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LuisSambranoLuisSambrano/antigravity-config/skills/core/api-security/skill.md

api-security

Skill8 starsChanged 9 months agoNo licenceView on GitHub

Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities

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30 other projects use a version of this, 2 of them edited.

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Projects with it also use binary-diff, js-reverse and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • DorianGalloSkill

    binary-diff

    跨版本符号迁移与二进制差分。当你有旧版本的符号/逆向结果,需要快速迁移到新版本时使用。 适用场景:内核缺 PDB 用旧版符号推导、程序更新后批量迁移函数名、应用更新后快速定位新偏移。 核心方法:用 LLM 做结构化差异比对,程序化输入输出,成本极低(200 函数 ~1 元)。 触发关键词:符号迁移、bindiff、跨版本、PDB 缺失、函数偏移迁移、symbol migration、binary diff、版本对比。

    Also in 7 projects that use this

  • DorianGalloSkill

    js-reverse

    Also in 7 projects that use this

  • Roshu18Skill

    pentest-tools

    Tool selection policy for BearStrike based on target type, scan risk, and signal strength.

    Also in 7 projects that use this

  • hardw00tSkill

    llm-security

    LLM and AI application security testing skill for prompt injection (direct, indirect, multimodal), system-prompt extraction, RAG poisoning, memory poisoning, MCP server injection, skill-file injection, agentic tool misuse, computer-use UI injection, and excessive agency. Authorization required — this skill tests AI systems you are explicitly permitted to assess. Triggers on requests to test LLM / AI-agent / RAG / MCP / computer-use security, perform prompt injection, extract system prompts, poison RAG or memory, audit agent tool use, or evaluate AI guardrails.

    Also in 7 projects that use this

  • +8 more from DorianGallo

The file

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We split this skill into the rules it gives an agent

24 rules. 0 are common, 24 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 20 edited versions we read keep these.

  • 24

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 20 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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