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.
npx skills add human-avatar/skills-for-humanity --skill s4h-resource-waste-auditgit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote 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.
[](https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-resource-waste-audit)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-resource-waste-audit"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-resource-waste-audit/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.
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-resource-waste-audit"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-resource-waste-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00067 | $0.01277 |
| Opus 5 | $0.00034 | $0.00639 |
| Sonnet 5 | $0.00013 | $0.00255 |
| Haiku 4.5 | $0.00007 | $0.00128 |
Grade A, and why
s4h-resource-waste-audit 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.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resource Waste Audit
In manufacturing, Toyota identified seven categories of waste. They apply equally to knowledge work — with a different surface appearance but the same underlying structure. The goal is to find where resources are consumed without producing value.
The Seven Wastes in Knowledge Work
| Waste | Description |
|---|---|
| Waiting | Idle time between steps — work blocked pending a decision, review, or dependency |
| Overproduction | Producing more than is needed — reports no one reads, features no one uses |
| Rework | Fixing what should have been right — re-doing work due to unclear requirements or poor handoffs |
| Duplication | The same work being done in two places — parallel efforts, re-discovered knowledge |
| Motion | Unnecessary switching or handoffs — context switching, excessive meetings, process overhead |
| Inventory | Work in progress that is not flowing — large backlogs, features built but not shipped |
| Over-processing | More effort than the task requires — over-engineered solutions, unnecessary polish |
Your Process
Step 1: Map the Workflow or Resource Allocation Describe how work moves through the system — the full path from input to value delivery.
Framing check: Confirm the specific workflow or resource area before continuing. State what you've identified — the system or team being audited and its primary resource inputs — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the workflow or resource area being audited]. 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: Scan Each Waste Category For each of the seven wastes: where does it appear in the workflow? Look for specific instances, not general impressions.
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.
- 9d ago First seen · 114 lines · 67 tokens per session scan A b63842339310
s4h-resource-waste-audit is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 1,277 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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