Borrowing it
Nothing to install: this file belongs to xianyu110/my-awesome-skills. 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/xianyu110/my-awesome-skills/main/.claude/skills/ai-code-generator/SKILL.mdgit clone --depth 1 https://github.com/xianyu110/my-awesome-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/xianyu110/my-awesome-skills/ai-code-generator)<a href="https://agentmods.dev/skills/xianyu110/my-awesome-skills/ai-code-generator"><img src="https://agentmods.dev/badge/skills/xianyu110/my-awesome-skills/ai-code-generator/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/xianyu110/my-awesome-skills/ai-code-generator"><img src="https://agentmods.dev/badge/skills/xianyu110/my-awesome-skills/ai-code-generator.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 | $0.00026 | $0.01023 |
| Opus 5 | $0.00013 | $0.00511 |
| Sonnet 5 | $0.00005 | $0.00205 |
| Haiku 4.5 | $0.00003 | $0.00102 |
Grade A, and why
ai-code-generator 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 11d 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 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.
- 11d ago First seen · 162 lines · 26 tokens per session scan A adc7dae1fc0a
ai-code-generator is a skill published in the GitHub repository xianyu110/my-awesome-skills (3 stars, last pushed 1mo ago), with no licence file. It adds 26 tokens to every session and 1,023 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
using-oac
Use when starting any conversation — establishes how to find and use OAC skills, requiring Skill tool invocation BEFORE ANY response including clarifying questions, this is your secret weapon to best perform your tasks.
code-execution
Use when a subtask is ready to implement and has a subtask JSON file with acceptance criteria and deliverables.
code-review
Use when code has been written and needs validation before committing, or when the user asks for a code review or security check.
debugger
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
parallel-execution
Use when multiple subtasks have no shared files or dependencies and can be executed simultaneously.
task-breakdown
Use when a feature touches 4 or more files, involves multiple components, or has subtasks that could run in parallel.