retroalimentacao

retroalimentacao is a skill for Claude Code, Codex from marketingLendario/cohort-de-marketing. It costs 164 tokens per session (757 once invoked), scanned A, original, no licence file.

A report that sends real audience, sales, and customer-language data back to the beginning of the funnel. A funnel is the series of steps from attracting someone to making a sale.

In plain words
What is it for?
Producing data about audience demographics, products and prices sold, customer themes and quotations, real objections, and the best-performing material to guide future funnel work.
Why use it?
It closes the gap between campaign assumptions and observed results. The report shows who the ads reach, what sells, how customers speak, and which objections appear.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

Good fit Producing data about audience demographics, products and prices sold, customer themes and quotations, real objections, and the best-performing material to guide future funnel work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marketinglendario/cohort-de-marketing/retroalimentacao
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 marketingLendario/cohort-de-marketing --skill retroalimentacao
Clone the repo
git clone --depth 1 https://github.com/marketingLendario/cohort-de-marketing

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 retroalimentacao

README.md
[![agentmods](https://agentmods.dev/badge/skills/marketinglendario/cohort-de-marketing/retroalimentacao/github.svg)](https://agentmods.dev/skills/marketinglendario/cohort-de-marketing/retroalimentacao)
Your own site
<a href="https://agentmods.dev/skills/marketinglendario/cohort-de-marketing/retroalimentacao"><img src="https://agentmods.dev/badge/skills/marketinglendario/cohort-de-marketing/retroalimentacao/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 retroalimentacao

Your own site · 80×15
<a href="https://agentmods.dev/skills/marketinglendario/cohort-de-marketing/retroalimentacao"><img src="https://agentmods.dev/badge/skills/marketinglendario/cohort-de-marketing/retroalimentacao.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 164 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 757 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 unknown 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 $0.00164 $0.00757
Opus 5.5 $0.00066 $0.00303
Sonnet 5.5 $0.00033 $0.00151
Haiku 4.5 $0.00016 $0.00076

Measured 2mo ago against content hash da49e19d898e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

retroalimentacao 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 2mo 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.

.agents/skills/retroalimentacao/SKILL.md · 39 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 39 lines · 164 tokens per session scan A da49e19d898e

Subscribe to this mod's changes

retroalimentacao is a skill published in the GitHub repository marketingLendario/cohort-de-marketing (28 stars, last pushed 1mo ago), with no licence file. It adds 164 tokens to every session and 757 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-08-30.

Related

retroalimentacao compared with skills from other repositories

retroalimentacao next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
retroalimentacaomarketingLendario/cohort-de-marketingSkill281mo agononeA164Claude Code, Codex
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local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
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next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code