Agent skill

SaaS Metrics

by mohitagw15856 in mohitagw15856/pm-claude-skills

Compute the core SaaS metrics — MRR/ARR, growth, NRR/GRR, churn, quick ratio, magic number — from your numbers.

MITAuto-check passedBusiness, Finance & HR

Install SaaS Metrics

skills CLI

$ npx skills add mohitagw15856/pm-claude-skills --skill saas-metrics -a claude-code

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

GitHub CLI

$ gh skill install mohitagw15856/pm-claude-skills saas-metrics --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/saas-metrics .claude/skills/saas-metrics && 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/

Paste into Claude Code

Install the "saas-metrics" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/saas-metrics into .claude/skills/saas-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/saas-metrics

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add mohitagw15856/pm-claude-skills --skill saas-metrics -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install mohitagw15856/pm-claude-skills saas-metrics --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/saas-metrics .agents/skills/saas-metrics && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "saas-metrics" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/saas-metrics into .agents/skills/saas-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mohitagw15856/pm-claude-skills --skill saas-metrics -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install mohitagw15856/pm-claude-skills saas-metrics --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/saas-metrics .cursor/skills/saas-metrics && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "saas-metrics" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/saas-metrics into .cursor/skills/saas-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/mohitagw15856/pm-claude-skills.git --path skills/saas-metrics

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add mohitagw15856/pm-claude-skills --skill saas-metrics -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install mohitagw15856/pm-claude-skills saas-metrics --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/saas-metrics .gemini/skills/saas-metrics && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "saas-metrics" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/saas-metrics into .gemini/skills/saas-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install mohitagw15856/pm-claude-skills saas-metrics

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add mohitagw15856/pm-claude-skills --skill saas-metrics -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/saas-metrics .github/skills/saas-metrics && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "saas-metrics" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/saas-metrics into .github/skills/saas-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mohitagw15856/pm-claude-skills --skill saas-metrics -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install mohitagw15856/pm-claude-skills saas-metrics --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/saas-metrics .opencode/skills/saas-metrics && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "saas-metrics" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/saas-metrics into .opencode/skills/saas-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: saas-metrics
GitHub stars: 1.4k
Token cost: ~861 tokens
SKILL.md length: 391 words
Files: 2 (incl. scripts)
Skills in repo: 1,348
Repo updated: Oct 9, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

Compute the core SaaS metrics — MRR/ARR, growth, NRR/GRR, churn, quick ratio, magic number — from your numbers.

Asked to calculate SaaS metrics
SKILL.md covers Required Inputs, Output Format, Programmatic Helper and Quality Checks, plus 3 more sections
Runs Python scripts from its folder; calls python3
Net revenue retention

What it does

SaaS Metrics is an agent skill from mohitagw15856/pm-claude-skills. Compute the core SaaS metrics — MRR/ARR, growth, NRR/GRR, churn, quick ratio, magic number — from your numbers. Use when asked to calculate SaaS metrics, MRR/ARR, net revenue retention, the quick ratio, or to build a SaaS metrics snapshot for a board/investor update. Produces a computed metrics dashboard with each value, its benchmark, and a one-line read on what it means.

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/saas_metrics.py`).

It sits in Business, Finance & HR, covering Financial modeling. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

Asked to calculate SaaS metrics
Net revenue retention
The quick ratio
Build a SaaS metrics snapshot for a board/investor update

Example prompts

“/saas-metrics”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
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

SaaS Metrics loads about 861 tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 391 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~97
When it runs · the whole SKILL.md, loaded when a task matches: ~861

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); the scripts in this folder are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 391 words, ~861 tokens.

Download SKILL.mdSave it as .claude/skills/saas-metrics/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: saas-metrics
description: Compute the core SaaS metrics — MRR/ARR, growth, NRR/GRR, churn, quick ratio, magic number — from your numbers. Use when asked to calculate SaaS metrics, MRR/ARR, net revenue retention, the quick ratio, or to build a SaaS metrics snapshot for a board/investor update. Produces a computed metrics dashboard with each value, its benchmark, and a one-line read on what it means.

SaaS Metrics Skill

Investors and boards judge a SaaS business on a standard metric set — and getting the definitions right matters as much as the numbers. This skill computes MRR/ARR, growth, net and gross revenue retention, churn, the quick ratio, and the magic number from your movement data, each with its benchmark and a plain read — so a board update or investor snapshot is correct and defensible.

Required Inputs

Ask for these only if they aren't already provided:

Starting MRR and the month's movement: new, expansion, contraction, churned MRR.
Customer counts (start, churned) if you want logo churn too.
S&M spend (prior period) if you want the magic number.
Or just paste what you have — the skill computes what the inputs allow and flags the rest.

Output Format

SaaS Metrics: [company], [period]

A computed dashboard (use the helper script):

Metric	Value	Benchmark	Read
MRR / ARR
MRR growth %
Net Revenue Retention		≥ 100% (great ≥ 110%)
Gross Revenue Retention		≥ 90%
Revenue churn %
Quick ratio ((new+exp)/(churn+contr))		≥ 4 strong
Magic number (if S&M given)		≥ 0.75 efficient

What it says — 2–3 lines: the health story the numbers tell, and the one metric to fix first.

Definitions used — state each formula explicitly (NRR excludes new customers; GRR caps at 100%), so the numbers are comparable and audit-proof.

Programmatic Helper

scripts/saas_metrics.py (stdlib only) computes the set from the MRR movement:

bash

# in.json: {"starting_mrr":100000,"new":12000,"expansion":6000,"contraction":2000,"churned":4000,"sm_spend_prior":40000}
python3 scripts/saas_metrics.py in.json
python3 scripts/saas_metrics.py in.json --json

Show full SKILL.md (169 more words)Show less

Quality Checks

NRR excludes new MRR (it measures the existing base only) — the most-botched definition
GRR is capped at 100% (it can't exceed retention of what you had)
Each metric is shown against its standard benchmark
The formulas used are stated, so the numbers are comparable across reports
Metrics that can't be computed from the given inputs are flagged, not guessed

Anti-Patterns

Do not include new customers in NRR — that's a different (and misleadingly flattering) number
Do not mix monthly and annual figures without converting — label MRR vs ARR clearly
Do not report a metric without its definition — "120% retention" is meaningless without the formula
Do not vanity-pick metrics — show churn and contraction alongside the growth numbers
Do not present computed values to false precision — round sensibly and flag assumptions

Based On

Standard SaaS metrics definitions (Bessemer / a16z / KeyBanc) — NRR/GRR, quick ratio, magic number.

Example Trigger Phrases

"Calculate our SaaS metrics."
"Work out MRR and ARR."
"What's our net revenue retention?"
"Build a SaaS metrics snapshot for the board."

Files

SKILL.md and 1 other file (scripts) in skills/saas-metrics of mohitagw15856/pm-claude-skills.

SKILL.md
scripts/saas_metrics.py

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

SaaS Metrics 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.

SaaS Metrics compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
SaaS Metrics this skillmohitagw15856/pm-claude-skills	1.4k	—	~861	Automated safety check: Pass	MIT	2 days ago
Creating Financial ModelsChen-zexi/open-ptc-agent	729	3 repos	~1.3k	Automated safety check: Pass	MIT	8 mo ago
Equity ResearchrollingSirius/equity-research-skill	453	—	~1.5k	Automated safety check: Pass	MIT	1 mo ago
SaaS Metrics Coachrongxinzy/RongxinAI	154	2 repos	~1.3k	Automated safety check: Pass	MIT	yesterday
Startup Financial Modelingnicepkg/auto-company	195	11 repos	~2.8k	Automated safety check: Pass	None	8 mo ago
Stock Value AnalyzerFunnyKun/stock-value-analyzer	141	—	~3.3k	Automated safety check: Pass	None	3 mo ago

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Questions about SaaS Metrics

What does SaaS Metrics do?

Compute the core SaaS metrics — MRR/ARR, growth, NRR/GRR, churn, quick ratio, magic number — from your numbers. SaaS Metrics is an agent skill from mohitagw15856/pm-claude-skills. Compute the core SaaS metrics — MRR/ARR, growth, NRR/GRR, churn, quick ratio, magic number — from your numbers.

When should I use SaaS Metrics?

SaaS Metrics fits situations like: asked to calculate SaaS metrics; net revenue retention; the quick ratio; build a SaaS metrics snapshot for a board/investor update.

How do I install SaaS Metrics in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill saas-metrics -a claude-code`. Or copy the skill folder (skills/saas-metrics in mohitagw15856/pm-claude-skills) into .claude/skills/saas-metrics in your project. Claude Code loads it when a task matches its description.

How do I install SaaS Metrics in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill saas-metrics -a codex`. Or copy the skill folder (skills/saas-metrics in mohitagw15856/pm-claude-skills) into .agents/skills/saas-metrics in your project. Codex loads it when a task matches its description.

Can I use SaaS Metrics 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 mohitagw15856/pm-claude-skills --skill saas-metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/saas-metrics, .gemini/skills/saas-metrics, .github/skills/saas-metrics and .opencode/skills/saas-metrics in your project.

What does SaaS Metrics need to run?

Going by SKILL.md and its folder, SaaS Metrics needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does SaaS Metrics 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 SaaS Metrics 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does SaaS Metrics use?

SaaS Metrics 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 SaaS Metrics use?

About 861 tokens (SKILL.md is roughly 3.4k 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 SaaS Metrics?

Skills that share tags, products or a category with SaaS Metrics: Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Equity Research (rollingSirius/equity-research-skill, 453 stars), SaaS Metrics Coach (rongxinzy/RongxinAI, 154 stars) and Startup Financial Modeling (nicepkg/auto-company, 195 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SaaS Metrics?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install SaaS Metrics

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

SaaS Metrics Skill

Required Inputs

Output Format

SaaS Metrics: [company], [period]

Programmatic Helper

Quality Checks

Anti-Patterns

Based On

Example Trigger Phrases

Files

Compare with similar skills

Similar skills

More from mohitagw15856/pm-claude-skills

Related

Questions about SaaS Metrics