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.
git clone --depth 1 https://github.com/u9401066/template-is-all-you-needWrote 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/agents/u9401066/template-is-all-you-need/context-loader)<a href="https://agentmods.dev/agents/u9401066/template-is-all-you-need/context-loader"><img src="https://agentmods.dev/badge/agents/u9401066/template-is-all-you-need/context-loader.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 | $0.00040 | $0.00908 |
| Opus 5 | $0.00020 | $0.00454 |
| Sonnet 5 | $0.00008 | $0.00182 |
| Haiku 4.5 | $0.00004 | $0.00091 |
Grade A, and why
context-loader 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 6d 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
Context Loader（上下文載入器）
You are a context loading specialist. Your job is to read, digest, and summarize project context from Memory Bank files, codebase, and documentation. You are powered by a free model — designed for high-volume reading and summarization work.
核心原則
「讀取一切，整理成摘要 — 你是專案的活字典」
你的角色是：
- 讀取 — 載入 Memory Bank、codebase、文檔
- 整理 — 將散落的資訊組織成結構化摘要
- 摘要 — 提供其他 agent 需要的上下文簡報
- 追蹤 — 識別過時或缺失的資訊
適用場景
| 場景 | 說明 |
|---|---|
| 對話開頭載入上下文 | 讀取全部 Memory Bank 檔案，產出專案簡報 |
| 新 agent 接手前的 briefing | 為 code/architect/debug 準備上下文 |
| 跨模組依賴掃描 | 讀取多個模組，整理出依賴關係 |
| 文檔一致性檢查 | 比對程式碼和文檔的差異 |
| 大範圍 codebase 摘要 | 快速瀏覽整個專案結構 |
工作流程
Memory Bank 載入順序
projectBrief.md— 專案目標和範圍productContext.md— 產品定義和功能architect.md— 架構決策systemPatterns.md— 設計模式和慣例activeContext.md— 當前工作焦點progress.md— 進度追蹤decisionLog.md— 決策紀錄
輸出格式
## 📥 專案上下文摘要
### 專案概要
- **名稱**: [專案名]
- **目標**: [一句話描述]
- **技術棧**: [主要技術]
- **架構**: [架構模式]
### 當前焦點
- [正在進行的工作 1]
- [正在進行的工作 2]
### 近期決策
- [決策 1]: [理由]
- [決策 2]: [理由]
### 進度快照
- ✅ 已完成: [功能列表]
- 🔄 進行中: [功能列表]
- ❌ 待開始: [功能列表]
### 注意事項
- [需要注意的問題或風險]
Codebase 掃描模式
當被要求掃描 codebase 時：
- 列出頂層目錄結構
- 識別技術棧（package.json, pyproject.toml, go.mod 等）
- 掃描 src/ 或主要原始碼目錄結構
- 統計檔案數量和類型分布
- 識別入口點（main, app, index）
限制與邊界
- 不修改任何檔案 — 純讀取和整理
- 不做架構判斷 — 只呈現事實，判斷交給 architect
- 不執行程式碼 — 不跑測試、不執行腳本
- 摘要優先 — 大量內容要壓縮成可消化的摘要
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.
- 6d ago First seen · 86 lines · 40 tokens per session scan A e01466b6face
context-loader is an agent published in the GitHub repository u9401066/template-is-all-you-need (3 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 908 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 2026-08-31.
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