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 eric861129/SKILLS_All-in-one --skill skill-onboarding-guidegit clone --depth 1 https://github.com/eric861129/SKILLS_All-in-oneWrote 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/eric861129/skills_all-in-one/skill-onboarding-guide)<a href="https://agentmods.dev/skills/eric861129/skills_all-in-one/skill-onboarding-guide"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/skill-onboarding-guide/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/eric861129/skills_all-in-one/skill-onboarding-guide"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/skill-onboarding-guide.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 | $0.00015 | $0.00592 |
| Opus 5 | $0.00008 | $0.00296 |
| Sonnet 5 | $0.00003 | $0.00118 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
Skill Onboarding Guide 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.
What it actually says
Skill Onboarding Guide (技能上架 SOP)
此技能定義了在 SKILLS_All-in-one 平台中新增一個 AI 技能的標準流程。請務必遵循以下步驟以確保系統的一致性與功能的完整性。
📥 初始步驟
當下載新的技能檔案後，請先將其放入：
@public\SKILLS\Uncategorized\**
🛠️ 作業流程
1. 分類該 SKILL (Classification)
- 根據技能的功能，從現有的分類中選擇最合適的一個（例如：Development & Code Tools, Data & Analysis 等）。
- 將檔案夾從
Uncategorized移動到@public\SKILLS\{Category}\{FolderName}\。
2. 資料庫同步 (Database Update)
- 在
@database/init_skills.sql的最底部新增一段INSERT INTO Skill ...的 SQL 語法。 - 欄位注意事項：
id: 請接續目前最高的 ID。downloadCount: 預設為0。createdAt: 使用目前的日期 (YYYY-MM-DD)。folderName: 必須與實體資料夾名稱一致。
3. 前端元資料同步 (Frontend Metadata)
- 在
@src/data/skills.ts中新增該技能的物件。 - 欄位包含
id,name,nameZh,description,descriptionZh,category,tags,downloadCount(預設為 0) 等。
4. 資源清單同步 (Manifest Update)
- 在
@public/skills-manifest.json中新增該技能的檔案結構。 - 格式範例：
"folder-name": { "category": "Category Name", "files": ["SKILL.md", "references/readme.md"] }
✅ 最終檢查清單 (Checklist)
- 實體檔案路徑正確且包含
SKILL.md。 -
init_skills.sql已加入該筆資料。 -
src/data/skills.ts已加入該筆資料且 ID 無衝突。 -
skills-manifest.json已更新，確保前端下載功能正常。 - 執行
npm run prebuild(若適用) 以重新生成清單。
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 · 56 lines · 15 tokens per session scan A edb70fc643a4
Skill Onboarding Guide is a skill published in the GitHub repository eric861129/SKILLS_All-in-one (52 stars, last pushed 4mo ago), licensed MIT. It adds 15 tokens to every session and 592 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 2026-08-30.
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