Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add YYH211/Claude-meta-skill --skill fastgpt-workflow-generatorgit clone --depth 1 https://github.com/YYH211/Claude-meta-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yyh211/claude-meta-skill/fastgpt-workflow-generator)<a href="https://agentmods.dev/skills/yyh211/claude-meta-skill/fastgpt-workflow-generator"><img src="https://agentmods.dev/badge/skills/yyh211/claude-meta-skill/fastgpt-workflow-generator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yyh211/claude-meta-skill/fastgpt-workflow-generator"><img src="https://agentmods.dev/badge/skills/yyh211/claude-meta-skill/fastgpt-workflow-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00102 | $0.05457 |
| Opus 5 | $0.00051 | $0.02729 |
| Sonnet 5 | $0.00020 | $0.01091 |
| Haiku 4.5 | $0.00010 | $0.00546 |
Grade A, and why
fastgpt-workflow-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 755 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastGPT Workflow Generator
Automatically generate production-ready FastGPT workflow JSON from natural language requirements
When to Use This Skill
Use this skill when you need to:
- Create new workflows from scratch: User asks to "create a FastGPT workflow for X purpose"
- Generate based on templates: User wants to build workflows similar to existing patterns (document processing, AI chat, data analysis, multi-agent systems)
- Modify existing workflows: User needs to add/remove/update nodes in an existing workflow JSON
- Validate workflow JSON: User has a workflow JSON that needs verification or fixing
- Design multi-agent systems: User mentions parallel processing, agent coordination, or workflow orchestration
- Automate workflow creation: User provides requirements document and needs executable JSON
- Convert requirements to JSON: User has specifications and wants a FastGPT-compatible workflow
Trigger Keywords: FastGPT, workflow, JSON, multi-agent, 工作流, template matching, workflow automation, node configuration, workflow validation
Core Workflow
This skill follows a 5-phase process to generate production-ready workflow JSON:
Phase 1: Requirements Analysis
Goal: Extract structured requirements from natural language input
Process:
-
Identify request type:
- Create from scratch
- Based on template
- Modify existing workflow
- Validate/fix existing JSON
-
Extract key information using AI semantic analysis:
{ "purpose": "Workflow objective (e.g., 'Travel planning assistance')", "domain": "Application domain (travel/event/document/data/general)", "complexity": "simple | medium | complex", "features": ["aiChat", "knowledgeBase", "httpRequest", "parallel"], "inputs": ["userChatInput", "city", "date"], "outputs": ["Complete plan", "Recommendations"], "externalIntegrations": ["Weather API", "Feishu API"], "specialRequirements": ["Multi-agent", "Real-time data"] }
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- LESSONS_LEARNED.md 8.2 KB
- references/json_structure_spec.md 11 KB
- references/node_types_reference.md 7.7 KB
- references/template_matching.md 6.8 KB
- references/validation_rules.md 6.2 KB
- scripts/validate_workflow.js 13 KB runs code
- templates/AI金融日报.json 94 KB
- templates/README.md 7.3 KB
- templates/文档翻译助手.json 38 KB
- templates/简历筛选助手_飞书.json 106 KB
- templates/销售陪练大师.json 43 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 755 lines · 102 tokens per session scan A 53cee20c0d67
fastgpt-workflow-generator is a skill published in the GitHub repository YYH211/Claude-meta-skill (277 stars, last pushed 3mo ago), licensed MIT. It adds 102 tokens to every session and 5,457 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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