59/100 (Medium)

OpenClaw： suspicious
VirusTotal： benign
StaticScan： unknown

OpenClaw： suspicious

The skill is broadly coherent with a prompt-engineering guide and has no privileged requirements, but the SKILL.md contains detected prompt-injection patterns (e.g., 'ignore-previous-instructions') an...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

{
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        "changelog": "Initial release: Complete framework for prompt engineering with practical templates and best practices.\n\n- Introduces the CRAFT framework for designing clear, role-aware, actionable, focused, and testable prompts.\n- Presents a 4-layer prompt architecture covering system context, task definition, context injection, and output shaping.\n- Provides practical templates for each layer, including persona design, constraint-based prompts, and few-shot examples.\n- Covers advanced techniques: chain-of-thought reasoning, prompt chaining for multi-step pipelines, and structured extraction.\n- Includes safety and guardrail patterns to ensure robust and reliable prompt outcomes.",
        "changelogSource": "auto",
        "createdAt": 1772317709009,
        "version": "1.0.0"
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    "owner": {
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    "ownerHandle": "1kalin",
    "skill": {
        "_creationTime": 1772317709009,
        "_id": "kd77y75969bjhfw26d74k7q57d8205yf",
        "badges": [],
        "createdAt": 1772317709009,
        "displayName": "Prompt Engineering Mastery",
        "latestVersionId": "k97fh7g4wyjfdkeqcc084s7551820vbe",
        "ownerUserId": "kn76xhdy26wp3h8djks2hnskj18130kg",
        "slug": "afrexai-prompt-mastery",
        "stats": {
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        "summary": "Comprehensive system for designing, testing, optimizing, and managing clear, role-aware, actionable, focused, and testable prompts for AI models.",
        "tags": {
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            "prompt": "k97fh7g4wyjfdkeqcc084s7551820vbe"
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