Mistral Bounded First Request
SkillDev toolsValidate one minimal Mistral chat request with pinned inputs, usage evidence, and zero sensitive data. Use when proving a new integration path. Trigger with "Mistral hello world", "test my Mistral setup", or "make a first Mistral request".
Use Mistral Bounded First Request in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Mistral Bounded First Request and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Mistral Bounded First Request skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/mistral-hello-world/SKILL.md and read by Ahel’s review.
Overview
Prove the smallest useful chat path without turning a quickstart into production authority. Build offline, use synthetic text, capture content-free evidence, and stop after one approved response.
Prerequisites
- A configured server-side
MISTRAL_API_KEYreference. - A current model identifier selected from account-visible evidence.
- Approval for one billable request and a non-sensitive synthetic prompt.
Current Contract
The current chat surface is POST /v1/chat/completions. A request includes a model and messages; response and usage shapes come from the current endpoint schema. Model aliases and availability are mutable.
Authentication
Resolve the key only at runtime through the trusted client boundary. Do not print the key, headers, prompt, or response content in the receipt.
Instructions
- Inspect runtime and dependency lock before selecting the official client.
- Resolve an allowed model dynamically; do not rely on an old price or context table.
- Construct one deterministic message containing no secrets, personal data, or customer content.
- Review parameters and maximum output before authorizing the live call.
- Execute once after approval; record status, latency, returned model, finish reason, and usage.
- Dispose of response content unless the approved plan explicitly retains the synthetic sample.
Tool Discipline
Use Read, Glob, and Grep to inspect code, locks, configuration, tests, and evidence. Use Write and Edit only for approved repository changes. Invocation alone does not authorize network calls, paid usage, uploads, stateful resources, admin mutations, deployments, or deletion.
Approval Boundaries
Require approval for the live call, model, output bound, and retained response. Do not add retries, tools, files, or stateful resources.
Error Handling
401is a configuration problem, not a reason to reveal a credential.429requires current workspace evidence, not immediate repeated calls.- Model-not-found requires fresh discovery; never silently fall back to a costlier model.
Output
Return endpoint, requested/returned model, result class, latency, finish reason, usage, retention decision, and rollback. Redact content and credentials.
Examples
- Prove staging with the prompt
Reply with the word ready. - Report
request_count=1; content_retained=no; usage_recorded=yes.
Validation
Assert exactly one request, recognized shape, bounded output, usage capture, no sensitive data, no logging, and no fallback.
Resources
- Current first-party evidence map — recheck dated sources before relying on mutable endpoints, models, limits, prices, preview status, or retention.
- Record live account observations as environment-specific evidence, not universal Mistral guarantees.
Signals
- GitHub stars
- 3k
- Forks
- 415
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
mistral-hello-world- Source
- github.com/jeremylongshore/tons-of-skills-marketplace
github.com/jeremylongshore/tons-of-skills-marketplace