analytics-funnel-attribution

analytics-funnel-attribution is a skill for Claude Code, Codex from LgrappaG/Workflows-Agents. It costs 17 tokens per session (1,227 once invoked), scanned A, original, MIT.

A guide for measuring how people discover, adopt, use, and stop using game features or skills. A funnel is the sequence from an initial step to a completed outcome.

In plain words
What is it for?
Use it to track usage events, compare user groups, measure retention, connect results to acquisition sources, and run controlled comparisons.
Why use it?
It helps identify where users abandon a workflow and whether a feature or change actually affects adoption and retention.

Skill for Claude CodeCodex

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

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.

agentmods
npx agentmods add skills/lgrappag/workflows-agents/analytics-funnel-attribution
Any agent
npx skills add LgrappaG/Workflows-Agents --skill analytics-funnel-attribution
Clone the repo
git clone --depth 1 https://github.com/LgrappaG/Workflows-Agents

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 analytics-funnel-attribution

README.md
[![agentmods](https://agentmods.dev/badge/skills/lgrappag/workflows-agents/analytics-funnel-attribution.svg)](https://agentmods.dev/skills/lgrappag/workflows-agents/analytics-funnel-attribution)
Your own site
<a href="https://agentmods.dev/skills/lgrappag/workflows-agents/analytics-funnel-attribution"><img src="https://agentmods.dev/badge/skills/lgrappag/workflows-agents/analytics-funnel-attribution.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,227 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00017 $0.01227
Opus 5 $0.00009 $0.00613
Sonnet 5 $0.00003 $0.00245
Haiku 4.5 $0.00002 $0.00123

Measured 5d ago against content hash 279fa922c784, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

analytics-funnel-attribution 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 5d 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/analytics-funnel-attribution/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

analytics-funnel-attribution

Overview

Track user acquisition, engagement, and retention funnels for game features—measuring skill adoption, workflow completion, and feature impact on business metrics. This skill enables data-driven iteration on framework quality and community engagement.

Key Capabilities

1. Funnel Tracking

  • Event Stream: Track skill usage, workflow starts/completions, feature interactions
  • Session Management: Identify user cohorts and session lifecycles
  • Retention Curves: Measure D1, D7, D30 retention for features
  • Convertion Tracking: Skill discovery → adoption → maintenance pipeline
  • Churn Analysis: Identify users at risk and feature abandonment patterns

2. Attribution Modeling

  • Multi-Touch Attribution: Credit skill exposure across multiple touchpoints
  • First/Last-Click Models: Simple and complex attribution for causal inference
  • Cohort Analysis: Compare feature adoption across user segments
  • A/B Testing Framework: Controlled experiments on skill variants
  • Incrementality Testing: Measure true impact vs. correlation

3. Analytics Infrastructure

  • Event Validation: Schema validation, deduplication, late arrival handling
  • Real-time Dashboards: Live funnel metrics with <5min latency
  • Batch Processing: Daily/weekly cohort analysis and retention calculations
  • Data Privacy: GDPR compliance with anonymization and consent tracking
  • Sampling: Efficient large-scale processing via intelligent sampling

4. Insights & Reporting

  • Automated Alerts: Anomaly detection on key metrics (drop >20%)
  • Cohort Insights: Generation of insights via statistical testing
  • Custom Reports: Self-service dashboards for different stakeholder needs
  • Export APIs: CSV/JSON export for external analysis
  • Predictive Models: Churn prediction, lifetime value estimation

Implementation Pattern

// Pseudo-code: Event tracking and funnel analysis
namespace SkillAnalytics {
    public class SkillEventTracker {
        public void TrackSkillDiscovery(string skillId, string userId, string source) {
            var evt = new Event {
                EventType = "skill_discovered",
                SkillId = skillId,
                UserId = userId,
                Source = source,
                Timestamp = DateTime.UtcNow
            };
            EventStore.Log(evt);
        }

        public void TrackSkillAdoption(string skillId, string userId, string workflowId) {
            EventStore.Log(new Event {
                EventType = "skill_adopted",
                SkillId = skillId,
                UserId = userId,
                WorkflowId = workflowId,
                Timestamp = DateTime.UtcNow
            });
        }

        public async Task<FunnelMetrics> ComputeFunnel(
            string skillId,
            TimeSpan period,
            CancellationToken ct = default)
        {
            var discovered = await EventStore.Count(
                eventType: "skill_discovered",
                skillId: skillId,
                period: period
            );

            var adopted = await EventStore.Count(
                eventType: "skill_adopted",
                skillId: skillId,
                period: period
            );

            var completed = await EventStore.Count(
                eventType: "workflow_completed",
                skillId: skillId,
                period: period
            );

            return new FunnelMetrics {
                Discovered = discovered,
                Adopted = adopted,
                AdoptionRate = (double)adopted / discovered,
                Completed = completed,
                CompletionRate = (double)completed / adopted
            };
        }
    }
}

Read the full file on GitHub · 146 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. 5d ago First seen · 146 lines · 17 tokens per session scan A 279fa922c784

Subscribe to this mod's changes

analytics-funnel-attribution is a skill published in the GitHub repository LgrappaG/Workflows-Agents (2 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 1,227 once invoked, about $0.0001 per session on Opus 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 2026-08-31.

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