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 The-AI-Directory-Company/agents-and-skills --skill cloud-cost-analysisgit clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-skillsWrote 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/the-ai-directory-company/agents-and-skills/cloud-cost-analysis)<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/cloud-cost-analysis"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/cloud-cost-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.
<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/cloud-cost-analysis"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/cloud-cost-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00034 | $0.01655 |
| Opus 5.5 | $0.00014 | $0.00662 |
| Sonnet 5.5 | $0.00007 | $0.00331 |
| Haiku 4.5 | $0.00003 | $0.00166 |
Grade A, and why
cloud-cost-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 1mo 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cloud Cost Analysis
Before you start
Gather the following from the user:
- Which cloud provider(s)? (AWS, GCP, Azure, or multi-cloud)
- Current monthly spend (total and by service if available)
- Cost breakdown access (billing console exports, Cost Explorer data, or CSV dumps)
- Growth trajectory (expected traffic or workload changes over 6-12 months)
- Commitment constraints (existing reserved instances, savings plans, or enterprise agreements)
If the user says "our cloud bill is too high," push back: "What's your current monthly spend, which services make up the top 80%, and do you have any existing reservations or savings plans?"
Cost analysis template
1. Spend Summary
Break down current spend into the top cost categories. Cover at least 80% of total spend.
| Service | Monthly Cost | % of Total | Trend (3mo) |
|------------------|-------------|------------|-------------|
| EC2 / Compute | $42,300 | 38% | +12% |
| RDS / Databases | $28,100 | 25% | +5% |
| S3 / Storage | $15,200 | 14% | +8% |
| Data Transfer | $9,800 | 9% | +22% |
| Other | $15,600 | 14% | flat |
| **Total** | **$111,000**| **100%** | **+11%** |
2. Waste Identification
Audit each category for idle, oversized, or orphaned resources. Use this checklist:
- Idle resources: Instances, load balancers, or databases with <5% average utilization over 14 days
- Orphaned storage: Unattached EBS volumes, old snapshots, unused S3 buckets
- Oversized instances: CPU/memory utilization consistently below 30% — candidates for right-sizing
- Zombie environments: Dev/staging environments running 24/7 that could use scheduling
- Unused reservations: Reserved capacity for instance types no longer in use
For each finding, document the resource, its current cost, and the estimated savings.
3. Right-Sizing Recommendations
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 129 lines · 34 tokens per session scan A 9321a9455c00
cloud-cost-analysis is a skill published in the GitHub repository The-AI-Directory-Company/agents-and-skills (4 stars, last pushed 7mo ago), licensed MIT. It adds 34 tokens to every session and 1,655 once invoked, about $0.0001 per session on Opus 5.5. 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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