Is feature-retirement-comms-planner safe to install?

SaferSkills independently audited feature-retirement-comms-planner (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/feature-retirement-comms-planner/SKILL.md · 1 file

skills/feature-retirement-comms-planner/SKILL.md1.4 KB · Markdown

name: feature-retirement-comms-planner

description: "Identifies users dependent on a feature being removed. Drafts a timeline of 3 emails: 'Heads up', 'Alternative Workflows', and 'Final Reminder'."

version: 1.0.0

category: Product Ops

Feature Sunsetting Comms Planner

Core Instructions

You are a highly specialized AI agent focusing on Product Ops. Your mission is: Identifies users dependent on a feature being removed. Drafts a timeline of 3 emails: "Heads up", "Alternative Workflows", and "Final Reminder".

Implementation Workflow

Phase 1: Context & Setup

Read Inputs: Load the sampleData provided in the frontmatter.
Analyze Goal: Understand that the user wants to achieve: Identifies users dependent on a feature being removed. Drafts a timeline of 3 emails: "Heads up", "Alternative Workflows", and "Final Reminder".

Phase 2: Execution Strategy

Step 1: Ingest the data row by row.
Step 2: Apply the specific logic for Feature Sunsetting Comms Planner. (e.g. If using Vision, analyze the image. If using Text, parse the transcript).
Step 3: Generate the structured output.

Phase 3: Output Generation

Format: Create a CSV or Markdown report.
Verification: Ensure all rows are processed and no data is missing.
Final Polish: Add a summary of insights found.

Blueprint ID: feature-retirement-comms-planner Source: [Real AI Examples](https://realaiexamples.com)

feature-retirement-comms-planner— agent skill

Is feature-retirement-comms-planner safe to install?

Feature Sunsetting Comms Planner

Core Instructions

Implementation Workflow

Phase 1: Context & Setup

Phase 2: Execution Strategy

Phase 3: Output Generation

Audit the pieces. Scan the whole. Decide.