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 PrendsTaPart/Plugin-Claude-MCP-BraindCode- --skill declinaison-multi-reseauxgit clone --depth 1 https://github.com/PrendsTaPart/Plugin-Claude-MCP-BraindCode-Wrote 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/prendstapart/plugin-claude-mcp-braindcode-/declinaison-multi-reseaux)<a href="https://agentmods.dev/skills/prendstapart/plugin-claude-mcp-braindcode-/declinaison-multi-reseaux"><img src="https://agentmods.dev/badge/skills/prendstapart/plugin-claude-mcp-braindcode-/declinaison-multi-reseaux/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/prendstapart/plugin-claude-mcp-braindcode-/declinaison-multi-reseaux"><img src="https://agentmods.dev/badge/skills/prendstapart/plugin-claude-mcp-braindcode-/declinaison-multi-reseaux.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 | $0.00097 | $0.00724 |
| Opus 5 | $0.00048 | $0.00362 |
| Sonnet 5 | $0.00019 | $0.00145 |
| Haiku 4.5 | $0.00010 | $0.00072 |
Grade A, and why
declinaison-multi-reseaux 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 7d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Déclinaison multi-réseaux
Une idée-noyau → 4 déclinaisons NATIVES (LinkedIn, Facebook, Instagram, TikTok),
jamais un copier-coller raccourci. Patterns de repurpose (content-repurposer /
linkedin-repurposer, MIT — cf. NOTICE.md).
Étape 0 — contexte
Lire reference/grammaires-reseaux.md, reference/articulations.md. Charte get_brand.
1. Source → idée-noyau
Contenu source possible : un post existant, un article
(rapidocms:generation-article-blog), un transcript de vidéo/épisode. En extraire
l'idée-noyau (le message, la preuve, le CTA) — le fond commun aux 4 réseaux.
2. Quatre déclinaisons natives (délégation) — la famille peut CHANGER
Pour chaque réseau, déléguer au skill dédié (angle ajusté par grammaire, pas un
raccourci du même texte). La famille de hook peut/doit changer selon le réseau — la
matrice de reference/mecanique-des-hooks.md arbitre (le contexte d'attention diffère :
LinkedIn se lit, TikTok se voit en < 3 s). Interdiction de traduire le hook LinkedIn tel
quel en TikTok : re-choisir la famille adaptée au réseau.
- LinkedIn →
copy-linkedin(storytelling pro, CTA question). - Facebook →
copy-meta(court, local). - Instagram →
copy-meta(caption hook < 125 car. / carrousel). - TikTok →
copy-tiktok(script hook < 3 s).
Chaque déclinaison passe anti-voix-IA + gate brand-review (via son skill).
3. Lot + calendrier
create_draft_tool : lot de brouillons CMS rattachés à la même campagne (par
compte/réseau, list_connected_accounts). Proposer un calendrier de publication
(rapidocms:calendrier-editorial) — étalé, adapté aux fenêtres de chaque réseau. Jamais
de publication directe.
Passerelles
Un seul réseau → copy-linkedin / copy-meta / copy-tiktok. Planification →
rapidocms:pipeline-contenu-social + calendrier-editorial.
Règles
- Déclinaisons natives (une grammaire par réseau), jamais un copier-coller raccourci.
- Brouillons (lot, même campagne), jamais de publication ; preuves réelles ; anti-voix-IA
- gate marque via chaque skill.
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.
- 7d ago First seen · 54 lines · 97 tokens per session scan A 3948f8493109
declinaison-multi-reseaux is a skill published in the GitHub repository PrendsTaPart/Plugin-Claude-MCP-BraindCode- (8 stars, last pushed 17d ago), licensed Apache-2.0. It adds 97 tokens to every session and 724 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…