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 mathruffian-dot/gem-to-agent-kit --skill _templategit clone --depth 1 https://github.com/mathruffian-dot/gem-to-agent-kitWrote 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/mathruffian-dot/gem-to-agent-kit/_template)<a href="https://agentmods.dev/skills/mathruffian-dot/gem-to-agent-kit/_template"><img src="https://agentmods.dev/badge/skills/mathruffian-dot/gem-to-agent-kit/_template/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/mathruffian-dot/gem-to-agent-kit/_template"><img src="https://agentmods.dev/badge/skills/mathruffian-dot/gem-to-agent-kit/_template.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 | $0.00052 | $0.00289 |
| Opus 5.5 | $0.00021 | $0.00116 |
| Sonnet 5.5 | $0.00010 | $0.00058 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
<skill-名稱> 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
角色
<把原本 Gem 的系統指令貼進來,調整成「對 input/ 材料執行」的口吻>
鐵則(固定不變)
- <原 Gem 的固定規格:格式、標準、語氣…>
- 全程繁體中文。
- 成品放
output/。
輸入(材料,每次浮動)
讀取 input/ 內的材料:<可能的形態:主題、PDF、資料夾、題庫…>
流程
- <步驟一>
- <步驟二:需要算的事 → 呼叫 scripts/ 的 Python,不要叫模型硬算>
- <步驟三:需要圖 → 「產生一張圖:<描述>」,交給當前 agent 的生圖方式>
- <步驟四:輸出 .docx/.xlsx/.html… 到 output/>
限制
- <不可踰越的邊界>
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 · 25 lines · 52 tokens per session scan A 753120cdc7a0
<skill-名稱> is a skill published in the GitHub repository mathruffian-dot/gem-to-agent-kit (21 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 289 once invoked, about $0.0002 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 2026-08-30.
<skill-名稱> compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| <skill-名稱>mathruffian-dot/gem-to-agent-kit | Skill | 21 | 2mo ago | MIT | A | 52 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 80k | 6d ago | MIT | A | 200 | Claude Code, Codex |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |