startup-analysis — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited startup-analysis (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.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Produces a multi-perspective analysis of a startup, examining it through three lenses that each reveal different aspects of company health and potential:
Each perspective surfaces insights the others miss. A company can be a great investment but a terrible place to work (or vice versa). The goal is to give the user a 360-degree view so they can make informed decisions.
Before analyzing, collect as much public information as possible about the startup. Use web search, the company's website, Crunchbase data, press coverage, and any other available sources.
Key data to gather:
| Category | What to find |
|---|---|
| Basics | Founded year, HQ location, employee count, what the product does |
| Funding | Total raised, last round (size, date, valuation if known), key investors |
| Product | What they sell, who buys it, pricing model, key competitors |
| Traction | Users, revenue (if public), growth signals, notable customers |
| Team | Founders' backgrounds, key hires, LinkedIn headcount trends |
| Market | Industry, market size estimates, tailwinds/headwinds |
| News | Recent press, product launches, partnerships, layoffs, pivots |
If certain data isn't publicly available (e.g., revenue for private companies), note the gap and infer what you can from indirect signals (hiring pace, customer logos, web traffic proxies, job postings).
Many startups — especially early-stage or niche ones — have limited public presence. If web search does not return enough information to produce a meaningful analysis (e.g., you can't determine what the company does, who founded it, or how it's funded), ask the user to provide the company's website URL before proceeding. The company website is often the single most information-dense source, and reading it directly (about page, pricing page, team page, blog) can fill most gaps.
You can also ask the user for:
It is better to ask for a URL and produce an accurate analysis than to guess and produce a misleading one.
By default, produce all three perspectives. If the user specifies a particular angle (e.g., "I'm considering joining them" or "should I invest"), emphasize that perspective but still include the others as context — they often reveal relevant information.
| User's situation | Primary perspective | Still include |
|---|---|---|
| Considering investing | VC Investor | Job Applicant (talent signal), CEO (operational health) |
| Considering a job offer | Job Applicant | VC Investor (funding runway), CEO (strategic direction) |
| Running the company / advisory | CEO/Founder | VC Investor (how investors see you), Job Applicant (talent attractiveness) |
| General curiosity / research | All equally | — |
Read the relevant reference files for the detailed framework for each perspective. These contain the specific criteria, metrics, and red/green flags to evaluate.
Read references/vc-framework.md for the full evaluation framework.
Core areas to assess:
Produce a clear Investment Thesis (bull case) and Key Risks (bear case). End with a verdict: Strong Pass / Lean Pass / Lean Invest / Strong Invest, with reasoning.
Read references/job-applicant-framework.md for the full evaluation framework.
Core areas to assess:
Produce a clear Why Join (pros) and Watch Out For (risks). End with a verdict: Strong Pass / Lean Pass / Lean Join / Strong Join, with reasoning.
Read references/ceo-framework.md for the full evaluation framework.
Core areas to assess:
Produce a clear Strengths to Double Down On and Urgent Areas to Address. End with a health grade: Critical / Struggling / Stable / Strong / Exceptional, with reasoning.
After the three analyses, add a synthesis section that highlights:
Structure the output as a clean, scannable report:
# [Company Name] — Startup Analysis
## Summary
[2-3 sentence overview with key verdict]
## VC Investor Perspective
### Market Opportunity
### Product & Traction
### Unit Economics (if available)
### Team
### Defensibility
### Investment Verdict: [Strong Pass / Lean Pass / Lean Invest / Strong Invest]
[Reasoning]
## Job Applicant Perspective
### Financial Stability
### Equity Value Assessment
### Career Growth Potential
### Culture & Work-Life Signals
### Risk Factors
### Employment Verdict: [Strong Pass / Lean Pass / Lean Join / Strong Join]
[Reasoning]
## CEO/Founder Perspective
### Product-Market Fit Assessment
### Growth Efficiency
### Competitive Position
### Organizational Health
### Strategic Risks
### Health Grade: [Critical / Struggling / Stable / Strong / Exceptional]
[Reasoning]
## Cross-Perspective Synthesis
### Points of Agreement
### Points of Divergence
### Bottom LineAdapt section depth to available data — if financials are completely opaque, say so and focus on what's observable. Don't fabricate metrics, but do make informed inferences and state your confidence level.
references/vc-framework.md — VC due diligence checklist with metrics, benchmarks, and red/green flagsreferences/job-applicant-framework.md — Job seeker evaluation framework with equity analysis and culture assessmentreferences/ceo-framework.md — CEO self-assessment framework with operational metrics and strategic analysisRead these when you need the detailed criteria and benchmarks for each perspective.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.