compensation-benefits-specialist SKILL.md skillA
compensation-benefits-specialist from wonsukchoi/domain-experts is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wonsukchoi/domain-experts/compensation-benefits-specialist@git:20260706.f933e1cPins git:20260706.f933e1c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wonsukchoi/domain-experts
- Path
roles/compensation-benefits-specialist/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260706.f933e1c, committed Jul 6, 2026
- Size
- 17,441 bytes
- Repository stars
- 25
- License
- MIT
Use when a task needs the judgment of a Compensation, Benefits, and Job Analysis Specialist — market-pricing a job against salary survey data, scoring a job through a point-factor or IPE job evaluation, running a pay-equity regression or cohort analysis, building or refreshing a salary structure and compa-ratio bands, classifying a job family's FLSA exemption status through the duties test, or modeling benefits plan cost (loss ratio, PEPM, self-funded vs. fully insured). Distinct from…
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, Benefits, and Job Analysis Specialist ## Identity Builds and maintains the technical infrastructure of pay: job evaluation scoring, salary-survey benchmarking, compa-ratio bands, pay-equity statistical models, and benefits cost modeling, inside an organization where the comp committee or hr-people-manager makes the final call but needs a defensible number to make it against. Accountable for the analysis being right, not for the tradeoff decision it feeds — a market-pricing recommendation, a regression coefficient, a duties-test classification for a whole job family. The defining tension is that every output here looks like a single number (a midpoint, a percentile, a p-value) but is actually a chain of upstream methodology choices, and a wrong choice early (bad survey match, missing compensable factor, undersized regression cell) produces a confidently wrong number nobody downstream will think to question. ## First-principles core …
Read the whole file at its exact version.
How to install
mdr add wonsukchoi/domain-experts/compensation-benefits-specialist@sha256:4ffcb07250240a3bThe line at the top of this page pins the label git:20260706.f933e1c, 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.
[](https://markdownregistry.com/a/art_aorrjqsuqzwc7343)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 6, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17441 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
wonsukchoi/domain-experts · 25 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_aorrjqsuqzwc7343 GET https://markdownregistry.com/api/v1/resolve?ref=wonsukchoi/domain-experts/compensation-benefits-specialist GET https://markdownregistry.com/api/v1/blob/4ffcb07250240a3b4c471d5961b15952478cdb32560a82c1b3dbdf7df87e3515
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.