What makes Stock Picker Orchestrator notable?

2.1K downloads. Trust evidence available

How should Stock Picker Orchestrator be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Stock Picker Orchestrator

Acts as a meta-orchestrator that routes stock-analysis requests across data, macro/news, backtesting, earnings quality, valuation, portfolio analytics, and r... Skill: Stock Picker Orchestrator Owner: teahann Summary: Acts as a meta-orchestrator that routes stock-analysis requests across data, macro/news, backtesting, earnings quality, valuation, portfolio analytics, and r... Tags: latest:1.0.3 Version history: v1.0.3 | 2026-05-22T00:21:43.229Z | user Update Vietnam institutional stock skill system with D1 governance, trade decision policy, and harness agent guide. v1.0.2 |

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.1k

Updated

Oct 9, 2026

Version

1.0.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.1K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.1K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.3release · observed May 22, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s172d4r9d0h6bvvd3mpq517yrn861np5:stock-picker-orchestrator

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-teahann-stock-picker-orchestrator/snapshot"

Documentation

CLAWHUB

38,578 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: stock-picker-orchestrator
description: Acts as a meta-orchestrator that routes stock-analysis requests across data, macro/news, backtesting, earnings quality, valuation, portfolio analytics, and risk skills under explicit budget controls.
compatibility: Requires dependent skills (`vnstock-free-expert`, macro/news monitors, `strategy-backtester`, `earnings-quality-reviewer`, `equity-valuation-framework`, `portfolio-analytics`, and `portfolio-risk-manager`) to be available in the same workspace.
metadata: {"openclaw":{"emoji":"🧩"}}
---

# Stock Picker Orchestrator

Use this skill to coordinate the full analysis system from user intent to final recommendation framing.

## Purpose
- Convert user request into the right analysis pipeline.
- Control budget: vnstock API calls, breadth of news scraping, depth of valuation work.
- Produce transparent outputs: what was fetched, assumptions, confidence, gaps.
- Scope boundary: this skill coordinates other skills and does not replace their domain-specific logic.

## Skill graph (preferred dependencies)
1. `vnstock-free-expert` for structured market/fundamental data.
2. `nso-macro-monitor` for Vietnam macro snapshot.
3. `us-macro-news-monitor` for global macro spillover signals.
4. `vn-market-news-monitor` for domestic market narrative.
5. `strategy-backtester` for historical ranking/strategy validation.
6. `earnings-quality-reviewer` for earnings quality before valuation conviction.
7. `equity-valuation-framework` for decision-grade valuation and report standard.
8. `portfolio-analytics` for portfolio risk metrics before sizing/rebalance.
9. `portfolio-risk-manager` for IPS mini + position sizing + risk triggers (no-margin).
10. `trade-decision-policy` for `BUY`, `ADD`, `HOLD`, `TRIM`, `EXIT`, target weights, and action drafts.
11. `institutional-governance` for D1 approvals, compliance checks, audit logs, and approved target portfolio state.

## Trigger conditions
- "Find best stock(s)"
- "Screen this sector"
- "Analyze ticker X deeply"
- "How do macro/news affect these stocks"
- "Value this stock like a professional"

## First step: intent classification
Classify user request into one of these modes:
- `Single-Ticker Deep Dive`
- `Multi-Ticker/Universe Screening`
- `Macro/News-Led Investigation`
- `Portfolio Refresh`

If ambiguous, choose the most conservative high-signal mode and note assumption.

## Execution workflow (ordered)
1. Parse user intent and select one routing mode.
2. Set budget preset (`Light`, `Standard`, `Deep`) and hard request limits.
3. Execute required upstream skills for the chosen route.
4. Validate intermediate outputs for freshness, completeness, and conflicts.
5. Run valuation layer only at the required depth.
6. Aggregate confidence across modules using the shared rubric.
7. Return output using the mandatory output contract.

## Budget policy (required)
Define and enforce budget at start:
- `API budget`: max vnstock calls
- `News budget`: max headlines/articles per sour

_meta.json

{
  "ownerId": "kn7aqz9b9xv2mmyvsg54n5kecn81kkaf",
  "slug": "stock-picker-orchestrator",
  "version": "1.0.3",
  "publishedAt": 1779409303229
}

skill-card.md

## Description:

Acts as a meta-orchestrator that routes stock-analysis requests across data, macro/news, backtesting, earnings quality, valuation, portfolio analytics, and risk skills under explicit budget controls.

This skill is ready for commercial/non-commercial use.

## Publisher:

[teahann](https://clawhub.ai/user/teahann)

### License/Terms of Use:

MIT-0

## Use Case:

Investors, analysts, and agent builders use this skill to route stock-analysis requests through budget-aware screening, macro/news context, valuation, portfolio analytics, and risk-management workflows. It frames recommendations with assumptions, confidence, gaps, risk flags, and governance status.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill can draft financial recommendation labels and target weights that may be mistaken for trading authorization.

Mitigation: Treat outputs as research, require human review for decisions, and keep broker execution disabled.

Risk: The skill may coordinate costly or broad data and news collection through dependent skills.

Mitigation: Confirm budgets before deeper runs, reuse cached artifacts, and stop scope expansion when remaining call budget is low.

Risk: Missing or unavailable dependent skills can leave macro, valuation, portfolio, or risk context incomplete.

Mitigation: Report missing modules, carry gaps into the final answer, and cap confidence when required inputs are unavailable.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/teahann/skills/stock-picker-orchestrator)

## Skill Output:

**Output Type(s):** [text, markdown, guidance, configuration]

**Output Format:** [Markdown with structured sections for fetched data, pipeline choice, assumptions, results, confidence, risks, next steps, and governance.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Outputs are recommendation framing and workflow guidance only; broker execution is disabled.]

## Skill Version(s):

1.0.3 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

agents/openai.yaml

display_name: Stock Picker Orchestrator
short_description: Intent-aware pipeline router for stock screening, macro/news context, and valuation.
default_prompt: Orchestrate a budget-aware stock analysis pipeline, choose the right skills in sequence, and return assumptions, confidence, gaps, and risk-aware conclusions.

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