Agent skill

Antinet Security Scan

by anbeime in anbeime/skill

信息安全分析师与软件开发工程师在搭建文档处理流水线时,当需要拦截违规文件或外部URL,请挂载此技能作为强制前置安检,自动输出 pass/reject 判定与详细合规扫描报告,一键守住零信任安全底线。

Apache-2.0Auto-check passedSecurity

Install Antinet Security Scan

skills CLI
$ npx skills add anbeime/skill --skill antinet-security-scan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install anbeime/skill antinet-security-scan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/antinet-security-scan .claude/skills/antinet-security-scan && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
antinet-security-scan
GitHub stars
7.6k
Token cost
~321 tokens
SKILL.md length
64 words
Files
3 (incl. scripts)
Skills in repo
57
Repo updated
First seen
Licence
Apache-2.0

At a glance

信息安全分析师与软件开发工程师在搭建文档处理流水线时,当需要拦截违规文件或外部URL,请挂载此技能作为强制前置安检,自动输出 pass/reject 判定与详细合规扫描报告,一键守住零信任安全底线。

  • Tasks that involve Security review
  • SKILL.md covers 使用方式, 输入(Input), 输出(Output) and 依赖(Dependencies), plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

Antinet Security Scan is an agent skill from anbeime/skill. 信息安全分析师与软件开发工程师在搭建文档处理流水线时,当需要拦截违规文件或外部URL,请挂载此技能作为强制前置安检,自动输出 pass/reject 判定与详细合规扫描报告,一键守住零信任安全底线。

Its SKILL.md is about 320 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/run_security_scan.py`).

It sits in Security, covering Security review. It works with Python. The repository describes itself as: 收录最全、更新最快的技能Skills商店:精选原创技能包(涵盖文档处理、内容创作、编程开发、机器学习、自动化工作流),全部打包好可直接安装使用!同时自动抓取GitHub上万个Skills项目,按分类、更新时间、Star数量整理。The most comprehensive and frequently updated AI Agent skill… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Security review

Example prompts

  • “/antinet-security-scan”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit b8dadc0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Antinet Security Scan loads about 321 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 64 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~321

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from anbeime/skill at commit b8dadc0, republished under its Apache-2.0 licence (© anbeime). 64 words, ~321 tokens.

Download SKILL.mdSave it as .claude/skills/antinet-security-scan/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
antinet-security-scan
description
信息安全分析师与软件开发工程师在搭建文档处理流水线时,当需要拦截违规文件或外部URL,请挂载此技能作为强制前置安检,自动输出 pass/reject 判定与详细合规扫描报告,一键守住零信任安全底线。
assign_when
该 Worker 是文档入口的安全守门人,负责域名黑名单、OA 许可校验与可疑来源拦截;任何文件进入系统前必须经其把关。

合规安检 Skill(锦衣卫)

使用方式

  • 由锦衣卫 Worker 在收到文件/URL 时调用,作为流水线的第一道闸门。
  • 输出结构化判定(pass / reject),并写入 provenance 交由太史阁留痕。

输入(Input)

  • target:待检对象,二选一
    • 本地文件路径(PDF / PPT / Excel / Word / 图片)
    • 外部 URL(需先解析域名)
  • policy_ref:(可选)覆盖默认策略的合规规则集引用

输出(Output)

  • verdict:pass 或 reject
  • report:安全扫描报告,含命中的黑名单项、许可状态、风险等级
  • trace_id:本次扫描的 provenance 追踪 ID(用于太史阁留痕)

依赖(Dependencies)

  • Sci-Hub 等已知违规域名黑名单(本地 CSV/JSON)
  • OA 文档许可校验库(本地规则)
  • 文件类型探测(python-magic)

失败处理(Failure Handling)

  • 扫描服务不可用:拒绝文件并告警,绝不降级放行(零信任底线)。
  • 文件类型无法识别:标记 reject 并写入原因,交由管理员确认。
  • 黑名单库读取失败:回退到「全拒 + 告警」保守策略,并提示运维修复。

复用价值(Reuse Value)

  • 与具体业务解耦:任何文档处理系统(RAG、知识库、合同审查)均可直接挂载此 Skill 作入口安检。
  • 判定标准可配置:通过替换 policy_ref 适配不同行业的合规基线。

复赛代码包执行(runnable package)

  • 真实入口:scripts/run_security_scan.py
  • 执行等价于 core.runtime.AgentSession.run_stage("security-scan"),调用 security.jinyiwei.JinYiWeiAgent(纯 Python,零外部依赖,可离线运行)。
  • 运行:python skills/security-scan/scripts/run_security_scan.py
  • 产物:examples/snse_survey/skill_outputs/security_scan.json(黄卡 + 扫描报告)。

© anbeime, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/antinet-security-scan of anbeime/skill.

  • SKILL.md
  • LICENSE
  • scripts/run_security_scan.py

Open the folder on GitHubat commit b8dadc0

Compare with similar skills

Antinet Security Scan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Antinet Security Scan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Antinet Security Scan this skillanbeime/skill7.6k—~321Automated safety check: PassApache-2.0
Security AuditTheDecipherist/claude-code-mastery550—~1.3kAutomated safety check: NotesMIT
Vpn Security CheckSergei-thinker/vpn-setup189—~1.5kAutomated safety check: NotesMIT
Security Setupluongnv89/skills131—~4.5kAutomated safety check: PassMIT
Performing Ssl Tls Security Assessmentmukul975/Anthropic-Cybersecurity-Skills34k—~597Automated safety check: PassApache-2.0
Security Auditoreigent-ai/eigent15k—~1.8kAutomated safety check: NotesApache-2.0

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Works with

Categories

Questions about Antinet Security Scan

What does Antinet Security Scan do?

信息安全分析师与软件开发工程师在搭建文档处理流水线时,当需要拦截违规文件或外部URL,请挂载此技能作为强制前置安检,自动输出 pass/reject 判定与详细合规扫描报告,一键守住零信任安全底线。. Antinet Security Scan is an agent skill from anbeime/skill.

When should I use Antinet Security Scan?

Antinet Security Scan fits situations like: tasks that involve Security review.

How do I install Antinet Security Scan in Claude Code?

Run `npx skills add anbeime/skill --skill antinet-security-scan -a claude-code`. Or copy the skill folder (skills/antinet-security-scan in anbeime/skill) into .claude/skills/antinet-security-scan in your project. Claude Code loads it when a task matches its description.

How do I install Antinet Security Scan in Codex?

Run `npx skills add anbeime/skill --skill antinet-security-scan -a codex`. Or copy the skill folder (skills/antinet-security-scan in anbeime/skill) into .agents/skills/antinet-security-scan in your project. Codex loads it when a task matches its description.

Can I use Antinet Security Scan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add anbeime/skill --skill antinet-security-scan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/antinet-security-scan, .gemini/skills/antinet-security-scan, .github/skills/antinet-security-scan and .opencode/skills/antinet-security-scan in your project.

What does Antinet Security Scan need to run?

Going by SKILL.md and its folder, Antinet Security Scan needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Antinet Security Scan access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Antinet Security Scan safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Antinet Security Scan use?

Antinet Security Scan is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Antinet Security Scan use?

About 321 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Antinet Security Scan?

Skills that share tags, products or a category with Antinet Security Scan: Security Audit (TheDecipherist/claude-code-mastery, 550 stars), Vpn Security Check (Sergei-thinker/vpn-setup, 189 stars), Security Setup (luongnv89/skills, 131 stars) and Performing Ssl Tls Security Assessment (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Antinet Security Scan?

anbeime (a GitHub user) maintains it in anbeime/skill, which has 7,605 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on October 6, 2026.

Source: anbeime/skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.