algokiller-plugin: ARM64 trace evidence analysis & cipher algorithm recovery

by icloudza · MCP Server · ★ 80

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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How to install algokiller-plugin

git clone https://github.com/icloudza/algokiller-plugin

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 65/100

None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

arm64binary-analysisclaude-codeclaude-desktopcryptanalysisfridagumtracemcpreverse-engineeringtrace-analysis

Quick Facts

Stars80
Forks24
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score65/100
Last Updated2026-05-14
Created2026-05-11
Platformsclaude-code, mcp, python
Est. Tokens~40k

About algokiller-plugin

algokiller-plugin 语言:中文 | English 面向 ARM64 trace 证据分析与算法/密文还原的 Claude 插件(同时兼容 Claude Code CLI 与 Claude Desktop App)。把 AlgoKiller 方法论打包为 skill,配本地 MCP server 驱动 native 引擎(14 个 subcommand,专攻 GB 级 trace)。 方法论 + aksearch 引擎原作:AlgoKiller by @lidongyooo 上游贡献 / / 三个核心子命令(mmap + BMH + 行号索引 + tab 协议 daemon)以及原始方法论 harness。 本仓库在此之上额外扩展了 11 个 native 子命令( / / / / / / / / / / ,详见...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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