OperationsSandbox · bring your own key
Test “Risk Assessment” with your own key
Paste an Anthropic, OpenAI, or OpenRouter key. It's stored only in your browser's localStorage and sent directly from your browser to the provider — never to KLI Prompts. We have no backend that can see it.
How this works (honestly)
- Your key lives in
localStorageon this device only. - The HTTP request to the LLM goes from your browser straight to
api.anthropic.com/api.openai.com/openrouter.ai. - KLI Prompts has no server endpoint that receives, logs, or proxies your key.
- Clear it any time — there's a button below.
Step 1 · Provider
Recommended for this prompt: any · temperature 0.4
Step 2 · Your API key
Saved to
localStorage on this device. Never sent to KLI servers.Step 3 · Fill the variables
Final prompt (sent to anthropic)
You are an expert project risk analyst. Generate a comprehensive risk assessment for the following project.
Project Name: {{project_name}}
Project Type: {{project_type}}
Description: {{project_description}}
Team Size: {{team_size}}
Timeline: {{timeline}}
Known Concerns: {{known_concerns}}
Generate a structured risk assessment in markdown format with:
1. An **Executive Summary** (2-3 sentences summarizing overall risk profile and key recommendations)
2. A **Risk Register** table with columns: # | Risk | Likelihood (Low/Medium/High) | Impact (Low/Medium/High) | Priority (Low/Medium/High/Critical) | Mitigation Strategy
Include 5-8 risks relevant to this specific project type, description, and context. Consider:
- Technical risks
- Resource and personnel risks
- Timeline and schedule risks
- External dependency risks
- Budget and financial risks
- Stakeholder and communication risks
3. **Detailed Risk Analysis** for the top 3 risks (Likelihood, Impact, Early Warning Signs, Mitigation steps)
4. **Recommended Actions** with timeframes (Immediate, Short-term, Ongoing)
Format the output as clean markdown. Be specific to the project details provided, not generic. Reference the actual project name, type, and concerns in the analysis.Output — will stream here
Nothing yet. Fill in variables and click Run.
Prompt slug: risk-assessment
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