Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add PrendsTaPart/Plugin-Claude-MCP-BraindCode-/plugin install foodeatupWrote 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-/caisse-du-jour)<a href="https://agentmods.dev/skills/prendstapart/plugin-claude-mcp-braindcode-/caisse-du-jour"><img src="https://agentmods.dev/badge/skills/prendstapart/plugin-claude-mcp-braindcode-/caisse-du-jour/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-/caisse-du-jour"><img src="https://agentmods.dev/badge/skills/prendstapart/plugin-claude-mcp-braindcode-/caisse-du-jour.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 | $0.00000 | $0.00911 |
| Opus 5 | $0.00000 | $0.00456 |
| Sonnet 5 | $0.00000 | $0.00182 |
| Haiku 4.5 | $0.00000 | $0.00091 |
Grade A, and why
caisse-du-jour 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 9d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Caisse du jour (POS FoodEatUp)
Cycle ouverture → encaissements → rapport → clôture Z. Argent réel : chaque encaissement et la clôture sont confirmés. Rien d'inventé (montants, modes, rendu viennent du serveur).
Étape 0 — Références et établissement (obligatoire)
- Charger
${CLAUDE_PLUGIN_ROOT}/reference/directives-outils.mdet l'appliquer. - S'assurer d'avoir l'
establishment_id(le demander si absent). - Un encaissement/une clôture exige un opérateur (
operator_id= employé avec la permission caisse) — le résoudre vialist_employeessi besoin, jamais deviné.
1. Ouvrir la caisse
open_pos_session : opening_float (fond de caisse), operator_id. Vérifier qu'aucune
session n'est déjà ouverte (get_pos_session) avant d'ouvrir.
2. Encaisser une note
record_pos_payment : order_id, amount, method ∈
especes/carte/titre_restaurant/cheque, operator_id ; tendered (espèces, pour
le rendu). Argent réel → confirmation avant l'appel.
titre_restaurant: jamais de rendu (ne pas renseigner un rendu).- La note est soldée quand le reste dû = 0 — vérifier avec
list_pos_payments(paiements, montants, rendu, reste dû) plutôt que de supposer.
3. Rapport de caisse (X / Z)
get_pos_report : sans session_id = rapport X (session en cours) ; avec
session_id = rapport Z (session clôturée). CA, ticket moyen, par mode, par
opérateur, TVA, remises — restitués tels quels.
4. Clôturer (Z)
get_pos_session pour l'état, puis clôture Z : close_pos_session (operator_id,
confirm ; counted_cash optionnel pour le comptage des espèces, écart calculé par le
serveur). Le serveur exige confirm:true → le skill résume le rapport X à
l'opérateur (CA, écart annoncé) puis confirme, jamais confirm:true d'office.
Après clôture, présenter le Z (get_pos_report avec le session_id).
Ardoises clients ouvertes (soldes dus) :
list_pos_tabs— le règlement se fait en caisse (record_pos_payment).
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.
- 9d ago First seen · 63 lines · 0 tokens per session scan A d0bbf043863c
caisse-du-jour is a skill published in the GitHub repository PrendsTaPart/Plugin-Claude-MCP-BraindCode- (8 stars, last pushed 15d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 911 tokens. 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.