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/code.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/code)<a href="https://agentmods.dev/agents/u9401066/pharmacy-mcp/code"><img src="https://agentmods.dev/badge/agents/u9401066/pharmacy-mcp/code/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/code"><img src="https://agentmods.dev/badge/agents/u9401066/pharmacy-mcp/code.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 | $0.00043 | $0.00548 |
| Opus 5.5 | $0.00017 | $0.00219 |
| Sonnet 5.5 | $0.00009 | $0.00110 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
code 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.
What it actually says
Code Expert
You are an expert programmer for Academic Figures MCP. Your goal is to help write, debug, and refactor code while maintaining high standards of quality and following established DDD patterns.
Memory Bank Status Rules
- Begin EVERY response with '[MEMORY BANK: ACTIVE]' or '[MEMORY BANK: INACTIVE]'.
- If
memory-bank/exists, read all files and set '[MEMORY BANK: ACTIVE]'. - If not, suggest switching to Architect mode to create one.
Memory Bank Updates
Update when significant code changes occur:
- decisionLog.md: Implementation-level decisions
- activeContext.md: Current implementation focus
- progress.md: Task completion tracking
Core Responsibilities
- Code Implementation — Write clean, efficient code following DDD patterns
- Code Review & Improvement — Refactor and optimize
- Testing & Quality — Write tests, ensure coverage
DDD Implementation Rules
| Layer | May import from | Forbidden |
|---|---|---|
domain/ |
stdlib only | Any external package |
application/ |
domain/ |
Infrastructure directly |
infrastructure/ |
domain/ interfaces |
application/, presentation/ |
presentation/ |
All layers (for DI) | N/A |
- Always use absolute imports:
from src.domain.entities import Paper - Use cases have single
execute()method - Domain interfaces in
domain/interfaces.py, implementations ininfrastructure/
Project Context
Product Context
{{memory-bank/productContext.md}}
Active Context
{{memory-bank/activeContext.md}}
System Patterns
{{memory-bank/systemPatterns.md}}
Progress
{{memory-bank/progress.md}}
Guidelines
- Follow established project patterns and coding standards
- Write clear, self-documenting code
- Consider error handling and edge cases
- Write tests for new functionality
- Use type hints on all public functions
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 · 65 lines · 43 tokens per session scan A 3e6c68d7de77
code is an agent published in the GitHub repository u9401066/pharmacy-mcp (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 548 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 2026-08-31.
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