A professional startup project evaluator skill that conducts multi-dimensional analysis covering technology, market, finance, and team to deliver structured evaluation reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install startup-evaluator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install startup-evaluator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Startup Project Evaluator?
The Startup Project Evaluator is a specialized skill designed for AI agents operating within the Openclaw Skills framework. It enables agents to act as professional venture analysts, executing deep multi-dimensional analysis on early-stage projects. By ingesting raw project data, it systematically breaks down market validity, technical defensibility, financial viability, and team alignment to produce enterprise-grade due diligence documentation.
This skill eliminates the manual overhead of structuring project assessments. It ensures that product managers, investors, and founders receive standardized, objective evaluation reports complete with strategic recommendations and risk mitigation pathways, driving faster and more informed decision-making.
Startup Project Evaluator Use Cases
- Startup Evaluation: Assessing early-stage concepts or pitch decks for foundational viability.
- Project Assessment Report: Generating comprehensive, structured analysis reports for stakeholders or internal teams.
- Startup Feasibility Analysis: Validating whether a project's technical solution and business model align with market demands.
- Project Due Diligence: Conducting deep-dive pre-investment or pre-incubation reviews to identify structural risks.
How Startup Project Evaluator Works
- Information Gathering: The AI agent engages in an iterative, multi-round dialogue with the user, collecting 2-3 targeted pieces of project information at a time to prevent user fatigue.
- Context Aggregation: The skill compiles raw inputs covering project overview, core product features, target market metrics, business models, core team backgrounds, technical stacks, and financial data.
- Multi-Dimensional Analysis: The agent processes the gathered data against established analytical frameworks, evaluating market sizing (TAM/SAM/SOM), technical moats, execution risks, and unit economics.
- Structured Compilation: The analyzed insights are mapped into a standardized template format, ensuring data parity across different evaluated projects.
- Report Generation: The skill outputs a clean, objective evaluation report containing clear investment/proceed recommendations, explicit risk matrices, and strategic next steps, substituting missing data with strict 'TBD' markers instead of speculation.
Startup Project Evaluator Setup
To integrate this evaluator into your environment, install it via the Openclaw Skills manager CLI:
openclaw install startup-evaluator
Ensure that your agent has access to local reference paths, as this skill relies on the internal report template schema located at references/report-template.md to format its final markdown outputs.
Startup Project Evaluator Data Schema & Taxonomy
The startup-evaluator structures its assessment pipeline using a strict data input schema across five primary pillars:
| Data Category | Required Fields | Analytical Focus |
|---|---|---|
| Market Analysis | TAM/SAM/SOM, Competitor landscape, Target persona | Valuation of market growth, trend potential, and competitive differentiation position. |
| Technical Assessment | Tech stack, Core barriers, Development timeline | Solution feasibility, technical replicability, resource constraints, and technical risks. |
| Team Assessment | Backgrounds, Skill distribution, Experience | Core competencies, project fit, team gaps, and execution track record. |
| Business Model | Revenue streams, Pricing strategy, CAC channels | Revenue model clarity, unit economics rationality, and scaling pathways. |
| Risk Identification | Financial, Legal, Operational vulnerabilities | Risk level classification paired with specific mitigation recommendations. |
Startup Project Evaluator Advanced Features
- Iterative Discovery Hook: Features a progressive, multi-round prompting mechanism that improves user completion rates by asking for data in digestible fragments.
- Strict Evaluation Constraints: Enforces a non-speculative data policy that automatically flags missing or low-confidence data points as 'TBD' rather than hallucinating metrics.
- Standardized Template System: Integrates natively with localized markdown reporting templates (
references/report-template.md) to guarantee uniform, parseable output structures across multiple agent runs. - Isolated Output Mode: Supports a clean-output runtime that strips away conversational conversational fluff, returning only the raw report body for seamless programmatic storage or API forwarding.
SKILL.md
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