SEC-101-graphql-security-scanner

# GraphQL Security Scanner

 Field | Value |
|-------|-------|
| **Domain** | Cybersecurity |
| **Skill ID** | `SEC-101` |
| **Difficulty** | Beginner |
| **Exec Time** | 1–2s |
| **Skill Type** | Generative |
| **Reasoning** | Reflexion |
| **Output Format** | CSV |

### [1] Input Intelligence

- **Accepts:** `text, JSON context, workspace files, web documentation URL`
- **Intent:** Detect user intent related to *graphql security scanner*
- **Entities to Extract:** `Code Logic, Security Dependencies, User Configurations`
- **Validation:** `Validates JSON structure, verifies execution endpoints exist, asserts parameter typing`
- **Ambiguity Handler:** Ask clarifying question if confidence < 70%

### [2] Reasoning Engine

- **Strategy:** Reflexion
- **Sub-tasks:**
  1. Parse and validate the input for *graphql security scanner* context
  2. `Construct enterprise DAG strategy matching GraphQL Security Scanner`
  3. `Evaluate sub-task dependencies using static analysis`
  4. `Render verified components mapping strictly to Promptraft architecture`
  5. Synthesize results and prepare output
- **Domain Rules:** `- Must eliminate unnecessary abstractions
- Enforce strict typing
- Verify API boundary safety`
- **Fallback:** If reasoning fails → return partial result + ask user
- **Confidence Threshold:** 75% minimum to auto-proceed

### [3] Tool Execution

- **Primary Tool:** `Shodan API` — `Executes the primary heavy-lifting specific to the domain logic`
- **Secondary Tool:** `MITRE API` — `Provides validation, fallback, or post-processing security checks`
- **Execution Order:** `Parallel (unless specifically blocked)`
- **Error Handling:** Retry × 2 → fallback tool → graceful error message
- **Data Flow:** `Shodan API output → AST & Schema normalizer → MITRE API input`

### [4] Knowledge & Memory

- **Primary Source:** User History (Redis)
- **Context Injected At:** Stage 2 (Reasoning) + Stage 3 (Tool Execution)
- **Write-back:** Store `execution latency, failure rates, context compression metrics` after each run
- **Freshness Policy:** `Real-time execution memory`
- **Personalization:** `User-level context isolation`

### [5] Output Optimization

- **Format:** CSV
- **Quality Checks:** `Strict Schema JSON validation + Halucination bounds`
- **Tone:** `Technical & Direct`
- **Follow-up Suggestions:**
  - `Deploy workflow to execution environment`
  - `Deploy workflow to execution environment`
  - `Deploy workflow to execution environment`
- **Confidence Score:** Append `confidence: 96%` to output

### ⚙️ YAML Config

```yaml
skill:
  id: SEC-101
  name: "GraphQL Security Scanner"
  domain: Cybersecurity
  version: 1.0.0
  difficulty: Beginner
  type: Generative
  enabled: true
  pipeline:
    input_types: [ ]
    reasoning: Reflexion
    tools:
      primary: Shodan API
      secondary: MITRE API
    knowledge_source: User History (Redis)
    output_format: CSV
  config:
    confidence_threshold: 0.75
    max_retries: 2
    timeout_seconds: 2
    memory_write_back: true
    personalization_level: user
```

---


## 📊 Registry Summary

| Domain | Skills | Skill IDs |
|--------|--------|-----------|
| Web Development | 100 | `WEB-001` → `WEB-100` |
| Data Science | 100 | `DAT-001` → `DAT-100` |
| DevOps | 100 | `DEV-001` → `DEV-100` |
| Marketing | 100 | `MAR-001` → `MAR-100` |
| Finance | 100 | `FIN-001` → `FIN-100` |
| Healthcare | 100 | `HEA-001` → `HEA-100` |
| Legal | 100 | `LEG-001` → `LEG-100` |
| Education | 100 | `EDU-001` → `EDU-100` |
| Human Resources | 100 | `HUM-001` → `HUM-100` |
| Cybersecurity | 100 | `SEC-001` → `SEC-100` |
| **TOTAL** | **1000** | |

---

> **Next Steps:**
> 1. Fill all `[ ]` placeholders for your target skills
> 2. Register each YAML block in your platform's skill registry
> 3. Wire tool integrations in Stage 3 for each domain
> 4. Configure your vector DB / RAG pipeline for Stage 4
> 5. Run the master prompt with `Option B` to generate stack-specific variants