Agent skill

Benchmark Analyst

by growthack88 in growthack88/growth-marketing-os

Marketing benchmark triage skill. An agent skill from growthack88/growth-marketing-os.

MITAuto-check passedMarketing & SEO

Install Benchmark Analyst

skills CLI
$ npx skills add growthack88/growth-marketing-os --skill benchmark-analyst -a claude-code

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

GitHub CLI
$ gh skill install growthack88/growth-marketing-os benchmark-analyst --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/growthack88/growth-marketing-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/benchmark-analyst .claude/skills/benchmark-analyst && 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
benchmark-analyst
GitHub stars
116
Token cost
~1.2k tokens
SKILL.md length
543 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Marketing benchmark triage skill. An agent skill from growthack88/growth-marketing-os.

  • Works in 4 steps: PANEL MATCH — identify the user's… → DENOMINATOR CHECK — confirm what the… → VINTAGE CHECK — state the year of any… → …
  • Metrics are shared with questions like is this good?
  • SKILL.md covers Core method, Output contract, Behavior rules and Example invocation, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Benchmark Analyst is an agent skill from growthack88/growth-marketing-os. Marketing benchmark triage skill. Use whenever metrics are shared with questions like "is this good?", "is this normal?", or "should I worry?" — ad metrics, email rates, conversion rates, SaaS metrics, social engagement. Compares the user's numbers against published, sourced benchmarks using panel-matching rules (same platform, model, market, and denominator), refuses folklore stats, and outputs a verdict: which metrics are actually abnormal and which are benchmark anxiety.

Its SKILL.md is about 1.2k 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 Marketing & SEO, covering Conversion rate optimization and Financial modeling. The repository describes itself as: Growth Marketing OS | Mahmoud Omar — open-source AI marketing prompts, Claude skills, agents & growth playbooks (EN + AR). The licence is MIT.

When your agent uses it

  • Metrics are shared with questions like is this good?
  • Is this normal?
  • Should I worry? — ad metrics
  • Conversion rates

Example prompts

  • “is this good?”
  • “is this normal?”
  • “should I worry?”
  • “/benchmark-analyst”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. PANEL MATCH — identify the user's context (platform, business model, market, company size) and compare only against benchmarks from a…
  2. DENOMINATOR CHECK — confirm what the metric is actually measured against (per recipient vs per clicker, per follower vs per impression…
  3. VINTAGE CHECK — state the year of any benchmark used. Flag anything pre-2024 as dated, and anything AI-search-related older than 6 months…
  4. SOURCE OR SILENCE — only cite benchmarks traceable to a named study with a sample. If no reliable benchmark exists for the question, say…

What it can do on your machine

Read from SKILL.md and the folder at commit c6b55c7. 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

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

    • mahmoudomar.com
    • buildinggrowthmachine.com
    • growthduckup.com
    • growthhackacademy.com
    • startupkit.pro
    • duckdoro.com
    • youtube.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

Benchmark Analyst loads about 1.2k tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 543 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~124
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 growthack88/growth-marketing-os at commit c6b55c7, republished under its MIT licence (© growthack88). 543 words, ~1,228 tokens.

Download SKILL.mdSave it as .claude/skills/benchmark-analyst/SKILL.md (or your agent's skills folder).
name
benchmark-analyst
description
Marketing benchmark triage skill. Use whenever metrics are shared with questions like "is this good?", "is this normal?", or "should I worry?" — ad metrics, email rates, conversion rates, SaaS metrics, social engagement. Compares the user's numbers against published, sourced benchmarks using panel-matching rules (same platform, model, market, and denominator), refuses folklore stats, and outputs a verdict: which metrics are actually abnormal and which are benchmark anxiety.
author
Mahmoud Omar — https://mahmoudomar.com
license
MIT

Benchmark Analyst — Claude Skill

By Mahmoud Omar · Install this in Claude (Projects, Skills, or system prompt) — ideally alongside the benchmarks library as knowledge files — and "is this number good?" gets a disciplined answer instead of a vibe.

Core method

Every "is X good?" question gets processed through four gates before any verdict:

  1. PANEL MATCH — identify the user's context (platform, business model, market, company size) and compare only against benchmarks from a matching panel. A Shopify SMB is judged against Littledata medians, not enterprise averages; an opt-in trial against opt-in benchmarks, never opt-out.
  2. DENOMINATOR CHECK — confirm what the metric is actually measured against (per recipient vs per clicker, per follower vs per impression, placed orders vs delivered orders). If the user's definition is unclear, ask ONCE.
  3. VINTAGE CHECK — state the year of any benchmark used. Flag anything pre-2024 as dated, and anything AI-search-related older than 6 months as possibly stale.
  4. SOURCE OR SILENCE — only cite benchmarks traceable to a named study with a sample. If no reliable benchmark exists for the question, say exactly that — never fill the gap with a folklore number.

Output contract

  • Verdict table: metric · user's value · matched benchmark (source + year) · verdict: 🔴 investigate / 🟡 watch / 🟢 fine / ⚪ no reliable benchmark.
  • The ONE metric most deserving investigation, with reasoning — and explicitly which "scary" metrics are actually normal for the user's panel.
  • Trend note: where the market itself is moving (e.g., CPMs rising ~20%/yr, engagement declining platform-wide), so flat performance is read correctly as gain or loss.
  • Next step: which diagnostic to run on the flagged metric (funnel decomposition, creative diagnosis, teardown...).

Behavior rules

  • Benchmarks are thresholds for attention, never targets — refuse to frame "reach the median" as a goal; the goal is finding the constraint.
  • Known folklore stats are named and rejected on sight: "98% WhatsApp open rate," "98% SMS opens," "$5.78 per $1 influencer ROI," "blog 15x/month = 5x traffic," 2012-era frequency claims.
  • Apple MPP rule: email open rates are directional only; steer all email verdicts to clicks, orders, and revenue-per-recipient.
  • COD markets: any e-commerce verdict must ask whether "revenue" means placed or delivered orders before judging ROAS.
  • If the user's own historical baseline is available, it outranks every public benchmark — say so and use it.
  • Tone: calm, numbers-first. The job is often to END a panic, not validate it.
Show full SKILL.md (170 more words)Show less

Example invocation

"Our Meta CTR is 1.9% and ROAS is 1.8 — the client is freaking out. Is this bad?"

Skill responds: panel match (e-com? which market?), then the verdict — e.g. both sit at the Triple Whale 2025 medians (CTR 2.19%, ROAS 1.86) for e-commerce; this is a normal account, and the real question is whether delivered-order economics work at ROAS 1.86 — not the benchmark.

<!-- MO-BRAND-FOOTER v1 — paste at the bottom of every asset file -->

🦆 Built by Mahmoud Omar

Growth & E-commerce Consultant · 15+ years in performance marketing, CRO & AI-powered growth · MENA & global markets

AssetLink
🌍 Personal Sitemahmoudomar.com
📕 GrowthOS Guide · Building Growth Machinebuildinggrowthmachine.com
🛠️ Growth Duck Up — 17-tool growth SaaS for growth teamsgrowthduckup.com
🎓 Growth Hack Academygrowthhackacademy.com
🚀 StartupKit Pro — Startup OS for MENA foundersstartupkit.pro
🍅 DuckDoro — calm productivity appduckdoro.com
🎥 YouTube (40K+ marketers)Subscribe → Growth Hack Academy

⭐ Saved you time? Star the repo — it helps more marketers find these assets.

All assets are original work by Mahmoud Omar, battle-tested on real accounts. Free to use with attribution. Not AI-generated filler.

© growthack88, 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/benchmark-analyst of growthack88/growth-marketing-os.

Open the folder on GitHubat commit c6b55c7

Compare with similar skills

Benchmark Analyst 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.

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Paywallscoreyhaines31/marketingskills54k1 repos~1.4kAutomated safety check: PassMIT
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Paywall Upgrade Crofreekmurze/dotfiles1k15 repos~1.4kAutomated safety check: PassNone

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Categories

Questions about Benchmark Analyst

What does Benchmark Analyst do?

Marketing benchmark triage skill. An agent skill from growthack88/growth-marketing-os. Benchmark Analyst is an agent skill from growthack88/growth-marketing-os. Marketing benchmark triage skill.

When should I use Benchmark Analyst?

Benchmark Analyst fits situations like: metrics are shared with questions like is this good?; is this normal?; should I worry? — ad metrics; conversion rates.

How do I install Benchmark Analyst in Claude Code?

Run `npx skills add growthack88/growth-marketing-os --skill benchmark-analyst -a claude-code`. Or copy the skill folder (skills/benchmark-analyst in growthack88/growth-marketing-os) into .claude/skills/benchmark-analyst in your project. Claude Code loads it when a task matches its description.

How do I install Benchmark Analyst in Codex?

Run `npx skills add growthack88/growth-marketing-os --skill benchmark-analyst -a codex`. Or copy the skill folder (skills/benchmark-analyst in growthack88/growth-marketing-os) into .agents/skills/benchmark-analyst in your project. Codex loads it when a task matches its description.

Can I use Benchmark Analyst 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 growthack88/growth-marketing-os --skill benchmark-analyst -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/benchmark-analyst, .gemini/skills/benchmark-analyst, .github/skills/benchmark-analyst and .opencode/skills/benchmark-analyst in your project.

What does Benchmark Analyst need to run?

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

Does Benchmark Analyst access the network?

SKILL.md names 7 domains. As links in the text: mahmoudomar.com, buildinggrowthmachine.com, growthduckup.com, growthhackacademy.com, startupkit.pro, duckdoro.com and youtube.com. This is read from the text; nothing was executed.

Is Benchmark Analyst 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 Benchmark Analyst use?

Benchmark Analyst 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 Benchmark Analyst use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Benchmark Analyst?

Skills that share tags, products or a category with Benchmark Analyst: Sealeap Xiezhi Amazon Conversion Rate Prelaunch Estimation (xjli360/sealeap-amazon-skills, 247 stars), FLOW SEO Framework (AgriciDaniel/claude-seo, 19k stars), Paywalls (coreyhaines31/marketingskills, 54k stars) and Onboarding Cro (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Benchmark Analyst?

growthack88 (a GitHub user) maintains it in growthack88/growth-marketing-os, which has 116 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 2, 2026.

Source: growthack88/growth-marketing-os on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.