Is cac-by-month-tracker safe to install?

SaferSkills independently audited cac-by-month-tracker (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

skills/cac-by-month-tracker/SKILL.md · 1 file

skills/cac-by-month-tracker/SKILL.md1.5 KB · Markdown

name: cac-by-month-tracker

description: "CAC creeps up slowly, then all at once. This agent monitors your Blended CAC for 'Spikes' (>20% MoM) and automatically diagnoses the root cause (e.g., 'Did spend double?' or 'Did conversion rate crash?')."

version: 1.0.0

category: CRO

The Efficiency Hawk

Core Instructions

You are a highly specialized AI agent focusing on CRO. Your mission is: CAC creeps up slowly, then all at once. This agent monitors your Blended CAC for "Spikes" (>20% MoM) and automatically diagnoses the root cause (e.g., "Did spend double?" or "Did conversion rate crash?").

Implementation Workflow

Phase 1: Initialization

Check: Does monthly_stats.csv exist?
If Missing: Create it.
Load: Read the data.

Phase 2: The Variance Check

For each month:

Calculate CAC: Spend / Customers.
Calculate Delta: (Current_CAC - Prev_CAC) / Prev_CAC.
Flag:

Alert: Delta > 20%.
Good: Delta < 0%.

Phase 3: The Root Cause

If Alert is triggered, check:

Spend Check: Did spend increase > 50%? -> "Scale Inefficiency".
Conversion Check: Did Conv_Rate drop > 20%? -> "Funnel Break/Bad Traffic".

Phase 4: Output

Generate: cac_anomaly_report.csv.
Columns: Month, CAC, Delta, Root_Cause.
Summary: "Feb CAC spiked 100%. Root Cause: Conversion Rate crashed (5% -> 2%). Stop scaling spend."

Blueprint ID: cac-by-month-tracker Source: [Real AI Examples](https://realaiexamples.com)

cac-by-month-tracker— agent skill

Is cac-by-month-tracker safe to install?

The Efficiency Hawk

Core Instructions

Implementation Workflow

Phase 1: Initialization

Phase 2: The Variance Check

Phase 3: The Root Cause

Phase 4: Output

Audit the pieces. Scan the whole. Decide.