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 0dayInc/pwn --skill game_liftgit clone --depth 1 https://github.com/0dayInc/pwnWrote 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/0dayinc/pwn/game_lift)<a href="https://agentmods.dev/skills/0dayinc/pwn/game_lift"><img src="https://agentmods.dev/badge/skills/0dayinc/pwn/game_lift/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/0dayinc/pwn/game_lift"><img src="https://agentmods.dev/badge/skills/0dayinc/pwn/game_lift.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 | $0.00021 | $0.00261 |
| Opus 5.5 | $0.00008 | $0.00104 |
| Sonnet 5.5 | $0.00004 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
pwn-aws-gamelift 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 2mo 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
PWN::AWS::GameLift
This module provides a client for making API requests to Amazon GameLift.
When to use
Call PWN::AWS::GameLift from pwn_eval when the task needs this module.
Do not reimplement it in shell.
Methodologies
Generated from pwn/aws/game_lift.rb. Prefer the public class methods below.
Class methods take (opts = {}) and read opts.
How to call
PWN::AWS::GameLift.help
PWN::AWS::GameLift.connect(opts)
Public methods
connectdisconnectauthorshelp
Source
pwn/aws/game_lift.rb
Verification
PWN::AWS::GameLift.respond_to?(:connect) after the
module is loaded. Read the source for parameter names.
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.
- 2mo ago First seen · 49 lines · 21 tokens per session scan A e225d41d17fd
pwn-aws-gamelift is a skill published in the GitHub repository 0dayInc/pwn (86 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 261 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.
pwn-aws-gamelift compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pwn-aws-gamelift0dayInc/pwn | Skill | 86 | 2d ago | MIT | A | 21 | Claude Code |
| osmedeus-expertj3ssie/osmedeus | Skill | 6.6k | 1mo ago | MIT | A | 113 | Claude Code, Codex |
| performing-jwt-none-algorithm-attackxalgorix/xalgorix | Skill | 1.3k | yesterday | Apache-2.0 | A | 34 | Claude Code, Codex |
| performing-ai-assisted-vulnerability-discoveryxalgorix/xalgorix | Skill | 1.3k | yesterday | Apache-2.0 | A | 91 | Claude Code, Codex |
| analyzing-linux-elf-malwaremukul975/Anthropic-Cybersecurity-Skills | Skill | 36k | 2mo ago | Apache-2.0 | B | 82 | Claude Code |
| supabasePentesterFlow/agent | Skill | 1.4k | 2mo ago | Apache-2.0 | A | 120 | Claude Code |
| graphqlPentesterFlow/agent | Skill | 1.4k | 2mo ago | Apache-2.0 | A | 75 | Claude Code |