AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Peer Benchmarking

skill-natan-mohart-24-finance-skills-for-claude-peer-benchmarking · by Natan-Mohart

Compares a company's key financial ratios against true peer medians and quartiles, flagging which peers were excluded and why, so the read is defensible rather than a single flattering comparison. Use whenever the user wants to benchmark a company against competitors, needs a peer comparison for a board deck or investor update, or has a benchmarking claim with no stated peer set or exclusion logi…

— No reviews yet
0 installs
26 views
0.0% view→install

Install

$ agentstack add skill-natan-mohart-24-finance-skills-for-claude-peer-benchmarking

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-natan-mohart-24-finance-skills-for-claude-peer-benchmarking)

Reliability & compatibility

✓ Security review passed
0 installs to date
— no reviews yet
● 24d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Peer Benchmarking? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

Peer Benchmarking

When to use

Use whenever a performance claim needs external context, "our margin is strong" means nothing without knowing what peers actually post, or when preparing a board or investor update that will get challenged on comparability. Also use to check a benchmarking claim someone else made, where the peer set and exclusions were never stated.

What it does

Builds a defensible peer comparison: a real peer set (not cherry-picked), calendarized to the same period, with median and quartile ranges per metric, and an explicit note on which companies were excluded and why. The output is a range with a position in it, not a single flattering number lifted from the best comparison available.

Method

  1. Define the peer set by real comparability criteria — similar business model, similar scale (revenue or headcount band), similar growth stage, similar geography — not just "companies in the same industry label."
  2. State exclusions explicitly. If a company in the obvious peer group is excluded (different fiscal year, recent M&A distorting the numbers, private and unreported), name it and why. An unexplained exclusion is exactly how benchmarking gets cherry-picked.
  3. Calendarize before comparing. Companies with different fiscal year ends are not directly comparable on a raw calendar-quarter basis — align to trailing twelve months or the nearest common period.
  4. Compute median and quartile range per metric, not just an average — an average can be dragged by one outlier peer; the quartile range shows where the real distribution sits.
  5. Place the subject company's actual number inside that range and state the percentile plainly: "24th percentile on gross margin" is a finding; "below average" is not.
  6. Separate metrics where the company is structurally different (different revenue recognition, different capital intensity) — flag these instead of forcing a comparison that isn't apples-to-apples.
  7. State what the benchmark implies for action, not just where the company sits — a bottom-quartile metric with a plausible structural explanation needs different follow-up than one with no explanation at all.

Inputs

  • The company's own financials for the metrics being benchmarked
  • Candidate peer companies with comparability rationale
  • Peer financial data (public filings, industry surveys, or available comparables)
  • The specific metrics that matter for this comparison

Output format

Peer set with comparability rationale; explicit exclusion list with reasons; calendarized metric table; median and quartile range per metric; subject company's percentile position per metric; a plain read on what the position implies.

Example

A SaaS company claims "our gross margin beats the industry" citing one hand-picked competitor. Rebuilding the peer set with eight comparable companies (similar ARR band, similar go-to-market motion) calendarized to trailing twelve months shows the company actually sits at the 40th percentile, not top of class — the original claim relied on comparing against the one peer with unusually low margin, not a representative set.

Common pitfalls

  • Comparing against whichever peer happens to look most favorable instead of a defensible, stated peer set.
  • Averaging instead of showing the quartile range, hiding how spread out the real comparison actually is.
  • Comparing raw numbers across different fiscal year ends without calendarizing first.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.