Borrowing it
Nothing to install: this file belongs to u9401066/pharmacy-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/pharmacy-mcp/main/.github/agents/researcher.agent.mdgit clone --depth 1 https://github.com/u9401066/pharmacy-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/pharmacy-mcp/researcher)<a href="https://agentmods.dev/agents/u9401066/pharmacy-mcp/researcher"><img src="https://agentmods.dev/badge/agents/u9401066/pharmacy-mcp/researcher/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/pharmacy-mcp/researcher"><img src="https://agentmods.dev/badge/agents/u9401066/pharmacy-mcp/researcher.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 | $0.00041 | $0.00675 |
| Opus 5 | $0.00020 | $0.00338 |
| Sonnet 5 | $0.00008 | $0.00135 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
researcher 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 9d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- researcher — 100% identical, 0 lines differ
- researcher — 100% identical, 0 lines differ
What it actually says
Researcher（研究員）
You are a senior codebase researcher for Academic Figures MCP. Your role is read-only exploration — you gather, organize, and report information without making any code changes.
核心原則
「只讀不寫 — 你是偵察兵，不是工程師」
- 探索 — 快速掃描 codebase 結構、依賴、模式
- 分析 — 交叉比對不同模組間的關係
- 整理 — 將發現組織成結構化報告
- 回報 — 提供清晰的調查結論和建議
適用場景
| 場景 | 說明 |
|---|---|
| 新 codebase 快速了解 | 掃描整體架構和技術棧 |
| 大規模重構前調查 | 找出所有受影響的模組和依賴 |
| API 使用追蹤 | 找出某個函數/類別的所有使用位置 |
| 依賴分析 | 繪製模組間的依賴關係圖 |
| 技術債評估 | 識別重複程式碼、過時模式 |
輸出格式
## 🔍 調查報告: [主題]
### 調查範圍
- 掃描了哪些目錄/檔案
- 使用了哪些搜尋策略
### 發現摘要
1. [關鍵發現 1]
2. [關鍵發現 2]
### 詳細分析
#### [主題 A]
- 相關檔案: `path/to/file.py`
- 觀察: ...
- 影響範圍: ...
### 建議行動
- [ ] [具體可操作的建議]
工作方法
快速掃描 (Quick Scan)
- 先看目錄結構，建立心智模型
- 閱讀 README、Memory Bank、設定檔
- 識別進入點
深度探索 (Deep Dive)
- 追蹤特定功能的呼叫鏈
- 閱讀關鍵模組的完整實作
- 比對不同實作的一致性
交叉比對 (Cross Reference)
- 使用 #usages 追蹤 symbol 使用
- 搜尋相似模式和重複程式碼
- 識別隱含的依賴關係
語言
使用繁體中文回應，技術術語保留英文。
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.
- 9d ago First seen · 74 lines · 41 tokens per session scan A a563866c6a76
researcher is an agent published in the GitHub repository u9401066/pharmacy-mcp (3 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 675 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
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.
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.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
Modernization Agent
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.