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Install in OpenClaw
/install daily-stock-analysis
Description
Deterministic daily stock analysis skill for global equities. Use when users need daily analysis, next-trading-day close prediction, prior forecast review, r...
Usage Guidance
Install only if you are comfortable with the skill saving stock reports in your chosen working directory and reusing those reports in later runs. Use a dedicated project folder rather than a sensitive home or business-data directory, review any proposed legacy-file migration before approving it, and treat the financial output as research rather than investment advice.
Capability Analysis
Type: OpenClaw Skill
Name: daily-stock-analysis
Version: 1.0.2
The skill bundle is classified as benign. All Python scripts (`_report_utils.py`, `calc_accuracy.py`, `report_manager.py`) strictly adhere to the `working_directory` constraint, preventing file operations outside the designated scope. They explicitly avoid following symlinks and perform non-destructive file migrations. The `SKILL.md` and `references/security.md` files contain clear instructions that reinforce these security boundaries for the AI agent, with no evidence of prompt injection attempts to subvert the agent's behavior or exfiltrate data. The scripts do not perform any network calls, aligning with the stated security rules, and there are no signs of credential theft, backdoors, or other malicious intent.
Capability Assessment
Purpose & Capability
The stated stock-analysis purpose matches the artifacts: report generation, prior forecast review, rolling accuracy calculation, public financial source guidance, and local markdown output all support the workflow.
Instruction Scope
The skill instructs file reads and writes, but scopes them to working_directory, caps report history reads, limits report filenames, and requires explicit user confirmation before migrating legacy files.
Install Mechanism
There is no installer, package install, startup hook, or background setup; the bundled Python scripts are invoked on demand.
Credentials
Local report storage and public market-data lookups are proportionate for daily stock analysis; the artifacts do not request credentials, private accounts, or broad system access beyond the user-chosen working directory.
Persistence & Privilege
The skill persists report files for future review and recommends a user-created recurring task, but it does not create its own scheduler, daemon, elevated privilege path, or hidden persistence.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install daily-stock-analysis - After installation, invoke the skill by name or use
/daily-stock-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Version 1.0.2 – Major update with new file structure, deterministic output rules, and Python script integration.
- Enforces working directory and canonical report/output location for better file management.
- Integrates required Python scripts for report planning and accuracy calculation.
- Adds compatibility/minimal modes for environments without Python or with limited resources.
- Introduces stricter overwrite/versioning logic for daily report files.
- Adds new reference documents: minimal_mode.md, security.md, sources.md.
- Streamlines required and optional output fields; mandates actionable self-improvement in every run.
v1.0.1
- Introduced a structured self-evolution mechanism: each analysis run now generates explicit learning records that adjust future assumptions and factor weights based on observed forecast errors.
- Added a feedback loop for continuous improvement, including root-cause tracking, action recording, and validation/rollback of learnings.
- Expanded `improvement_actions` to support learning notes, scope (ticker-specific or cross-ticker), and expiry conditions.
- Updated documentation to clarify the looped, learn-from-history approach rather than one-off reporting.
- No changes to core operation modes, report structure, or compliance disclaimer.
v1.0.0
Initial release with daily stock analysis and forecasting for major global markets.
- Provides next-trading-day close price predictions with confidence levels and assumptions.
- Includes trading recommendations (Buy/Hold/Sell/Watch) with rationale.
- Reviews previous forecasts against actual results, tracks error metrics, and explains misses/hits.
- Computes rolling forecast accuracy (1d/3d/7d/30d/custom windows).
- Implements continuous-improvement loop using postmortem analysis.
- Automatically saves daily analysis reports as markdown files for history and quality tracking.
Metadata
Frequently Asked Questions
What is Daily Stock Analysis?
Deterministic daily stock analysis skill for global equities. Use when users need daily analysis, next-trading-day close prediction, prior forecast review, r... It is an AI Agent Skill for Claude Code / OpenClaw, with 2289 downloads so far.
How do I install Daily Stock Analysis?
Run "/install daily-stock-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Daily Stock Analysis free?
Yes, Daily Stock Analysis is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Daily Stock Analysis support?
Daily Stock Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Daily Stock Analysis?
It is built and maintained by Xavi He (@hexavi8); the current version is v1.0.2.
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