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Auditer les serveurs et clients SSH pour les algorithmes faible…

Inspectez un point de terminaison ou une configuration SSH à la recherche de chiffrements obsolètes, de choix d'échange de clés et de lacunes de durcissement avant toute exposition ou mise à niveau.

Qu'est-ce que Auditer les serveurs et clients SSH pour les algorithmes faible… ?

Cette compétence permet d'auditer les serveurs et clients SSH à l'aide de l'outil `ssh-audit` afin de détecter les algorithmes faibles, les chiffrements obsolètes, les échanges de clés risqués et les dérives de configuration par rapport aux bonnes pratiques de sécurité. Elle est utile pour les administrateurs systèmes, les ingénieurs sécurité et les développeurs qui souhaitent évaluer la robustesse de leur infrastructure SSH avant une exposition publique ou une mise à niveau. La compétence prend en charge les audits standards et basés sur des politiques, et fonctionne via Docker ou une installation Python directe. En exécutant `ssh-audit` sur un hôte ou un fichier de configuration, elle génère un rapport détaillé des faiblesses identifiées, facilitant ainsi le durcissement des accès SSH.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/audit-ssh-servers-and-clients-for-weak-algorithms-and-risky-config-drift-with-ssh-audit
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Aperçu

Depuis le README du skill

Téléchargements Docker

Documentation

Auditer les serveurs et clients SSH pour les algorithmes faibles et les dérives de configuration risquées avec ssh-audit

Inspectez un point de terminaison ou une configuration SSH à la recherche de chiffrements obsolètes, de choix d'échange de clés et de lacunes de durcissement avant toute exposition ou mise à niveau.

Prérequis

Python 3 ou binaire pré-packagé, accès réseau aux cibles SSH

Installation

Utilisez la méthode d'installation officielle ou le chemin de configuration adapté à votre environnement :

  • $ docker pull positronsecurity/ssh-audit

Exigences et mises en garde issues de la source officielle :

  • Téléchargements Docker
  • supporte Python 3.9 - 3.13 ;
  • -m, --manual affiche la page de manuel (Docker, PyPI, Snap et Windows)

Notes de base ou de démarrage :

Documentation

Source

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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ACF Extended for Advanced Custom Fields Workflows

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ACF to Gutenberg Block Migrator

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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