md references/metrics.md references/search_queries.md references/sources.md references/minimal_mode.md references/security.md Deep-dive only (full_report mode): references/fundamental-analysis.md references/technical-analysis.md references/financial-metrics.md ### Compliance Always append: "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 - Source: tencent - Verification: Indexed source record - Publisher: HeXavi8 - Version: 1.0.2 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-04-29T07:47:37.854Z - Expires at: 2026-05-06T07:47:37.854Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/daily-stock-analysis) - [Send to Agent page](https://openagent3.xyz/skills/daily-stock-analysis/agent) - [JSON manifest](https://openagent3.xyz/skills/daily-stock-analysis/agent.json) - [Markdown brief](https://openagent3.xyz/skills/daily-stock-analysis/agent.md) - [Download page](https://openagent3.xyz/downloads/daily-stock-analysis)