Agent skill

Fin SaaS Valuation Compression

by criptogus in criptogus/agent-evolve-network

Research a SaaS company's funding rounds, compute ARR-based valuation multiples per round, and explain the multiple compression or expansion with a structured framework.

MITAuto-check passedBusiness, Finance & HR

Install Fin SaaS Valuation Compression

skills CLI
$ npx skills add criptogus/agent-evolve-network --skill fin-saas-valuation-compression -a claude-code

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

GitHub CLI
$ gh skill install criptogus/agent-evolve-network fin-saas-valuation-compression --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/criptogus/agent-evolve-network.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fin-saas-valuation-compression .claude/skills/fin-saas-valuation-compression && 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
fin-saas-valuation-compression
GitHub stars
288
Token cost
~1.1k tokens
SKILL.md length
415 words
Files
1
Skills in repo
107
Repo updated
First seen
Licence
MIT

At a glance

Research a SaaS company's funding rounds, compute ARR-based valuation multiples per round, and explain the multiple compression or expansion with a structured framework.

  • The user asks for saas valuation compression analyzer work
  • SKILL.md covers Instructions, Always, Never and Examples, plus 1 more section
  • Calls npx

What it does

Fin SaaS Valuation Compression is an agent skill from criptogus/agent-evolve-network. Research a SaaS company's funding rounds, compute ARR-based valuation multiples per round, and explain the multiple compression or expansion with a structured framework. Use when the user asks for saas valuation compression analyzer work, or mentions fin, saas, valuation.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR. The licence is MIT.

When your agent uses it

  • The user asks for saas valuation compression analyzer work

Example prompts

  • “/fin-saas-valuation-compression”

Requirements

  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit d19b920. 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

    Shell commands in SKILL.md call:

    • npx

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

  • Network

    Links to these hosts (documentation or services it may open):

    • superagentskill.com

    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

Fin SaaS Valuation Compression loads about 1.1k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 415 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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 criptogus/agent-evolve-network at commit d19b920, republished under its MIT licence (© criptogus). 415 words, ~1,111 tokens.

Download SKILL.mdSave it as .claude/skills/fin-saas-valuation-compression/SKILL.md (or your agent's skills folder).
name
fin-saas-valuation-compression
description
Research a SaaS company's funding rounds, compute ARR-based valuation multiples per round, and explain the multiple compression or expansion with a structured framework. Use when the user asks for saas valuation compression analyzer work, or mentions fin, saas, valuation.
version
0.1.0
license
MIT
homepage
https://superagentskill.com/marketplace/fin-saas-valuation-compression
source
Super Agent Skill (SAK)

SaaS Valuation Compression Analyzer

Use this skill when a user wants to understand how a SaaS company's valuation multiple has changed across funding rounds: how the ARR multiple compressed (or expanded) round to round and why. It researches funding history and ARR via web search, computes multiples and round-over-round compression, and attributes the change to causes (macro/rate environment, growth deceleration, narrative shift, AI premium, competition, investor supply/demand).

Output is an inline visualization (metric cards, multiple-over-time line, decomposition bars, peer comparison) plus a concise prose summary with a cause-attribution table and confidence flag. It uses pre-loaded private-market multiple benchmarks (including the April 2026 software meltdown) when search is thin. Research/educational only, not financial advice.

Instructions

You are a SaaS valuation analyst explaining multiple compression across funding rounds. Step 1 - Gather data via web search (in parallel): funding rounds, amounts, post-money valuations, ARR at each round date, lead investors, plus macro and narrative context. Estimate ARR with heuristics if not public and flag it as estimated. Step 2 - Build a data model per round (round, date, amount, post-money, ARR, ARR multiple = valuation/ARR, lead). Step 3 - Compute per consecutive pair: multiple_compression_pct, valuation_growth_pct, arr_growth_pct. Key identity: valuation_growth ~= arr_growth + multiple_change (ARR can outgrow compression so absolute value rises). Step 4 - Attribute compression to causes (Primary/Contributing/N/A): macro/rate environment (ZIRP 2020-21 premium, 2022-23 hikes, April 2026 software meltdown), growth deceleration / NRR drop, narrative shift, AI premium/discount, competition, investor supply/demand. Use the pre-loaded private-market median multiple benchmark table when search is thin. Step 5 - Render an inline visualization (metric cards, multiple-over-time vs macro median line, growth-vs- multiple decomposition bars, peer comparison) followed by a 5-8 sentence prose summary: one-sentence verdict, primary cause, narrative premium/discount, comparable context, forward implication. Flag data confidence if ARR estimated. Research/educational only, not financial advice.

Show full SKILL.md (124 more words)Show less

Always

  • Research funding and ARR via web search and flag any estimated ARR.
  • Compute and decompose compression (multiple, valuation, ARR growth) per round pair.
  • Render a visualization plus prose, and state research-only, not financial advice.

Never

  • Present a target valuation as investment advice or a recommendation.
  • Report multiples as precise when ARR was estimated, without a confidence flag.

Examples

Round-over-round compression

Input:

Analyze how Figma's valuation multiple compressed across its funding rounds

Expected output:

Builds a per-round ARR-multiple model, computes compression and growth decomposition, attributes
the change to macro/narrative causes, and renders metric cards plus a verdict. Research-only.
Thin-data case

Input:

Why did this private SaaS company's ARR multiple drop between Series B and C?

Expected output:

Uses search plus the pre-loaded benchmark table, estimates ARR (flagged), decomposes the move, and
names the primary cause (e.g. growth deceleration vs macro reset), with forward implications.

Trust & telemetry

This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.

Reinstall or update with npx skills update, or pull the live graded version with npx super-agent install fin-saas-valuation-compression.

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

Files

Just SKILL.md in skills/fin-saas-valuation-compression of criptogus/agent-evolve-network.

Open the folder on GitHubat commit d19b920

Compare with similar skills

Fin SaaS Valuation Compression 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.

Fin SaaS Valuation Compression compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fin SaaS Valuation Compression this skillcriptogus/agent-evolve-network288—~1.1kAutomated safety check: PassMIT
Technical Analysttradermonty/claude-trading-skills3k5 repos~4.6kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7294 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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Questions about Fin SaaS Valuation Compression

What does Fin SaaS Valuation Compression do?

Research a SaaS company's funding rounds, compute ARR-based valuation multiples per round, and explain the multiple compression or expansion with a structured framework. Fin SaaS Valuation Compression is an agent skill from criptogus/agent-evolve-network. Research a SaaS company's funding rounds, compute ARR-based valuation multiples per round, and explain the multiple compression or expansion with a structured framework.

When should I use Fin SaaS Valuation Compression?

Fin SaaS Valuation Compression fits situations like: the user asks for saas valuation compression analyzer work.

How do I install Fin SaaS Valuation Compression in Claude Code?

Run `npx skills add criptogus/agent-evolve-network --skill fin-saas-valuation-compression -a claude-code`. Or copy the skill folder (skills/fin-saas-valuation-compression in criptogus/agent-evolve-network) into .claude/skills/fin-saas-valuation-compression in your project. Claude Code loads it when a task matches its description.

How do I install Fin SaaS Valuation Compression in Codex?

Run `npx skills add criptogus/agent-evolve-network --skill fin-saas-valuation-compression -a codex`. Or copy the skill folder (skills/fin-saas-valuation-compression in criptogus/agent-evolve-network) into .agents/skills/fin-saas-valuation-compression in your project. Codex loads it when a task matches its description.

Can I use Fin SaaS Valuation Compression 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 criptogus/agent-evolve-network --skill fin-saas-valuation-compression -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fin-saas-valuation-compression, .gemini/skills/fin-saas-valuation-compression, .github/skills/fin-saas-valuation-compression and .opencode/skills/fin-saas-valuation-compression in your project.

What does Fin SaaS Valuation Compression need to run?

Going by SKILL.md and its folder, Fin SaaS Valuation Compression needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Fin SaaS Valuation Compression access the network?

SKILL.md names 1 domain. As links in the text: superagentskill.com. This is read from the text; nothing was executed.

Is Fin SaaS Valuation Compression 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 Fin SaaS Valuation Compression use?

Fin SaaS Valuation Compression is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fin SaaS Valuation Compression use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fin SaaS Valuation Compression?

Skills that share tags, products or a category with Fin SaaS Valuation Compression: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Stock API (zhangxiangliang/stock-api, 2k stars) and Theme Detector (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fin SaaS Valuation Compression?

criptogus (a GitHub user) maintains it in criptogus/agent-evolve-network, which has 288 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on September 9, 2026.

Source: criptogus/agent-evolve-network on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.