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Claude AI Security Skills
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<blockquote data-quote="රෝසි ආච්චි" data-source="post: 31588438" data-attributes="member: 384232"><p>Prompt එක ලිව්වෙ මම <img class="smilie smilie--emoji" loading="lazy" alt="✅" title="Check mark button :white_check_mark:" src="https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/2705.png" data-shortname=":white_check_mark:" /></p><p></p><p><img src="https://media0.giphy.com/media/v1.Y2lkPTg5ZGEwMjhjMDdiOGRkeDh5cnozM21tbmYzbG93NmJudXJiOThrMDl1cXpib3IyaiZlcD12MV9naWZzX3NlYXJjaCZjdD1n/m6czTOLgtYzjG/200.gif" alt="laughs GIF" class="fr-fic fr-dii fr-draggable " style="" /></p><p></p><p>The whole thing landed as one "Add files via upload" commit with no history, no iteration, no typos, and nine reference files of near-identical length (5–8 KB each) with the same voice and the same checkbox format throughout. Humans writing 60 KB of checklists over time leave fingerprints: inconsistent formatting, a section that's twice as long because it's their specialty, stale references, the odd personal opinion. This has none of that. Every framework gets equal, encyclopaedic, evenhanded coverage, which is what a model produces when asked to "write a security skill covering X, Y, Z."</p><p></p><p>The grep block is another giveway: it looks like a regex list but contains prose fragments like "for tokens/passwords" and "(hardcoded values)" mixed in. A human who actually runs those greps would have noticed they don't work. A model writing what a grep list <em>should look like</em> produces exactly that.</p><p></p><p>The SKILL.md frontmatter and the "Use / Layout / Customise" README structure follow Anthropic's skill-authoring conventions very closely, which suggests it was produced with Claude (or Claude Code) following the skill-creator guidance. The "Claude-specific tips" section at the end of ai-llm.md points the same way.</p></blockquote><p></p>
[QUOTE="රෝසි ආච්චි, post: 31588438, member: 384232"] Prompt එක ලිව්වෙ මම ✅ [IMG alt="laughs GIF"]https://media0.giphy.com/media/v1.Y2lkPTg5ZGEwMjhjMDdiOGRkeDh5cnozM21tbmYzbG93NmJudXJiOThrMDl1cXpib3IyaiZlcD12MV9naWZzX3NlYXJjaCZjdD1n/m6czTOLgtYzjG/200.gif[/IMG] The whole thing landed as one "Add files via upload" commit with no history, no iteration, no typos, and nine reference files of near-identical length (5–8 KB each) with the same voice and the same checkbox format throughout. Humans writing 60 KB of checklists over time leave fingerprints: inconsistent formatting, a section that's twice as long because it's their specialty, stale references, the odd personal opinion. This has none of that. Every framework gets equal, encyclopaedic, evenhanded coverage, which is what a model produces when asked to "write a security skill covering X, Y, Z." The grep block is another giveway: it looks like a regex list but contains prose fragments like "for tokens/passwords" and "(hardcoded values)" mixed in. A human who actually runs those greps would have noticed they don't work. A model writing what a grep list [I]should look like[/I] produces exactly that. The SKILL.md frontmatter and the "Use / Layout / Customise" README structure follow Anthropic's skill-authoring conventions very closely, which suggests it was produced with Claude (or Claude Code) following the skill-creator guidance. The "Claude-specific tips" section at the end of ai-llm.md points the same way. [/QUOTE]
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