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prompt-engineering-patterns - 4 عمليات التدقيق
إصدار التدقيق 4
الأحدث آمنJan 17, 2026, 09:21 AM
This is a documentation-focused skill containing markdown guides and a local Python utility script for prompt optimization. The 228 static findings are false positives triggered by documentation patterns: backticks in Python code examples misinterpreted as shell commands, cryptographic terminology (SHA, MD5) mentioned in text, and references to API keys and file paths. The skill makes no network calls, has no sensitive filesystem access, and does not execute external commands. The optimize-prompt.py script uses a mock LLM client for local testing only.
10
الملفات التي تم فحصها
2,919
الأسطر التي تم تحليلها
3
النتائج
claude
تم تدقيقه بواسطة
لا توجد مشكلات أمنية
عوامل الخطر
⚙️ الأوامر الخارجية (169)
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📁 الوصول إلى نظام الملفات (3)
🌐 الوصول إلى الشبكة (1)
إصدار التدقيق 3
آمنJan 17, 2026, 09:21 AM
This is a documentation-focused skill containing markdown guides and a local Python utility script for prompt optimization. The 228 static findings are false positives triggered by documentation patterns: backticks in Python code examples misinterpreted as shell commands, cryptographic terminology (SHA, MD5) mentioned in text, and references to API keys and file paths. The skill makes no network calls, has no sensitive filesystem access, and does not execute external commands. The optimize-prompt.py script uses a mock LLM client for local testing only.
10
الملفات التي تم فحصها
2,919
الأسطر التي تم تحليلها
3
النتائج
claude
تم تدقيقه بواسطة
لا توجد مشكلات أمنية
عوامل الخطر
⚙️ الأوامر الخارجية (169)
assets/prompt-template-library.md:6-12 assets/prompt-template-library.md:12-15 assets/prompt-template-library.md:15-23 assets/prompt-template-library.md:23-26 assets/prompt-template-library.md:26-33 assets/prompt-template-library.md:33-38 assets/prompt-template-library.md:38-50 assets/prompt-template-library.md:50-53 assets/prompt-template-library.md:53-68 assets/prompt-template-library.md:68-73 assets/prompt-template-library.md:73-84 assets/prompt-template-library.md:84-87 assets/prompt-template-library.md:87-101 assets/prompt-template-library.md:101-104 assets/prompt-template-library.md:104-113 assets/prompt-template-library.md:113-118 assets/prompt-template-library.md:118-125 assets/prompt-template-library.md:125-128 assets/prompt-template-library.md:128-137 assets/prompt-template-library.md:137-140 assets/prompt-template-library.md:140-147 assets/prompt-template-library.md:147-152 assets/prompt-template-library.md:152-163 assets/prompt-template-library.md:163-166 assets/prompt-template-library.md:166-183 assets/prompt-template-library.md:183-188 assets/prompt-template-library.md:188-197 assets/prompt-template-library.md:197-200 assets/prompt-template-library.md:200-207 assets/prompt-template-library.md:207-212 assets/prompt-template-library.md:212-221 assets/prompt-template-library.md:221-224 assets/prompt-template-library.md:224-234 assets/prompt-template-library.md:234-237 assets/prompt-template-library.md:237-244 references/chain-of-thought.md:12-29 references/chain-of-thought.md:29-34 references/chain-of-thought.md:34-53 references/chain-of-thought.md:53-58 references/chain-of-thought.md:58-83 references/chain-of-thought.md:83-90 references/chain-of-thought.md:90-125 references/chain-of-thought.md:125-130 references/chain-of-thought.md:130-176 references/chain-of-thought.md:176-181 references/chain-of-thought.md:181-218 references/chain-of-thought.md:218-223 references/chain-of-thought.md:223-248 references/chain-of-thought.md:248-251 references/chain-of-thought.md:251-278 references/chain-of-thought.md:278-281 references/chain-of-thought.md:281-303 references/chain-of-thought.md:303-308 references/chain-of-thought.md:308-328 references/chain-of-thought.md:328-331 references/chain-of-thought.md:331-345 references/chain-of-thought.md:345-349 references/chain-of-thought.md:349-359 references/few-shot-learning.md:12-27 references/few-shot-learning.md:27-34 references/few-shot-learning.md:34-56 references/few-shot-learning.md:56-63 references/few-shot-learning.md:63-73 references/few-shot-learning.md:73-80 references/few-shot-learning.md:80-94 references/few-shot-learning.md:94-103 references/few-shot-learning.md:103-121 references/few-shot-learning.md:121-126 references/few-shot-learning.md:126-138 references/few-shot-learning.md:138-143 references/few-shot-learning.md:143-154 references/few-shot-learning.md:154-161 references/few-shot-learning.md:161-166 references/few-shot-learning.md:166-169 references/few-shot-learning.md:169-195 references/few-shot-learning.md:195-200 references/few-shot-learning.md:200-214 references/few-shot-learning.md:214-219 references/few-shot-learning.md:219-228 references/few-shot-learning.md:228-231 references/few-shot-learning.md:231-240 references/few-shot-learning.md:240-243 references/few-shot-learning.md:243-252 references/few-shot-learning.md:252-257 references/few-shot-learning.md:257-266 references/few-shot-learning.md:266-269 references/few-shot-learning.md:269-293 references/few-shot-learning.md:293-300 references/few-shot-learning.md:300-334 references/few-shot-learning.md:334-339 references/few-shot-learning.md:339-354 references/prompt-optimization.md:6-26 references/prompt-optimization.md:26-29 references/prompt-optimization.md:29-31 references/prompt-optimization.md:31-33 references/prompt-optimization.md:33-64 references/prompt-optimization.md:64-67 references/prompt-optimization.md:67-114 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📁 الوصول إلى نظام الملفات (3)
🌐 الوصول إلى الشبكة (1)
إصدار التدقيق 2
آمنJan 4, 2026, 05:00 PM
A documentation-focused skill with a Python utility script for prompt optimization. Contains no network calls, no sensitive filesystem access, and no external command execution. The optimize-prompt.py script is a local testing utility with a mock LLM client for demonstration.
12
الملفات التي تم فحصها
4,042
الأسطر التي تم تحليلها
0
النتائج
claude
تم تدقيقه بواسطة
لا توجد مشكلات أمنية
إصدار التدقيق 1
آمنJan 4, 2026, 05:00 PM
A documentation-focused skill with a Python utility script for prompt optimization. Contains no network calls, no sensitive filesystem access, and no external command execution. The optimize-prompt.py script is a local testing utility with a mock LLM client for demonstration.
12
الملفات التي تم فحصها
4,042
الأسطر التي تم تحليلها
0
النتائج
claude
تم تدقيقه بواسطة
لا توجد مشكلات أمنية