demand-validator

demand-validator is a skill for Claude Code, Codex from Ertinox7711/SGRR-AGI-V2. It costs 0 tokens per session (1,461 once invoked), scanned A, original, MIT.

A local tool for checking demand for an online-store product or search term using Google Trends, Google and Amazon suggestions, and optionally search-competition data. It reports a score, a GO/WATCH/SKIP decision, confidence, and an optional profit check.

In plain words
What is it for?
Use it to research product ideas and keywords before adding them to an online store, including trend, seasonality, purchase intent, and margin checks.
Why use it?
It helps avoid adding products based only on guesses by checking trends, buying interest, competition, and whether advertising costs could outweigh profit.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to research product ideas and keywords before adding them to an online store, including trend, seasonality, purchase intent, and margin checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ertinox7711/sgrr-agi-v2/demand-validator
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.

Any agent
npx skills add Ertinox7711/SGRR-AGI-V2 --skill demand-validator
Clone the repo
git clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2

Made for: Claude Code, Codex.

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 demand-validator

README.md
[![agentmods](https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/demand-validator/github.svg)](https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/demand-validator)
Your own site
<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/demand-validator"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/demand-validator/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.

agentmods 80×15 button for demand-validator

Your own site · 80×15
<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/demand-validator"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/demand-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,461 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00000 $0.01461
Opus 5.5 $0.00000 $0.00584
Sonnet 5.5 $0.00000 $0.00292
Haiku 4.5 $0.00000 $0.00146

Measured 1mo ago against content hash 8893ea950fe9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

demand-validator 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 1mo 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.

skills/demand-validator/SKILL.md · 80 lines

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.

Demand Validator

Outil local de validation de demande produit e-com. Stdlib-only, gratuit, sans clé API. Vit dans C:\Users\YOU\Documents\BUSINESS\recherche produit\.

Quand l'utiliser

  • Valider la demande d'un produit / mot-clé avant de l'ajouter au store
  • Lire tendance (12 mois) + saisonnalité (5 ans, pic/creux) d'un mot-clé
  • Mesurer l'ampleur d'intention d'achat (autocomplete Google + Amazon)
  • Donner un verdict chiffré GO / WATCH / SKIP + niveau de confiance
  • Vérifier le gate marge : CPC×150 (CPA pire-cas) vs marge nette (prix − coût − 10% frais)

CLI (ce que TOI Claude tu appelles dans les autres conversations)

Depuis C:\Users\YOU\Documents\BUSINESS\recherche produit\ :

PYTHONIOENCODING=utf-8 python demand_validator.py "remontoir montre" --gl fr --json

Options : --gl fr|us|de|uk|es · --hl <langue> · --price X --cost Y --cpc Z (gate marge) · --seed-keyword "montre automatique" --seed-volume 40000 (estimation volume par ancrage Trends) · --amazon-fr (vraie largeur amazon.fr via Playwright, lent) · --no-scout · --no-cache

Sortie --json = dict : score, verdict, confidence, partial, signals_known, detail.S1..S8 (chaque signal : level GO/WATCH/SKIP/?, why), cpa_gate, manual_checks, disclaimer. Sans --json = rapport lisible FR.

Cache disque 24h (demand_cache.json) → 2e appel instantané + évite le 429 Google Trends.

Les 8 signaux (poids)

Signal Source Poids
S1 Tendance 12m (hausse/stable/déclin) Google Trends 1.5
S2 Saisonnalité (ratio bas/haut, pic) Google Trends 5y 1.5
S3 Volume cumulé estimé (si seed fourni) Trends ancrage 2.0
S4 Concurrence ecom serp_scout c2 1.5
S5 Anti-marques (kill switch) serp_scout c5 1.5
S6 Intention d'achat Google Google Suggest 1.0
S7 Demande physique Amazon Amazon Suggest 0.5
S8 Viabilité Search (ads texte) serp_scout c12 0.5

Score = signaux connus renormalisés sur 100. GO exige ≥5 signaux mesurés (sinon bridé à WATCH — un 100/100 sur 2 signaux ne prouve rien). Kill switches : S5 SKIP, ou (S3 SKIP & prix<200€), ou (S1+S2 SKIP).

Read the full file on GitHub · 80 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. 1mo ago First seen · 80 lines · 0 tokens per session scan A 8893ea950fe9

Subscribe to this mod's changes

demand-validator is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,461 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 2026-09-09.