Mistral
Mistral AI efficient open models. Use for efficient AI.
Install
$ agentstack add skill-g1joshi-agent-skills-mistral ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-g1joshi-agent-skills-mistral) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Mistral
Mistral AI focuses on efficiency and coding capabilities. Their "Mixture of Experts" (MoE) architecture (Mixtral) changed the game.
When to Use
- Coding: Mistral Large 2 (Codestral) is specifically optimized for code generation.
- Efficiency: Mixtral 8x7B offers GPT-3.5+ performance at a fraction of the inference cost.
- Open Weights: Apache 2.0 licenses (for smaller models).
Core Concepts
MoE (Mixture of Experts)
Only a subset of parameters (experts) are active per token. High quality, low compute.
Codestral
A model trained specifically on 80+ programming languages.
Le Chat
Mistral's chat interface (chat.mistral.ai).
Best Practices (2025)
Do:
- Use
codestral-mamba: For infinite context window coding tasks (linear time complexity). - Deploy via vLLM: Mistral models run exceptionally well on vLLM.
Don't:
- Don't ignore small models: Mistral NeMo (12B) is surprisingly capable for RAG.
References
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: G1Joshi
- Source: G1Joshi/Agent-Skills
- License: MIT
- Homepage: https://skills.sh/g1joshi/agent-skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.