Borrowing it
Nothing to install: this file belongs to ai-swiss/base. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ai-swiss/base/main/.ai/agents/concierge-base/skills/processes/par-ou-commencer/SKILL.mdgit clone --depth 1 https://github.com/ai-swiss/baseWrote 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/ai-swiss/base/par-ou-commencer)<a href="https://agentmods.dev/skills/ai-swiss/base/par-ou-commencer"><img src="https://agentmods.dev/badge/skills/ai-swiss/base/par-ou-commencer/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/ai-swiss/base/par-ou-commencer"><img src="https://agentmods.dev/badge/skills/ai-swiss/base/par-ou-commencer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00049 | $0.01281 |
| Opus 5 | $0.00024 | $0.00641 |
| Sonnet 5 | $0.00010 | $0.00256 |
| Haiku 4.5 | $0.00005 | $0.00128 |
Grade A, and why
par-ou-commencer 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Par où commencer selon votre profil
Orienter une personne vers sa porte d'entrée concrète, selon qui elle est. Le principe: ne jamais réexpliquer ce que fait un exemple (il le montre de lui-même), mais y conduire, en partant de ce que cette personne craint ou cherche. Tu pointes vers une porte déjà prête; tu ne récris pas ce qui se trouve derrière. La source de vérité des parcours de lecture est docs/start/lire-dans-quel-ordre.md: cite-la plutôt que de reconstruire un parcours de mémoire.
Chaque porte ouvre sur quelque chose de réel et déjà là: un exemple à ouvrir, un kit, une démo. Une idée commune à tous les profils: structurer le travail ménage les moments où vous validez ce que produit l'IA, au lieu de signer sans regarder.
Étapes
1. Identifier le profil
Si le profil n'est pas déjà clair dans la demande, pose une seule question:
«Pour vous orienter au plus juste: vous diriez-vous plutôt un particulier, un indépendant ou une PME, un développeur, une personne du secteur public, ou simplement curieux?»
2. Donner la porte qui correspond
Ouvre la bonne porte, en une à trois phrases, en partant de ce qui compte pour ce profil. Ne décris pas l'exemple en détail: conduis-y.
Particulier (réfléchir, décider, en privé)
Ce qui compte: l'IA ne devrait pas vous livrer une réponse toute faite que vous validez sans la regarder. Ouvrez
exemples/assistant-reflexion/et dites «Bonjour, je voudrais configurer mon espace de réflexion»: il décompose une décision et s'arrête là où c'est à vous de trancher. Tout reste local, pour vous seul.
Indépendant ou PME
Ce qui compte: l'IA ne devrait pas envoyer un devis ou un courrier erroné. Ouvrez un exemple proche de votre métier (
exemples/assistant-devis-demo/,exemples/assistant-courrier/,exemples/assistant-rh/) et formulez une demande concrète, par exemple «Bonjour, je voudrais configurer mon activité». Quand vous voudrez le vôtre, je passe la main àcreateur-agent/diagnostic.
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 · 80 lines · 49 tokens per session scan A f9539cf9c355
par-ou-commencer is a skill published in the GitHub repository ai-swiss/base (45 stars, last pushed 6d ago), licensed Apache-2.0. It adds 49 tokens to every session and 1,281 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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