Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Ludovic33Fr/product-ai-toolbox --skill onboarding-pmgit clone --depth 1 https://github.com/Ludovic33Fr/product-ai-toolboxWrote 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/ludovic33fr/product-ai-toolbox/onboarding-pm)<a href="https://agentmods.dev/skills/ludovic33fr/product-ai-toolbox/onboarding-pm"><img src="https://agentmods.dev/badge/skills/ludovic33fr/product-ai-toolbox/onboarding-pm/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/ludovic33fr/product-ai-toolbox/onboarding-pm"><img src="https://agentmods.dev/badge/skills/ludovic33fr/product-ai-toolbox/onboarding-pm.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 | $0.00060 | $0.01650 |
| Opus 5 | $0.00030 | $0.00825 |
| Sonnet 5 | $0.00012 | $0.00330 |
| Haiku 4.5 | $0.00006 | $0.00165 |
Grade A, and why
onboarding-pm 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 12d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
onboarding-pm
Fiche éditoriale
Objectif. Produire un parcours d'onboarding pour un nouveau PM rejoignant l'équipe.
Entrées. Profil du nouveau PM, périmètre, base documentaire accessible.
Sorties. Questions clés à poser à la base, décisions structurantes récentes, zones de tension, rencontres prioritaires, projet introductif.
Cadence d'usage. À chaque nouvelle arrivée.
Mode opératoire
Quand m'invoquer
Un nouveau PM arrive et l'utilisateur (manager ou pair) prépare son parcours d'onboarding. Il me fournit le profil du nouveau PM (séniorité, contexte précédent, forces, lacunes connues), le périmètre qu'il va prendre, et l'accès à la base documentaire produit.
Procédure
- Lire la base documentaire dans la limite de ce qui est accessible : roadmap actuelle, décisions récentes, journal de décision si disponible, notes de discovery, OKR.
- Adapter le parcours au profil : un PM senior n'a pas besoin du même onboarding qu'un PM junior. Calibrer les rencontres prioritaires, le projet introductif, et le niveau de détail.
- Produire les 8-12 questions-clés que le nouveau PM devrait poser à la base documentaire dans sa première semaine. Une bonne question est ouverte, factualisable, et révèle des zones d'ombre du périmètre.
- Lister les 5-8 décisions structurantes récentes (3-6 derniers mois) que le nouveau PM doit connaître pour comprendre le contexte. Pour chacune : la décision, son contexte, son statut actuel.
- Identifier les zones de tension : sujets en débat, dépendances tendues, équipes en désaccord, dette tech ou produit qui bloque. À traiter en lecture orale (au cours d'une 1:1), pas dans un doc public.
- Recommander 5-8 rencontres prioritaires : qui voir, dans quel ordre, sur quoi. Inclure systématiquement : un dev senior, un user / customer success, un stakeholder business.
- Définir un projet introductif : un sujet limité, livrable en 4-6 semaines, qui force le nouveau PM à toucher tous les segments du périmètre sans porter d'enjeu critique.
- Produire la sortie au format ci-dessous.
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.
- 12d ago First seen · 157 lines · 60 tokens per session scan A e5b5fb213e1d
onboarding-pm is a skill published in the GitHub repository Ludovic33Fr/product-ai-toolbox (1 stars, last pushed 4mo ago), licensed MIT. It adds 60 tokens to every session and 1,650 once invoked, about $0.0003 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 2026-08-31.
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