Stock Picker Orchestrator
PassAudited by ClawScan on May 1, 2026.
Overview
This instruction-only skill coherently routes stock-analysis work through other analysis skills with budget controls, with only ordinary cautions about dependent skills, external data calls, and cache reuse.
Before installing, make sure you also trust the dependent market-data, macro/news, valuation, and portfolio-risk skills. For broad screenings or portfolio refreshes, ask for a Light or Standard budget unless you intentionally want a deeper run, and check the final report’s fetched-data timestamps, assumptions, confidence, and gaps.
Findings (3)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
A broad or deep request may consume API quota, take longer, or gather more market/news data than a light analysis.
The skill instructs the agent to invoke other analysis skills and can run a large number of market-data requests. This is disclosed and central to the purpose, and the same artifact provides budget controls.
Execute required upstream skills for the chosen route... Default safe presets... `Deep`: 120+ calls
Confirm the intended budget preset and universe size before deep screenings or portfolio refreshes.
The quality and data-handling behavior of the overall workflow depends on the installed dependent skills.
The skill is explicitly designed to coordinate multiple other skills in the workspace, so user prompts and intermediate analysis may be passed across those dependencies.
Requires dependent skills (`vnstock-free-expert`, macro/news monitors, and `equity-valuation-framework`) to be available in the same workspace.
Install and trust the dependent data, news, valuation, and portfolio-risk skills before using this orchestrator with sensitive portfolio details.
Old or incorrect cached analysis could affect recommendations if not checked.
The workflow may rely on previously cached analysis artifacts. This is purpose-aligned for saving API calls, but cached market/news context can become stale or carry forward earlier errors.
Reuse cached artifacts before making new requests.
Review the reported fetch dates and confidence/gaps sections, and request a fresh run when decisions depend on current market data.