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BF project-generator

Automatically transform requirement documents or natural language descriptions into complete full-stack projects (Java backend + Vue frontend) with MANDATORY interactive tech stack selection. Supports database schema design, REST API generation, CRUD operations, user authentication, and project scaffolding. ⚠️ TECH STACK SELECTION IS MANDATORY - Users MUST explicitly select or confirm each option, cannot skip by pressing Enter. Use when: (1) Converting PRD/requirements into working code, (2) Rapid prototyping of web applications, (3) Generating boilerplate projects from descriptions, (4) Bootstrapping CRUD applications, (5) Creating MVP projects from text specifications.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 18 files body ≈ 4 347 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Automatically transform requirement documents or natural language descriptions into complete full-stack projects (Java backend + Vue frontend) with MANDATORY…

As a process F 40/100 · Will not run — References files that are not bundled: assets/templates/spring-boot/, assets/templates/vue-vite/, assets/templates/vue-cli/

GeneratorDockerPostgreSQLMySQLSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: assets/templates/spring-boot/, assets/templates/vue-vite/, assets/templates/vue-cli/
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Automatically transform requirement documents or natural language … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning missing-ref reference to a missing file: assets/templates/spring-boot/
  • warning missing-ref reference to a missing file: assets/templates/vue-vite/
  • warning missing-ref reference to a missing file: assets/templates/vue-cli/
  • warning missing-ref reference to a missing file: assets/templates/docker/
  • warning missing-ref reference to a missing file: scripts/generate-database.py
  • warning missing-ref reference to a missing file: assets/ui-presets/element-plus.json
  • warning missing-ref reference to a missing file: assets/ui-presets/ant-design.json
  • warning missing-ref reference to a missing file: assets/ui-presets/naive-ui.json
  • note edit-residue the text marks something as outdated (lines 116, 137, 165, 180): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: assets/templates/spring-boot/, assets/templates/vue-vite/, assets/templates/vue-cli/
  • 0Tools and files. 8 referenced file(s) missing: assets/templates/spring-boot/, assets/templates/vue-vite/, assets/templates/vue-cli/
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 4347 tokens
  • 85Steps. 110 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 679: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 110 items
  • +4Has examples (15 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.