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 XSpoonAi/spoon-awesome-skill --skill gas-optimizationgit clone --depth 1 https://github.com/XSpoonAi/spoon-awesome-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/xspoonai/spoon-awesome-skill/gas-optimization)<a href="https://agentmods.dev/skills/xspoonai/spoon-awesome-skill/gas-optimization"><img src="https://agentmods.dev/badge/skills/xspoonai/spoon-awesome-skill/gas-optimization.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.01222 |
| Opus 5 | $0.00023 | $0.00611 |
| Sonnet 5 | $0.00009 | $0.00244 |
| Haiku 4.5 | $0.00005 | $0.00122 |
Grade A, and why
gas-optimization 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 4d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
7 files 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.
- 4d ago First seen · 147 lines · 47 tokens per session scan A 1e9da48e50d7
gas-optimization is a skill published in the GitHub repository XSpoonAi/spoon-awesome-skill (17 stars, last pushed 5mo ago), with no licence file. It adds 47 tokens to every session and 1,222 once invoked, about $0.0002 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.
Other skills, from other repositories
blockchain-ethereum
Use this skill when asked about Ethereum internals, EVM deep dive, Ethereum consensus layer, execution clients, staking, EIPs, layer-2 scaling, account abstraction, PBS/MEV-Boost, EVM opcodes, and Ethereum protocol development. Languages: Go, Rust, C#, C++, Solidity. Covers EVM architecture (opcodes, gas metering…
ethereum-development
Production-grade Ethereum/EVM development workflow for smart contracts, dApps, transactions, clients, gas optimization, testing, security review, deployment, verification, monitoring, and incident response across Foundry, Hardhat, Solidity, TypeScript, viem, ethers, wagmi, and common EVM networks.
solidity-language-docs
Solidity 0.8.36 — smart contracts, types, functions, modifiers, events, inheritance, libraries, assembly, ABI.
analyzing-ethereum-smart-contract-vulnerabilities
Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to detect reentrancy, integer overflow, access control, and other vulnerability classes before deployment to Ethereum mainnet.
analyzing-ethereum-smart-contract-vulnerabilities
Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to detect reentrancy, integer overflow, access control, and other vulnerability classes before deployment to Ethereum mainnet.
evm-bytecode-analysis
Analyze supplied deployed EVM runtime bytecode with EVMole or guide a separate application in integrating a published EVMole Rust, Go, Python, or JavaScript binding. Use for unverified-contract inspection, ABI reconstruction from runtime code, selector discovery, storage-access analysis, EVM control-flow inspection…