Turn project ideas into evidence-backed feasibility decisions with clear assumptions, decision gates, and practical next steps.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install feasibility-study-consultant
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 feasibility-study-consultant 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 Feasibility Study Consultant?
Feasibility Study Consultant is an Openclaw Skills framework for assessing whether a project can work, is worth pursuing, and what conditions would make it viable. It guides an AI coding agent through structured project intake, research-method selection, current-source due diligence, financial and risk analysis, assumption verification, and a documented decision.
Instead of producing a persuasive report from untested assumptions, the skill sets decision thresholds before analysis, cross-checks important facts against independent sources, and records evidence quality and uncertainty. Its templates and dependency-free Python scripts support reproducible feasibility reviews and clear Go, Conditional Go, No-Go, Hold, or Recycle recommendations.
Feasibility Study Consultant Use Cases
- Prepare a feasibility study or business case for a proposed project, product, service, or new business line.
- Decide whether an idea is technically, operationally, legally, and financially viable before committing significant resources.
- Compare multiple project options using weighted decision criteria and financial analysis.
- Assess market demand, competition, unit economics, investment requirements, and risks using current, cited evidence.
- Validate high-impact assumptions through customer interviews, written commitments, quotes, pilots, or other measurable tests.
- Create a decision-ready report for investors, executives, banks, or government reviewers.
- Reassess a project when key constraints, market conditions, or policy requirements change.
How Feasibility Study Consultant Works
- Collect project details: Use a one-page project card and three rounds of structured questions to capture the proposal, funding, audience, timing, key question, project-specific details, and available evidence. Flag missing inputs and red lines.
- Define the decision: Classify the question, project type, research stage, and intended reader. Set explicit thresholds for what counts as a pass before building the case.
- Select suitable methods: Choose a focused set of methods from the methodology library, such as bottom-up TAM/SAM/SOM sizing, competitive analysis, unit economics, financial evaluation, scenario analysis, or a weighted comparison matrix.
- Research before writing: Gather current information across industry, market, competitors, policy, finance, and risk. Cross-check core data against at least two independent sources, note evidence grades, and preserve source materials.
- Analyze and draft: Evaluate market demand, competitive advantages, unit economics, financial returns, risks, and regulatory or resource requirements. Tailor the report to the decision-maker and identify uncertainty rather than presenting estimates as facts.
- Track and test assumptions: Rank assumptions by impact and uncertainty, define observable pass/fail thresholds, and specify validation methods, owners, and deadlines. Use the assumption-ledger script to surface high-impact blockers.
- Apply the decision gate: Compare evidence and results with the predefined thresholds. Deliver a Go, Conditional Go, or No-Go recommendation, with Hold or Recycle options where appropriate, plus the next actions and a traceable evidence record.
Feasibility Study Consultant Setup
- Add the skill folder to the skills directory used by your AI agent. The source repository listed in the skill metadata is
https://github.com/nousresearch/hermes-skills; follow your agent's own instructions for installing or enabling skills. - Keep the scripts, templates, and references in their documented relative paths so the workflow can use them.
- Python 3 is required to run the included scripts. The scripts are described as standard-library-only, with no external Python dependencies.
- Prepare project information and, when using the scripts, populate the supplied CSV or JSON inputs. For research-based conclusions, provide access to current web research tools; the skill requires up-to-date due diligence rather than relying on model memory.
# From the skill directory, inspect the included files and run the ledger tools
python3 scripts/assumption_ledger.py templates/假设台账.csv --plan
python3 scripts/assumption_ledger.py templates/假设台账.csv --json
# Inspect the scorecard input schema or example output
python3 scripts/feasibility_scorecard.py --print-schema
python3 scripts/feasibility_scorecard.py --demo
# Evaluate a completed decision-gate input
python3 scripts/feasibility_scorecard.py 立项评估.json
Feasibility Study Consultant Data Schema & Taxonomy
The skill organizes its materials into operating guidance, executable scripts, reusable templates, and method references. Paths below are relative to the skill directory.
| Path or input | Purpose and structure |
|---|---|
SKILL.md |
Six-step workflow, research principles, methodology selection, reporting guidance, and quality checks. |
scripts/feasibility_scorecard.py |
Standard-library scorecard that calculates weighted results, checks decision gates and critical assumptions, and supports Go, Conditional Go, or No-Go outputs. Accepts a JSON evaluation input; --print-schema and --demo expose the schema and example. |
scripts/assumption_ledger.py |
Standard-library utility for ranking assumptions, identifying blockers, and generating a validation plan from a CSV ledger. Supports --plan and --json. |
templates/项目卡.md |
One-page project intake card covering required questions, project-specific details, and red-line checks. |
templates/引导提问清单.md |
Three-round structured intake questions, including follow-ups for six project types and missing-information handling. |
templates/假设台账.csv |
Example ledger template, with columns for assumption, category, impact, uncertainty, validation method, evidence grade, status, owner, and deadline. |
templates/决策门清单.md |
Gate criteria, threshold table, and decision-output checklist. |
references/方法论库.md |
Ten methods with guidance on when to use them, how to apply them, required data, and common misuse. |
references/方法论出处与致谢.md |
Public references and acknowledgments for the methods. |
Ledger statuses are unverified, in_progress, verified, and falsified. Evidence is graded A (official), B (industry), C (media), or D (inference). The report should include source tables, key assumptions, blockers, financial scenarios, and a decision summary. A non-zero exit code from the ledger tool indicates high-impact assumptions remain unverified; treat these as blockers rather than silently proceeding.
Feasibility Study Consultant Advanced Features
- Six-step decision workflow: Moves from structured intake and method selection through research, assumption testing, and gated recommendations; an early red line can stop unnecessary analysis.
- Method selection by decision question: Matches methods to feasibility, economic viability, option comparison, or execution-path questions instead of applying every framework indiscriminately.
- Mandatory current-source research: Requires due diligence before drafting conclusions, independent-source cross-checks for key data, source grading, and transparent treatment of conflicting evidence.
- Assumption prioritization: Ranks assumptions by impact multiplied by uncertainty, defines measurable evidence thresholds, and records validation status, owner, and deadline.
- Scriptable review gates: The dependency-free scorecard checks weighted criteria, thresholds, and critical assumptions; the ledger can flag unresolved high-impact assumptions for automation workflows.
- Flexible decision outcomes: Distinguishes Go, Conditional Go, and No-Go recommendations and supports Hold or Recycle decisions when timing or evidence is insufficient.
- Audience-specific reporting: Adapts decision criteria and report emphasis for executives, investors, lenders, or government reviewers.
- Reusable report and intake assets: Includes a project card, question bank, decision-gate checklist, assumption ledger, and method library to make Openclaw Skills feasibility reviews more consistent and auditable.
SKILL.md
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