Agent skill

Workhuman Cost Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Govern Workhuman recognition budget, award spend, redemption, licensing, services, and integration operations using current customer evidence.

MITAuto-check passed

Install Workhuman Cost Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill workhuman-cost-tuning -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace workhuman-cost-tuning --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/workhuman-cost-tuning .claude/skills/workhuman-cost-tuning && 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
workhuman-cost-tuning
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
419 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Govern Workhuman recognition budget, award spend, redemption, licensing, services, and integration operations using current customer evidence.

  • Works in 8 steps: Freeze the review window, population,… → Reconcile invoices and commitments with… → Normalize currencies and time periods… → …
  • Reviewing cost and value
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Workhuman Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Govern Workhuman recognition budget, award spend, redemption, licensing, services, and integration operations using current customer evidence. Use when reviewing cost and value. Trigger with "optimize Workhuman cost".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code; budget, award, eligibility, license, service, and program changes require finance, HR, procurement, and program-owner approval

The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Reviewing cost and value
  • With optimize Workhuman cost

Example prompts

  • “optimize Workhuman cost”
  • “/workhuman-cost-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; budget, award, eligibility, license, service, and program changes require finance, HR, procurement, and program-owner approval
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

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

  1. Freeze the review window, population, currencies, budget basis, contract date, and owners.
  2. Reconcile invoices and commitments with recognition awards, active spend, redemption or liability reporting, services, taxes, and customer…
  3. Normalize currencies and time periods while preserving source, effective date, and accounting treatment.
  4. Calculate participation, recognition reach, manager and peer distribution, award mix, redemption experience, operational effort, and…
  5. Detect overspend, underspend, concentration, inequity, dormant entitlements, duplicate services, failed jobs, and support-heavy workflows…
  6. Model bounded scenarios with assumptions, confidence, financial impact, cultural or equity risk, and reversibility.
  7. Present policy, budget, eligibility, contract, or architecture changes to finance, HR, procurement, privacy, and program owners.
  8. After approval, canary reversible changes and compare spend, participation, equity, support, and business outcomes.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit

    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):

    • workhuman.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.

  • Compatibility

    Designed for Claude Code; budget, award, eligibility, license, service, and program changes require finance, HR, procurement, and program-owner approval

    From compatibility in the SKILL.md frontmatter.

Context cost

Workhuman Cost Tuning loads about 1.1k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 419 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 419 words, ~1,083 tokens.

Download SKILL.mdSave it as .claude/skills/workhuman-cost-tuning/SKILL.md (or your agent's skills folder).
name
workhuman-cost-tuning
description
Govern Workhuman recognition budget, award spend, redemption, licensing, services, and integration operations using current customer evidence. Use when reviewing cost and value. Trigger with "optimize Workhuman cost".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; budget, award, eligibility, license, service, and program changes require finance, HR, procurement, and program-owner approval
argument-hint
[program] [review-window]
version
1.4.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, workhuman, cost, budget, governance
model
inherit
effort
high

Workhuman Cost and Recognition-Budget Governance

Overview

Build a dated cost and value model that separates contract charges, recognition awards, redemption effects, services, and customer-operated integration costs.

Prerequisites

  • Current order form, invoices, program budget, award ledger, redemption reporting, and implementation or support statements
  • Eligible population, participation and outcome definitions, finance policy, and program owner
  • Data classification and approved aggregation thresholds for workforce analysis

Tool Discipline

Use Read, Glob, and Grep to inspect approved financial and operational evidence, WebFetch for current public context, and Write or Edit for models, scenarios, and redacted decision records.

Current Contract

Workhuman publicly describes active spend monitoring and control in Admin Hub and a points-based global Store. Public pages do not provide universal customer pricing or prove that one API call, award, point, or redemption has a fixed cost; use customer contract and ledger evidence.

Authentication

Use read-only authorized exports or reports for analysis. Separate financial, program, and technical access and never expose individual compensation, award, balance, or redemption details in broad reports.

Instructions

  1. Freeze the review window, population, currencies, budget basis, contract date, and owners.
  2. Reconcile invoices and commitments with recognition awards, active spend, redemption or liability reporting, services, taxes, and customer infrastructure.
  3. Normalize currencies and time periods while preserving source, effective date, and accounting treatment.
  4. Calculate participation, recognition reach, manager and peer distribution, award mix, redemption experience, operational effort, and approved outcome measures.
  5. Detect overspend, underspend, concentration, inequity, dormant entitlements, duplicate services, failed jobs, and support-heavy workflows without exposing individuals.
  6. Model bounded scenarios with assumptions, confidence, financial impact, cultural or equity risk, and reversibility.
  7. Present policy, budget, eligibility, contract, or architecture changes to finance, HR, procurement, privacy, and program owners.
  8. After approval, canary reversible changes and compare spend, participation, equity, support, and business outcomes.
Show full SKILL.md (122 more words)Show less

Approval Boundaries

Do not change budgets, award values, eligibility, redemption policy, licenses, contracts, or workforce communications without accountable owners.

Output

Return the reconciled baseline, dated sources, allocation and value metrics, anomalies, scenarios, assumptions, approvals, canary result, and review date.

Error Handling

ConditionResponse
Invoice and ledger totals disagreePreserve both, stop optimization, and route reconciliation to finance and the program owner.
A scenario harms equity or recognition qualityReject it even if nominal spend falls.
Pricing evidence is staleMark the model provisional and obtain current customer terms.

Example

A redacted completion receipt might look like this:

text
window=FY2026-Q3; sources=invoice+award-ledger+ops; reconciliation=exact; scenarios=3; recommendation=canary-schedule-change; savings=not-guaranteed

Resources

Next Steps

Review approved changes after a representative cycle and reverse them if participation, equity, quality, or outcomes regress.

© jeremylongshore, 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/.curated/workhuman-cost-tuning of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Workhuman Cost Tuning 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.

Workhuman Cost Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Workhuman Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Budget Cash Flowsickn33/agentic-awesome-skills47k1 repos~4.1kAutomated safety check: PassMIT
Docs Governanceaffaan-m/ECC277k—~1.1kAutomated safety check: PassMIT
Recognition Rewardssickn33/agentic-awesome-skills47k1 repos~3.4kAutomated safety check: PassMIT
Cost Budget Checkruvnet/ruflo74k—~645Automated safety check: NotesMIT
Token Budget Advisoraffaan-m/ECC276k—~910Automated safety check: PassMIT

Similar skills

  • Budget Cash Flow

    sickn33/agentic-awesome-skills

    Budget against actual by department, category and period, with budget and actual amounts, variance, percentage used and linked expenses.

    47k GitHub starsUsed in 1 repo~4.1k tokens
    Business, Finance & HRAuto-check passed
  • Docs Governance

    affaan-m/ECC

    Route broad documentation-governance requests to existing ECC skills and run an opt-in, read-only audit of mapped documentation roles, links, ADR indexes, and evidence references.

    277k GitHub stars~1.1k tokensUpdated today
    DevelopmentAuto-check passed
  • Recognition Rewards

    sickn33/agentic-awesome-skills

    Recognition register: employee, reward type, category, visibility, message and points awarded.

    47k GitHub starsUsed in 1 repo~3.4k tokens
    Auto-check passed
  • Cost Budget Check

    ruvnet/ruflo

    Read accumulated cost-tracking spend + budget config, compute utilization, emit 50/75/90/100% alert ladder

    74k GitHub stars~645 tokensUpdated yesterday
    AI & LLM EngineeringAuto-check: notes
  • 回答する前に、どれだけの回答深度を消費するかについてユーザーに情報に基づいた選択を提供する。ユーザーが回答の長さ、深さ、またはトークンバジェットを明示的に制御したい場合にこのスキルを使用する。トリガー条件:"token budget", "token count", "token usage", "token limit", "response length", "answer depth"…

    276k GitHub stars~910 tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • 在回答前,为用户提供关于消耗多少响应深度的知情选择。当用户明确希望控制响应长度、深度或令牌预算时使用此技能。触发条件:"token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed…

    276k GitHub stars~927 tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo
  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes
  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed
  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Questions about Workhuman Cost Tuning

What does Workhuman Cost Tuning do?

Govern Workhuman recognition budget, award spend, redemption, licensing, services, and integration operations using current customer evidence. Workhuman Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Govern Workhuman recognition budget, award spend, redemption, licensing, services, and integration operations using current customer evidence.

When should I use Workhuman Cost Tuning?

Workhuman Cost Tuning fits situations like: reviewing cost and value; with optimize Workhuman cost.

How do I install Workhuman Cost Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill workhuman-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/workhuman-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/workhuman-cost-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Workhuman Cost Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill workhuman-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/workhuman-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/workhuman-cost-tuning in your project. Codex loads it when a task matches its description.

Can I use Workhuman Cost Tuning 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 jeremylongshore/tons-of-skills-marketplace --skill workhuman-cost-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workhuman-cost-tuning, .gemini/skills/workhuman-cost-tuning, .github/skills/workhuman-cost-tuning and .opencode/skills/workhuman-cost-tuning in your project.

What does Workhuman Cost Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Workhuman Cost Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; budget, award, eligibility, license, service, and program changes require finance, HR, procurement, and program-owner approval.

Does Workhuman Cost Tuning access the network?

SKILL.md names 1 domain. As links in the text: workhuman.com. This is read from the text; nothing was executed.

Is Workhuman Cost Tuning 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 Workhuman Cost Tuning use?

Workhuman Cost Tuning 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 Workhuman Cost Tuning use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Workhuman Cost Tuning?

Skills that share tags, products or a category with Workhuman Cost Tuning: Budget Cash Flow (sickn33/agentic-awesome-skills, 47k stars), Docs Governance (affaan-m/ECC, 277k stars), Recognition Rewards (sickn33/agentic-awesome-skills, 47k stars) and Cost Budget Check (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Workhuman Cost Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

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