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source-command-trafego-analise

source-command-trafego-analise is a skill for Claude Code, Codex from ReadyToGo-Education/fluxo_criativo. It costs 178 tokens per session (7,608 once invoked), scanned A, original, no licence file.

A narrated analysis command for paid traffic from Meta Ads, the advertising system for Facebook and Instagram. It produces written analysis of performance, the sales funnel, ad creative and copy, audience location and demographics, and timing using the project’s specified terms.

In plain words
What is it for?
Use it to review Meta Ads traffic, campaign performance, funnel results, creative and copy, audience details, and timing.
Why use it?
It brings several parts of paid-ad performance into one written review instead of leaving the data as isolated figures.

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).

not rated 18repo changed 17d ago A scan 178 tokens no licence

Good fit Use it to review Meta Ads traffic, campaign performance, funnel results, creative and copy, audience details, and timing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/readytogo-education/fluxo_criativo/source-command-trafego-analise
View source ↗ ReadyToGo-Education/fluxo_criativo
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 ReadyToGo-Education/fluxo_criativo --skill source-command-trafego-analise
Clone the repo
git clone --depth 1 https://github.com/ReadyToGo-Education/fluxo_criativo

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 source-command-trafego-analise

README.md
[![agentmods](https://agentmods.dev/badge/skills/readytogo-education/fluxo_criativo/source-command-trafego-analise/github.svg)](https://agentmods.dev/skills/readytogo-education/fluxo_criativo/source-command-trafego-analise)
Your own site
<a href="https://agentmods.dev/skills/readytogo-education/fluxo_criativo/source-command-trafego-analise"><img src="https://agentmods.dev/badge/skills/readytogo-education/fluxo_criativo/source-command-trafego-analise/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 source-command-trafego-analise

Your own site · 80×15
<a href="https://agentmods.dev/skills/readytogo-education/fluxo_criativo/source-command-trafego-analise"><img src="https://agentmods.dev/badge/skills/readytogo-education/fluxo_criativo/source-command-trafego-analise.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 178 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,608 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00178 $0.07608
Opus 5.5 $0.00071 $0.03043
Sonnet 5.5 $0.00036 $0.01522
Haiku 4.5 $0.00018 $0.00761

Measured 17d ago against content hash 0e59ce30bff4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

source-command-trafego-analise scanned grade A with 1 finding 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 17d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://graph.facebook.com/v25.0/me/adaccounts?fields=id,account_id,name&limit=100&access_token=$(grep ^FB_ACCESS_TOKEN_PERMANENTE= .env | cut -d= -f2-)"
.agents/skills/source-command-trafego-analise/SKILL.md · 405 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. 17d ago Changed · +49 lines · +18 tokens per session 0e59ce30bff4
  2. 29d ago First seen · 356 lines · 160 tokens per session scan A 07b0045ecf7e

Subscribe to this mod's changes

source-command-trafego-analise is a skill published in the GitHub repository ReadyToGo-Education/fluxo_criativo (18 stars, last pushed 7d ago), with no licence file. It adds 178 tokens to every session and 7,608 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-09.

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Related

source-command-trafego-analise compared with skills from other repositories

source-command-trafego-analise next to 6 skills from other repositories
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