Borrowing it
Nothing to install: this file belongs to u9401066/academic-figures-mcp. 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/u9401066/academic-figures-mcp/main/.github/agents/context-loader.agent.mdgit clone --depth 1 https://github.com/u9401066/academic-figures-mcpWrote 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/academic-figures-mcp/context-loader)<a href="https://agentmods.dev/agents/u9401066/academic-figures-mcp/context-loader"><img src="https://agentmods.dev/badge/agents/u9401066/academic-figures-mcp/context-loader/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/agents/u9401066/academic-figures-mcp/context-loader"><img src="https://agentmods.dev/badge/agents/u9401066/academic-figures-mcp/context-loader.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 | $0.00040 | $0.00707 |
| Opus 5.5 | $0.00016 | $0.00283 |
| Sonnet 5.5 | $0.00008 | $0.00141 |
| Haiku 4.5 | $0.00004 | $0.00071 |
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 1mo 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.
This is a copy
100% identical to context-loader — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Context Loader（上下文載入器）
You are a context loading specialist for Academic Figures MCP. 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.
核心原則
「讀取一切，整理成摘要 — 你是專案的活字典」
- 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
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**: Academic Figures MCP
- **目標**: PubMed → 學術圖表 MCP Server
- **技術棧**: Python 3.10+, FastMCP, google-genai, uv
- **架構**: DDD (Domain → Application → Infrastructure → Presentation)
### 當前焦點
- [正在進行的工作]
### 近期決策
- [決策]: [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
- 列出頂層目錄結構
- 識別技術棧（pyproject.toml）
- 掃描 src/ 目錄結構
- 統計檔案數量和類型分布
- 識別入口點（server.py）
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
- 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.
- 1mo ago First seen · 70 lines · 40 tokens per session scan A 76710bbb0650
context-loader is an agent published in the GitHub repository u9401066/academic-figures-mcp (1 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 707 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to context-loader, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
context-finder
Read-only, memory- and index-aware codebase search. Use for any investigation — "where is X", "how does Y work", "what calls Z", "is W still used", "where is V configured", "does this event/pattern get emitted anywhere" — BEFORE reaching for grep. Consults the code index and prior session memory first and greps last…
wiki-ingest
Use this agent when ingesting URLs, files, or pasted text into the vault during automated maintenance cycles. Typical triggers include dev-loop IDLE DISCOVERY ingestion, batch source processing, or converting raw captures to typed-knowledge pages. See "When to invoke" in the agent body for worked scenarios.
data scientist
Ecosystem Data Scientist.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.