calendrier-iris

calendrier-iris is a skill for Claude Code from PrendsTaPart/Plugin-Claude-MCP-BraindCode-. It costs 77 tokens per session (716 once invoked), scanned A, original, Apache-2.0.

A seven-day view for reviewing Iris’s proposed social-media publications, including each post’s channel, timing, visual, and reason.

In plain words
What is it for?
Use it to inspect, edit, approve, reject, or schedule proposed posts and to spot suggestions whose original reason is no longer valid.
Why use it?
It keeps suggestions tied to current stock, reservations, and publishing status, while requiring a person to approve each publication.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the foodeatup-iris plugin — 6 skills, 1 agent shipped together

Install

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.

agentmods
npx agentmods add skills/prendstapart/plugin-claude-mcp-braindcode-/calendrier-iris
Any agent
npx skills add PrendsTaPart/Plugin-Claude-MCP-BraindCode- --skill calendrier-iris
Clone the repo
git clone --depth 1 https://github.com/PrendsTaPart/Plugin-Claude-MCP-BraindCode-

Made for: Claude Code.

Or install foodeatup-iris, the plugin that ships this one along with the rest of its 6 skills, 1 agent.

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.

agentmods badge for calendrier-iris

README.md
[![agentmods](https://agentmods.dev/badge/skills/prendstapart/plugin-claude-mcp-braindcode-/calendrier-iris.svg)](https://agentmods.dev/skills/prendstapart/plugin-claude-mcp-braindcode-/calendrier-iris)
Your own site
<a href="https://agentmods.dev/skills/prendstapart/plugin-claude-mcp-braindcode-/calendrier-iris"><img src="https://agentmods.dev/badge/skills/prendstapart/plugin-claude-mcp-braindcode-/calendrier-iris.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 716 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00077 $0.00716
Opus 5 $0.00039 $0.00358
Sonnet 5 $0.00015 $0.00143
Haiku 4.5 $0.00008 $0.00072

Measured 5d ago against content hash c5cdb35d9931, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

calendrier-iris 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 5d 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.

foodeatup-iris/skills/calendrier-iris/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Calendrier glissant (7 jours, pas un mois)

Un calendrier mensuel est périmé au dixième jour : le stock a changé, un plat est sorti, un créneau s'est rempli. Iris propose SEPT jours, recalculés sur les données du jour.

Affichage

  • Vue semaine : une carte par proposition — canal, jour/heure, miniature ou description du visuel, et LA RAISON en évidence (« Parce que… »). Sans la raison, la carte n'est pas montrée.
  • Source : ./rapido-kb/iris/calendrier.md (propositions et statuts) + list_drafts_tool / list_scheduled_posts (état réel côté CMS — le CMS fait foi, signaler tout écart avec le fichier local).
  • À chaque affichage : re-vérifier que la raison tient toujours (le surstock est-il encore là ? list_stocks ; le créneau toujours creux ? reservation_availability). Une raison morte = proposition retirée, dit explicitement.

Trois actions par carte

  1. Validerschedule_draft_tool (date/heure/canal). Le garde-fou du plugin exige la confirmation : c'est le SEUL chemin vers la publication, et il passe par un humain. Statut → planifie.
  2. Modifier → texte éditable, canal/horaire modifiables ; « régénérer le visuel » et « régénérer le texte » sont des actions SÉPARÉES (skill fabrique-contenu-iris), chacune avec son coût annoncé.
  3. Refuser → demander le motif en un choix rapide : pas le bon moment · pas le bon visuel · pas le bon texte · sujet non pertinent. Consigner le motif dans ./rapido-kb/iris/apprentissage.md — c'est ce qui alimente l'apprentissage (skill mesure-apprentissage-iris).

Règles

  • Fréquence maximale, canaux actifs, plages horaires autorisées et sujets interdits : lus dans ./rapido-kb/iris/parametres.md s'il existe (créé à la première demande de réglage). Une proposition hors plage n'est pas montrée.
  • Annulation d'une planification : cancel_schedules_post (garde rapidocms).
  • Aucun raccourci : pas de « valide tout » — chaque carte se valide une par une, c'est le prix de l'image publique.

Read the full file on GitHub · 53 lines

Changes

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.

  1. 5d ago First seen · 53 lines · 77 tokens per session scan A c5cdb35d9931

Subscribe to this mod's changes

calendrier-iris is a skill published in the GitHub repository PrendsTaPart/Plugin-Claude-MCP-BraindCode- (8 stars, last pushed 12d ago), licensed Apache-2.0. It adds 77 tokens to every session and 716 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

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…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens