Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/davidmigloz/ai_clients_dartnpx agentmods add skills/davidmigloz/ai_clients_dart/openapi-mistralWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/davidmigloz/ai_clients_dart/openapi-mistral)<a href="https://agentmods.dev/skills/davidmigloz/ai_clients_dart/openapi-mistral"><img src="https://agentmods.dev/badge/skills/davidmigloz/ai_clients_dart/openapi-mistral/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/davidmigloz/ai_clients_dart/openapi-mistral"><img src="https://agentmods.dev/badge/skills/davidmigloz/ai_clients_dart/openapi-mistral.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.00448 |
| Opus 5 | $0.00017 | $0.00224 |
| Sonnet 5 | $0.00007 | $0.00090 |
| Haiku 4.5 | $0.00003 | $0.00045 |
Grade A, and why
openapi-mistral scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
86% identical to openapi-chromadb — 18 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Mistral AI OpenAPI Workflow
Prerequisites
- Auth: No auth env vars required.
- CLI:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py - Existing-package commands: run the repo-relative examples from the repository root. If you run them elsewhere, invoke the script via an absolute path and pass an absolute
--config-dir.
Workflow
- Fetch:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py fetch --config-dir packages/mistralai_dart/.agents/skills/openapi-mistral/config
Fetch writes the candidate spec to the configured output_dir as latest-<spec>.json.
2. Review:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py review --config-dir packages/mistralai_dart/.agents/skills/openapi-mistral/config
- Implement with
scaffoldplus the package references, then promote the reviewed candidate fromoutput_dir/latest-<spec>.jsonintopackages/mistralai_dart/specs/before final verification. - Verify:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py verify --config-dir packages/mistralai_dart/.agents/skills/openapi-mistral/config --checks all --scope all
Specs
| Spec | Description |
|---|---|
main |
Mistral AI API for chat, embeddings, and more |
Package References
Separate Dart Quality Steps
cd packages/mistralai_dart
dart analyze --fatal-infos
dart format --set-exit-if-changed .
dart test test/unit/
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 51 lines · 34 tokens per session scan A 4bd2e849be81
openapi-mistral is a skill published in the GitHub repository davidmigloz/ai_clients_dart (24 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 448 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to openapi-chromadb, differing in 18 lines, and is treated as a copy.
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