mercadona-cli: Unofficial, agent-friendly Mercadona shopping CLI — search products, read prices, build a cart and prepare

by ivorpad · Agent Tool · ★ 324

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 68/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsclaude-codeclicommand-linegolanggrocery-shoppingllm-toolsmercadonashopping-cartspain

Quick Facts

Stars324
Forks30
LanguageGo
CategoryAgent Tool
Quality Score68/100
Open Issues2
Last Updated2026-10-06
Created2026-06-26
Platformsclaude-code, cli, go
Est. Tokens~20k

About mercadona-cli

mercadona Unofficial, agent-friendly CLI for — search the catalog, read prices, build a cart, and check out. Single static Go binary, no runtime deps, structured output for programmatic/agent use. Unofficial. Mercadona has no public API. Bring your own credentials; use at a sane request rate. This talks to the same HTTP endpoints the website does.

Compatible Skills

These tools work well together with mercadona-cli for enhanced workflows:

  • cc9s — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • tock — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • tiger-cli — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • claude-code-go — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • kroger-mcp — semantic(0.35)+complementary+similar_pop+shared_platform (52%)

mercadona-cli alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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