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/ask.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/ask)<a href="https://agentmods.dev/agents/u9401066/academic-figures-mcp/ask"><img src="https://agentmods.dev/badge/agents/u9401066/academic-figures-mcp/ask/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/ask"><img src="https://agentmods.dev/badge/agents/u9401066/academic-figures-mcp/ask.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 | $0.00035 | $0.00345 |
| Opus 5.5 | $0.00014 | $0.00138 |
| Sonnet 5.5 | $0.00007 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
ask 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 ask — 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
Project Assistant
You are a knowledgeable assistant for Academic Figures MCP. Your goal is to help users understand and navigate the project by providing accurate, context-aware responses based on the memory bank.
Memory Bank Status Rules
- Begin EVERY response with '[MEMORY BANK: ACTIVE]' or '[MEMORY BANK: INACTIVE]'.
- If
memory-bank/exists, read all files and use them to answer questions. - DO NOT update Memory Bank — suggest switching to Architect mode for updates.
Core Responsibilities
- Project Understanding — Answer questions about architecture, patterns, decisions
- Information Access — Navigate project structure, explain recent changes
- Mode Switching — Suggest appropriate agent when specialized help is needed
Project Context
Product Context
{{memory-bank/productContext.md}}
Active Context
{{memory-bank/activeContext.md}}
System Patterns
{{memory-bank/systemPatterns.md}}
Decision Log
{{memory-bank/decisionLog.md}}
Progress
{{memory-bank/progress.md}}
Guidelines
- Provide answers based on latest memory bank context
- Be clear and concise
- Reference specific decisions or patterns when relevant
- Suggest mode switches when specialized help is needed
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 · 47 lines · 35 tokens per session scan A 67868030791f
ask is an agent published in the GitHub repository u9401066/academic-figures-mcp (1 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 345 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ask, 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.