Agent skill

Startup Analysis

by himself65 in himself65/finance-skills

Analyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and…

MITAuto-check passedBusiness, Finance & HR

Install Startup Analysis

skills CLI
$ npx skills add himself65/finance-skills --skill startup-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install himself65/finance-skills startup-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/himself65/finance-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/startup-tools/skills/startup-analysis .claude/skills/startup-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
startup-analysis
GitHub stars
3.4k
Token cost
~2.2k tokens
SKILL.md length
1,083 words
Files
5 (incl. references)
Skills in repo
25
Repo updated
First seen
Licence
MIT

At a glance

Analyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and…

  • Works in 5 steps: Gather Information → Determine Which Perspectives to Cover → Analyze from Each Perspective → …
  • The user wants to evaluate a startup
  • SKILL.md covers Step 1: Gather Information, Step 2: Determine Which…, Step 3: Analyze from Each… and Step 4: Synthesize…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Startup Analysis is an agent skill from himself65/finance-skills. Analyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and competitive position, with a verdict for each. Use this skill whenever the user wants to evaluate a startup or private tech company: due diligence, whether to invest in it or join it, weighing a startup job offer, company health, outlook, or competitive position, or open-ended asks such as "what do you think of [company]" or…

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `README.md`, `references/ceo-framework.md` and `references/job-applicant-framework.md`).

It sits in Business, Finance & HR, covering Startup and business strategy, Fundraising and pitch decks and Financial modeling. The repository describes itself as: A collection of skills for AI financial analysis. The licence is MIT.

When your agent uses it

  • The user wants to evaluate a startup
  • Private tech company: due diligence
  • Whether to invest in it
  • Weighing a startup job offer

Example prompts

  • “what do you think of [company]”
  • “research [company] for me”
  • “/startup-analysis”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Gather Information
  2. Determine Which Perspectives to Cover
  3. Analyze from Each Perspective
  4. Synthesize Cross-Perspective Insights
  5. Present the Report

What it can do on your machine

Read from SKILL.md and the folder at commit 01fc7b4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Startup Analysis loads about 2.2k tokens when it runs, and up to ~7.7k if it reads all its reference files. Until then it costs about 140 tokens; SKILL.md has 1,083 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~140
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from himself65/finance-skills at commit 01fc7b4, republished under its MIT licence (© himself65). 1,083 words, ~2,194 tokens.

Download SKILL.mdSave it as .claude/skills/startup-analysis/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
startup-analysis
description
Analyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and competitive position, with a verdict for each. Use this skill whenever the user wants to evaluate a startup or private tech company: due diligence, whether to invest in it or join it, weighing a startup job offer, company health, outlook, or competitive position, or open-ended asks such as "what do you think of [company]" or "research [company] for me".

Startup Analysis

Produces a multi-perspective analysis of a startup, examining it through three lenses that each reveal different aspects of company health and potential:

  1. VC Investor Lens — Is this a good investment? Market size, unit economics, growth trajectory, team quality, defensibility
  2. Job Applicant Lens — Should I work here? Equity value, runway risk, culture signals, career growth, compensation fairness
  3. CEO/Founder Lens — How healthy is this company? Product-market fit, burn efficiency, competitive moat, organizational health

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.


Step 1: Gather Information

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:

CategoryWhat to find
BasicsFounded year, HQ location, employee count, what the product does
FundingTotal raised, last round (size, date, valuation if known), key investors
ProductWhat they sell, who buys it, pricing model, key competitors
TractionUsers, revenue (if public), growth signals, notable customers
TeamFounders' backgrounds, key hires, LinkedIn headcount trends
MarketIndustry, market size estimates, tailwinds/headwinds
NewsRecent 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).

When information is insufficient

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:

  • The company's website or landing page URL
  • A Crunchbase, LinkedIn, or PitchBook link
  • Any pitch deck, job listing, or press article they have
  • Specific context they already know (e.g., "they just raised a Series A from Sequoia")

It is better to ask for a URL and produce an accurate analysis than to guess and produce a misleading one.


Step 2: Determine Which Perspectives to Cover

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 situationPrimary perspectiveStill include
Considering investingVC InvestorJob Applicant (talent signal), CEO (operational health)
Considering a job offerJob ApplicantVC Investor (funding runway), CEO (strategic direction)
Running the company / advisoryCEO/FounderVC Investor (how investors see you), Job Applicant (talent attractiveness)
General curiosity / researchAll equally—

Step 3: Analyze from Each Perspective

Read the relevant reference files for the detailed framework for each perspective. These contain the specific criteria, metrics, and red/green flags to evaluate.

VC Investor Analysis

Read references/vc-framework.md for the full evaluation framework.

Core areas to assess:

  • Market opportunity — TAM/SAM/SOM, market timing, secular trends
  • Product & traction — Product-market fit signals, growth metrics, retention
  • Unit economics — CAC, LTV, margins, burn multiple, path to profitability
  • Team — Founder-market fit, technical depth, hiring ability
  • Defensibility — Moats (network effects, switching costs, data, brand, regulatory)
  • Deal terms context — Stage-appropriate valuation, comparable exits

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.

Show full SKILL.md (478 more words)Show less
Job Applicant Analysis

Read references/job-applicant-framework.md for the full evaluation framework.

Core areas to assess:

  • Financial stability — Runway, burn rate, funding trajectory, revenue health
  • Equity value — Option/equity package analysis, dilution risk, liquidation preferences, realistic exit scenarios
  • Career growth — Role scope, learning opportunity, resume value, mentorship
  • Culture & work-life — Glassdoor signals, employee tenure data, leadership style
  • Product & market risk — Is PMF real? What happens if the startup fails?
  • Red flags — High turnover, constant pivots, vague metrics, founders cashing out

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.

CEO/Founder Analysis

Read references/ceo-framework.md for the full evaluation framework.

Core areas to assess:

  • Product-market fit — Retention curves, organic growth, Sean Ellis test proxy
  • Growth efficiency — Burn multiple, CAC payback, magic number
  • Competitive position — Moat strength, competitive dynamics, market share trajectory
  • Organizational health — Hiring pipeline, attrition, team capability gaps
  • Fundraising readiness — Metrics vs. benchmarks for next round, investor narrative
  • Strategic risks — Platform dependency, customer concentration, regulatory exposure

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.


Step 4: Synthesize Cross-Perspective Insights

After the three analyses, add a synthesis section that highlights:

  1. Where perspectives agree — If all three lenses flag the same strength or weakness, it's probably real
  2. Where perspectives diverge — A company can be VC-attractive (huge market) but employee-risky (high burn, low runway). Call these out.
  3. The bottom line — One paragraph summary: what kind of company is this, what's its most likely trajectory, and what should the user do based on their stated (or implied) situation

Step 5: Present the Report

Write it as a scannable report titled [Company Name] — Startup Analysis:

  • Summary — a short overview that states the three verdicts up front.
  • One section per perspective, in the order that fits the user's situation from Step 2. Each covers the core areas from Step 3 with the evidence behind every judgment, and ends with its verdict on the scale defined there — Investment Verdict (Strong Pass / Lean Pass / Lean Invest / Strong Invest), Employment Verdict (Strong Pass / Lean Pass / Lean Join / Strong Join), or Health Grade (Critical / Struggling / Stable / Strong / Exceptional) — followed by the reasoning.
  • Cross-perspective synthesis — where the lenses agree, where they diverge, and the bottom line.

Scale each section to the evidence: where financials or other areas are opaque, say so in a line and spend the space on what's observable, rather than filling a heading for its own sake. Don't fabricate metrics; make informed inferences and state your confidence level.


Reference Files

  • references/vc-framework.md — VC due diligence checklist with metrics, benchmarks, and red/green flags
  • references/job-applicant-framework.md — Job seeker evaluation framework with equity analysis and culture assessment
  • references/ceo-framework.md — CEO self-assessment framework with operational metrics and strategic analysis

Read these when you need the detailed criteria and benchmarks for each perspective.

© himself65, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in plugins/startup-tools/skills/startup-analysis of himself65/finance-skills.

  • SKILL.md
  • README.md
  • references/ceo-framework.md
  • references/job-applicant-framework.md
  • references/vc-framework.md

Open the folder on GitHubat commit 01fc7b4

Compare with similar skills

Startup Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Startup Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Startup Analysis this skillhimself65/finance-skills3.4k—~2.2kAutomated safety check: PassMIT
Fin Startup Analysiscriptogus/agent-evolve-network288—~1kAutomated safety check: PassMIT
Startupblueprintbuildfastwithai/gen-ai-experiments785—~2.2kAutomated safety check: PassMIT
Site AnalysisAbhinavbwj/Urban-Design-Skills-Claude1321 repos~8.5kAutomated safety check: PassMIT
Advisor Due DiligenceBubble252/offer-harvester123—~281Automated safety check: PassMIT
Ceo Advisordavila7/claude-code-templates32k1 repos~2.8kAutomated safety check: PassMIT

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Questions about Startup Analysis

What does Startup Analysis do?

Analyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and…. Startup Analysis is an agent skill from himself65/finance-skills. Analyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and competitive position, with a verdict for each.

When should I use Startup Analysis?

Startup Analysis fits situations like: the user wants to evaluate a startup; private tech company: due diligence; whether to invest in it; weighing a startup job offer.

How do I install Startup Analysis in Claude Code?

Run `npx skills add himself65/finance-skills --skill startup-analysis -a claude-code`. Or copy the skill folder (plugins/startup-tools/skills/startup-analysis in himself65/finance-skills) into .claude/skills/startup-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Startup Analysis in Codex?

Run `npx skills add himself65/finance-skills --skill startup-analysis -a codex`. Or copy the skill folder (plugins/startup-tools/skills/startup-analysis in himself65/finance-skills) into .agents/skills/startup-analysis in your project. Codex loads it when a task matches its description.

Can I use Startup Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add himself65/finance-skills --skill startup-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/startup-analysis, .gemini/skills/startup-analysis, .github/skills/startup-analysis and .opencode/skills/startup-analysis in your project.

What does Startup Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Startup Analysis is instructions for the agent only.

Does Startup Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Startup Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Startup Analysis use?

Startup Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Startup Analysis use?

About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.5k tokens, read only when the agent opens those files.

What are the alternatives to Startup Analysis?

Skills that share tags, products or a category with Startup Analysis: Fin Startup Analysis (criptogus/agent-evolve-network, 288 stars), Startupblueprint (buildfastwithai/gen-ai-experiments, 785 stars), Site Analysis (Abhinavbwj/Urban-Design-Skills-Claude, 132 stars) and Advisor Due Diligence (Bubble252/offer-harvester, 123 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Startup Analysis?

himself65 (a GitHub user) maintains it in himself65/finance-skills, which has 3,384 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 5, 2026.

Source: himself65/finance-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.