High Stakes Analytics Decision Lab
A platform-neutral analytical Skill that profiles messy data, selects case-adaptive methods, and produces source-backed visual reports for high-stakes decisions.
Supply asset profile
Data, BI, and analytics
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add limingrui679-design/high-stakes-analytics-decision-lab
Maintenance
fresh
Pushed today
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
204
96/100 Quality · 88/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Use as the primary candidate after human or sandbox review.
Stars
204 GitHub stars
Repo activity
204 stars, 12 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add limingrui679-design/high-stakes-analytics-decision-lab
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Financial research output is not financial advice; require human review before any live investment decision.
- Stars/forks activity: 204 stars, 12 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add limingrui679-design/high-stakes-analytics-decision-lab
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 80/100
- Audit
- 93/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add limingrui679-design/high-stakes-analytics-decision-labDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No OpenAgentSkill engagement data yet
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
Agent safety v2
77/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- Financial research output is not financial advice; require human review before any live investment decision
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add limingrui679-design/high-stakes-analytics-decision-labAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20High%20Stakes%20Analytics%20Decision%20Lab%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20High%20Stakes%20Analytics%20Decision%20Lab%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/limingrui679-design-high-stakes-analytics-decision-lab/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use High Stakes Analytics Decision Lab in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20High%20Stakes%20Analytics%20Decision%20Lab%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/limingrui679-design-high-stakes-analytics-decision-lab/install
Install command: npx skills add limingrui679-design/high-stakes-analytics-decision-lab
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/limingrui679-design-high-stakes-analytics-decision-lab/install
LLM text format
/api/skills/limingrui679-design-high-stakes-analytics-decision-lab/install?format=text
Find alternatives
/api/skills/search?q=High%20Stakes%20Analytics%20Decision%20Lab&limit=3
Agent prompt
Use High Stakes Analytics Decision Lab for this task. Review https://www.openagentskill.com/api/skills/limingrui679-design-high-stakes-analytics-decision-lab/install, then install with: npx skills add limingrui679-design/high-stakes-analytics-decision-labRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/limingrui679-design-high-stakes-analytics-decision-lab
LLM text
/api/registry/manifest/limingrui679-design-high-stakes-analytics-decision-lab?format=text
Install alias
/api/registry/install/limingrui679-design-high-stakes-analytics-decision-lab
Recommend
/api/registry/recommend?task=Use%20High%20Stakes%20Analytics%20Decision%20Lab%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Python, Claude Code
Audit report
Needs review · 93/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Primary pick for Research agents
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 96/100 quality profile
review first
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Review then install
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO204 GitHub stars
Stars/forks activity
CHECK204 stars, 12 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
- Manually verified listing
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Financial research output is not financial advice; require human review before any live investment decision.
- Stars/forks activity: 204 stars, 12 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
Finance and quant
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Compare before you install
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Overview
<p align="center"> <img src="assets/readme-hero.svg" alt="High-Stakes Analytics & Decision Lab routes a question to an Evidence Intelligence Report and adds a Decision Intelligence Brief only when justified" width="100%"> </p>
# High-Stakes Analytics & Decision Lab
A platform-neutral, evidence-constrained Skill for moving from an ambiguous question to a defensible analysis—and only then, when justified, to action.
## What the Skill does
This Skill turns an ambiguous, consequential question into a reproducible evidence product and, only when justified, a bounded decision product. It can start from a question alone or from uploaded row-level data. Instead of assuming the data are clean, the model is useful, or a recommendation must be produced, it makes each transition conditional on visible evidence.
| Highlight | Instead of… | The Skill… | |---|---|---| | **Evidence first** | Starting with a favorite method | Declares the question, estimand, population, grain, horizon, lineage, and claim boundary | | **Data readiness** | Silently cleaning until a model runs | Preserves the source, profiles quality and privacy, and pauses on material choices | | **Adaptive analysis** | Filling one fixed report template | Selects only the descriptive, diagnostic, predictive, or prescriptive work supported | | **Honest endpoints** | Treating a recommendation as mandatory | Accepts an evidence request, negative validation, `do_not_deploy`, or bounded action | | **Shared uncertainty** | Disturbing alternatives independently | Retains common time, market, participant, operational, campaign, or spatial shocks | | **Reproducible evidence** | Separating prose from analysis | Links claims and accessible figures to JSON, CSV, hashes, and rerunnable code |
Its contribution is an adaptive orchestration system for evidence gating, method selection, claim control, dependent-risk handling, and case-specific analytical communication.
The public portfolio contains 15 primary reports and 10
Platform compatibility
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 10, 2026
- Published
- Aug 10, 2026
Frameworks & tools
Decision snapshot
Primary pick
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 89/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for High Stakes Analytics Decision Lab, ready for a manual X post.
High Stakes Analytics Decision Lab: A platform-neutral analytical skill that profiles messy data, selects adaptive methods, and p... 204 stars https://www.openagentskill.com/skills/limingrui679-design-high-stakes-analytics-decision-lab?ref=x
Optional reply with install command
Listing + install path for High Stakes Analytics Decision Lab: https://www.openagentskill.com/skills/limingrui679-design-high-stakes-analytics-decision-lab?ref=x Install: npx skills add limingrui679-design/high-stakes-analytics-decision-lab
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- limingrui679-design
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Community indexed listing is attributed to limingrui679-design but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/limingrui679-design-high-stakes-analytics-decision-lab)
[](https://www.openagentskill.com/skills/limingrui679-design-high-stakes-analytics-decision-lab)
[](https://www.openagentskill.com/skills/limingrui679-design-high-stakes-analytics-decision-lab/audit)
[](https://www.openagentskill.com/skills/limingrui679-design-high-stakes-analytics-decision-lab)Author
limingrui679-design✓
@limingrui679-design
Platform fit
Health signals
- GitHub stars
- 204
- Quality score
- 60/100
- Last GitHub push
- Aug 10, 2026
- Framework hints
- 1
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Review then install
- GitHub adoption204 GitHub starsINFO
- Stars/forks activity204 stars, 12 forks; issue activity unavailable in current metadataCHECK
- Recent maintenancePushed todayPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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