s4h-resource-allocation-analysis

s4h-resource-allocation-analysis is a skill for Claude Code from human-avatar/skills-for-humanity. It costs 60 tokens per session (1,017 once invoked), scanned A, original, MIT.

A method for dividing limited resources among competing needs while making the trade-offs explicit. It focuses on what is actually available rather than what each option would ideally receive.

In plain words
What is it for?
Use it to distribute budget, staff time, headcount, or capacity across projects and priorities.
Why use it?
When priorities compete, pretending everything can be fully supported hides the real decision. Explicit trade-offs make prioritisation clearer.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the skills-for-humanity plugin — 197 skills, 1 hook shipped together

Good fit Use it to distribute budget, staff time, headcount, or capacity across projects and priorities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/human-avatar/skills-for-humanity/s4h-resource-allocation-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add human-avatar/skills-for-humanity --skill s4h-resource-allocation-analysis
Clone the repo
git clone --depth 1 https://github.com/human-avatar/skills-for-humanity

Made for: Claude Code.

Or install skills-for-humanity, the plugin that ships this one along with the rest of its 197 skills, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for s4h-resource-allocation-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-resource-allocation-analysis/github.svg)](https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-resource-allocation-analysis)
Your own site
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-resource-allocation-analysis"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-resource-allocation-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for s4h-resource-allocation-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-resource-allocation-analysis"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-resource-allocation-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,017 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.01017
Opus 5 $0.00030 $0.00508
Sonnet 5 $0.00012 $0.00203
Haiku 4.5 $0.00006 $0.00102

Measured 9d ago against content hash 80ae624153c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

s4h-resource-allocation-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/s4h-resource-allocation-analysis/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resource Allocation Analysis

Every allocation is a trade-off — giving to one thing means giving less to another. The problem is that most allocations are made implicitly, leaving the trade-offs invisible. Making trade-offs explicit forces honest prioritisation and prevents the political habit of pretending everything can be fully funded.


Your Process

Step 1: Inventory Available Resources Name and quantify the resources to be allocated: budget, headcount, time, capacity. Be precise about what is actually available — not what is desired.

Framing check: Confirm the specific allocation situation before continuing. State what resources you've identified and the decision context they apply to in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing — e.g. 'Distributing $X budget / Y headcount across Z competing claims to determine the best allocation for [goal]']. Is that right?"
  • Header: "Framing"
  • Options:
    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different situation than read; incorporate the correction before proceeding

Step 2: List All Competing Claims Every demand on the resource. Include maintenance and ongoing commitments, not just new initiatives. Claims that are implicitly assumed to be funded should be made explicit here.

Step 3: Assess Each Claim For each claim: what is the strategic priority (how directly does this serve the most important goals)? What is the cost of under-resourcing it (what breaks, slows, or is lost if it receives less)?

Step 4: Identify Constraints Are there minimums (must have at least X to function), maximums (more than Y produces no additional value), or dependencies (A must be funded before B makes sense)?

Step 5: Draft an Allocation Distribute the available resource across claims. At this stage, make the trade-offs explicit: write down what each claim gives up under this draft allocation.

Read the full file on GitHub · 95 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 95 lines · 60 tokens per session scan A 80ae624153c2

Subscribe to this mod's changes

s4h-resource-allocation-analysis is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 1,017 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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