claude

LLM and Agent Security

OWASP LLM Top 10 (2026) and Agentic Top 10 (2026) when a model can see untrusted content or act with real credentials. Trust boundaries, tools, memory, MCP, supply chain, output handling, and human approval.

3 on GitHubby LeahyCCv1.0.0MITupdated 13 days ago
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Plugin llm-agent-security from marketplace leahycc-skills in LeahyCC/claude-skills. Commands read from the repo's manifest — 13 days ago.

What it installs

Skills (1)

  • llm-agent-security

    Defensive review when a model can see untrusted content or act with real credentials. Covers prompt injection as an architecture problem, tool agency, memory and compaction, MCP and inter-agent traffic, AI supply chain, output handling, and human approval. Maps the OWASP LLM Top 10 (2026) and the OW

View source on GitHub skills.sh

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OWASP API Security Top 10 (2023) and Web Top 10 (2025) with production Next.js App Router code: access control, authentication with MFA and password reset, input validation, rate limiting, security headers and CSRF, data exposure, supply chain, SSRF, file uploads, and AI tools on those APIs

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ASCII Art

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Everything drawn with text characters, for work or fun: diagrams, tables, bar charts, sparklines, banners, boxes, pictures, pixel sprites, kaomoji, game boards and mazes. Draws on a grid, hands the counting to 5 Node scripts, and checks alignment before showing.

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Code a cold reader can follow: no floating (magic) numbers or strings without a name or a unit-and-why note nearby, names that carry units and do not lie, small single-purpose functions, shallow nesting, honest comments, no dead code, and balanced ESLint tuning.

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Gotchas

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Silent bugs that pass typecheck and happy-path tests: 200 HTML fallbacks, pre-await state commits, swallowed catches, module singletons, Web API footguns, fresh-clone gaps, and false-green tests.

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Version-aware Next.js App Router guidance: component boundaries, data, caching, routing, proxy, errors, metadata, assets and migration. Scoped source review in skills/nextjs-app-router/SOURCES.md.

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Docs cut to what the reader needs: a fixed 5 layer page shape (why, picture, substance, edges, detail on demand), a cut ladder for sections, and the AI sound tells to fix. Write new docs or trim existing ones.

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claude & codex plugins19 plugins