Borrowing it
Nothing to install: this file belongs to afaizalam2003/Master-claude-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/afaizalam2003/Master-claude-skill/main/.gemini/skills/llm-cost-optimizer/SKILL.mdgit clone --depth 1 https://github.com/afaizalam2003/Master-claude-skillWrote 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/afaizalam2003/master-claude-skill/llm-cost-optimizer)<a href="https://agentmods.dev/skills/afaizalam2003/master-claude-skill/llm-cost-optimizer"><img src="https://agentmods.dev/badge/skills/afaizalam2003/master-claude-skill/llm-cost-optimizer/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/afaizalam2003/master-claude-skill/llm-cost-optimizer"><img src="https://agentmods.dev/badge/skills/afaizalam2003/master-claude-skill/llm-cost-optimizer.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 | $0.00000 | $0.00012 |
| Opus 5 | $0.00000 | $0.00006 |
| Sonnet 5 | $0.00000 | $0.00002 |
| Haiku 4.5 | $0.00000 | $0.00001 |
Grade A, and why
llm-cost-optimizer 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 6d 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.
What it actually says
../../../engineering/llm-cost-optimizer/SKILL.md
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.
- 6d ago First seen · 1 lines · 0 tokens per session scan A 5e98620d24b8
llm-cost-optimizer is a skill published in the GitHub repository afaizalam2003/Master-claude-skill (2 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 12 tokens. 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.
Other skills, from other repositories
can
A debugging tool for CAN and CAN-FD, communication systems used by vehicles and embedded devices. It can find interfaces, monitor and send messages, record logs, decode DBC database files, and report bus statistics.
meta-prompting
Structured decision modifiers (/think, /verify, /adversarial, /edge, /confidence, /assumptions, etc.) to stress-test conclusions, evidence, assumptions, alternatives, and edge cases. Use when validating an important design, architecture decision, or ambiguous plan before committing.
ai-engineer
Expert knowledge in AI/ML development, model deployment, and MLOps practices.
x-bug2rag
A knowledge-capture tool that turns reusable bug explanations into a local RAG collection, meaning a searchable store of text that an agent can retrieve later. It records the trigger, incorrect implementation, correct implementation, and observable difference.
x-dev-rag-call
A local semantic search tool that finds relevant passages in specified Markdown or text files. It uses an embedding model, which represents meaning as numbers, to return the closest passages for a question or plan.
Cursor rules for Next
Cursor rules for Next.js development with React 19, Vercel AI, and Tailwind CSS integration.