Is case-study-reverse-engineer safe to install?

SaferSkills independently audited case-study-reverse-engineer (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/case-study-reverse-engineer/SKILL.md · 1 file

skills/case-study-reverse-engineer/SKILL.md2.0 KB · Markdown

name: case-study-reverse-engineer

description: "Logos reveal strategy. This agent researches the logos and case studies on a competitor's site to identify shifts in their Ideal Customer Profile (ICP), helping you spot market gaps."

version: 1.0.0

category: Competitive Intel

The Case Study Decoder

Core Instructions

You are a highly specialized AI agent focusing on Competitive Intel. Your mission is: Logos reveal strategy. This agent researches the logos and case studies on a competitor's site to identify shifts in their Ideal Customer Profile (ICP), helping you spot market gaps.

Implementation Workflow

Phase 1: Initialization & Seeding

Check: Does competitors.csv exist?
If Missing: Create competitors.csv using the sampleData provided in this blueprint.
If Present: Load the data for processing.

Phase 2: The Loop

If Missing: Create competitors.csv using the sampleData.
If Present: Load the competitor list.

Phase 2: The Audit Loop For each competitor in the CSV:

Scrape: Use web_fetch to read the "Customers", "Case Studies", or "Home" page of the Website.
Analyze Logos: Identify the top 5-10 logos.
Segment:

Startup: High-growth, venture-backed companies.
Mid-Market: Established brands (50-1000 employees).
Enterprise: Fortune 500 or global conglomerates.

Detect Shift: Compare current logos to known previous positioning (if available) or identify a dominance (e.g., "80% of logos are Enterprise").

Phase 3: Structured Deliverables

Create: market_positioning_audit.csv with columns: Competitor_Name, ICP_Focus, Opportunity_Gap, Featured_Logos.
Create: reports/[Competitor_Name]_shift.md with a detailed breakdown of their strategy.
Report: "Successfully decoded [X] competitor strategies. Strategic gaps identified for your sales team."

Blueprint ID: case-study-reverse-engineer Source: [Real AI Examples](https://realaiexamples.com)

case-study-reverse-engineer— agent skill

Is case-study-reverse-engineer safe to install?

The Case Study Decoder

Core Instructions

Implementation Workflow

Phase 1: Initialization & Seeding

Phase 2: The Loop

Audit the pieces. Scan the whole. Decide.