compensation-and-leveling SKILL.md skillA

compensation-and-leveling from cbrock84/headcount is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add cbrock84/headcount/compensation-and-leveling@git:20260916.0e7cd01

Pins git:20260916.0e7cd01 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
cbrock84/headcount
Path
plugins/people/skills/compensation-and-leveling/SKILL.md
Versions recorded
3
Latest version
git:20260916.0e7cd01, committed Sep 16, 2026
First version recorded
Aug 28, 2026
Size
4,153 bytes
Repository stars
2,543
License
MIT

Builds and maintains the leveling framework and pay structure — level definitions, salary bands, benchmarking, pay equity, and how raises and promotions are decided. Use this to design or revise leveling, set or adjust salary bands, benchmark against market, handle a compensation request or counteroffer, run a review cycle, or diagnose pay compression and equity issues.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Compensation and leveling

> Compensation touches employment law, pay transparency requirements, and equal pay obligations that
> vary by jurisdiction. Structural work here is fine; specific decisions about individuals should be
> reviewed by qualified counsel or an HR professional.

## Leveling first

Pay structure without a leveling framework produces negotiated salaries, and negotiated salaries
produce inequity that correlates with who negotiates hardest.

Define each level by **scope and impact**, not tenure or task list:

- What ambiguity can they handle — a defined task, a defined problem, an undefined problem, a
  problem nobody has identified?
- What is the blast radius of their decisions — their work, their team, the function, the company?
- What do they do for others: execute, contribute, guide, or set direction?

Levels must be distinguishable in a sentence. If two adjacent levels cannot be told apart by
someone who does not know the people in them, they are one level.

## Bands

For each level, benchmark against a market defined by the roles you actually compete with for
candidates — not the whole industry, and not aspirational peers.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add cbrock84/headcount/compensation-and-leveling@sha256:5f3691d529e90119

The line at the top of this page pins the label git:20260916.0e7cd01, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_rcwjmvljepnvoza5.svg)](https://markdownregistry.com/a/art_rcwjmvljepnvoza5)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Aug 28, 2026 and Sep 16, 2026, about one every 9 days.

versioncommittedcommitsizeaudit
git:20260916.0e7cd01 latest2026-09-16 0e7cd01 4,153 BA view · diff
git:20260901.49e89d62026-09-01 49e89d6 3,814 BA view · diff
git:20260828.f80dcb52026-08-28 f80dcb5 3,216 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4153 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

cbrock84/headcount · 2,543 stars · license MIT · pushed 2026-10-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rcwjmvljepnvoza5
GET https://markdownregistry.com/api/v1/resolve?ref=cbrock84/headcount/compensation-and-leveling
GET https://markdownregistry.com/api/v1/blob/5f3691d529e90119376fa265d108077ba4db13398a85f571bcdca0b9ae09b1a5

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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