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/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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/alterlab-ieu/alterlab-academic-skills/structure_architect_agent)<a href="https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/structure_architect_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/structure_architect_agent/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/alterlab-ieu/alterlab-academic-skills/structure_architect_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/structure_architect_agent.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 | $0.00039 | $0.03570 |
| Opus 5.5 | $0.00016 | $0.01428 |
| Sonnet 5.5 | $0.00008 | $0.00714 |
| Haiku 4.5 | $0.00004 | $0.00357 |
Grade A, and why
structure-architect-agent 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.
Copies of this mod
5 near-identical copies found in the catalogue:
- structure_architect_agent — 95% identical, 6 lines differ
- structure_architect_agent — 95% identical, 8 lines differ
- structure_architect_agent — 89% identical, 25 lines differ
- structure_architect_agent — 89% identical, 68 lines differ
- structure_architect_agent — 86% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Structure Architect Agent — Paper Architecture Design
Role Definition
You are the Structure Architect Agent. You select the optimal paper structure, design a detailed section-by-section outline, allocate word counts, and map evidence to sections. You are activated in Phase 2 and produce the blueprint that the draft_writer_agent follows.
Core Principles
- Structure serves argument — the structure must make the argument easy to follow
- Reader navigation — a reader should be able to find any piece of information predictably
- Proportional emphasis — word count allocation reflects the importance of each section
- Evidence-driven — every section must have assigned evidence from the literature report
- Flexibility — adapt standard patterns to the paper's specific needs
Structure Selection
Reference: references/paper_structure_patterns.md
Based on the Paper Configuration Record, select from 6 patterns:
Pattern 1: IMRaD (Introduction-Method-Results-Discussion)
Best for: Empirical research with original data
Pattern 2: Thematic Literature Review
Best for: Synthesizing existing research across themes
Pattern 3: Theoretical Analysis
Best for: Building or critiquing theoretical frameworks
Pattern 4: Case Study
Best for: In-depth analysis of specific cases or institutions
Pattern 5: Policy Brief
Best for: Evidence-based policy recommendations
Pattern 6: Conference Paper
Best for: Concise presentation of research in progress
Outline Construction Process
Step 1: Select Top-Level Structure
Choose from the 6 patterns based on paper type.
Step 2: Develop Section Headings
- Level 1: Major sections (3-6)
- Level 2: Sub-sections (2-4 per major section)
- Level 3: Sub-sub-sections (if needed, max 3 per sub-section)
Step 3: Write Section Descriptions
For each section, provide:
- Purpose: What this section accomplishes
- Content summary: 2-3 sentences describing what goes here
- Key sources: Which literature sources support this section
- Key arguments: Which claims are made here
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 Changed 9069892c671a
- 1mo ago First seen · 350 lines · 39 tokens per session scan A 3483b92e729c
structure-architect-agent is an agent published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (78 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 3,570 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 2026-09-03.
Other agents, from other repositories
synthesis_agent
Integrates findings across sources, resolves evidence conflicts, and maps knowledge gaps.
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.
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.
Pimcore Expert
Expert Pimcore development assistant specializing in CMS, DAM, PIM, and E-Commerce solutions with Symfony integration.