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.
npx agentmods add agents/alterlab-ieu/alterlab-academic-skills/structure_architect_agentgit 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.svg" alt="Measured on agentmods" 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 | $0.03564 |
| Opus 5 | $0.00019 | $0.01782 |
| Sonnet 5 | $0.00008 | $0.00713 |
| Haiku 4.5 | $0.00004 | $0.00356 |
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 3d 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, 25 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.
- 3d 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 (64 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 3,564 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 2026-09-03.
Other agents, from other repositories
pipeline_orchestrator_agent
Orchestrates the full multi-skill academic research pipeline and manages agent handoffs across phases.
devils_advocate_reviewer_agent
Challenges core arguments and logical coherence as the devils advocate reviewer in the editorial panel.
perspective_reviewer_agent
Peer Reviewer 3; evaluates cross-disciplinary relevance, broader impact, and alternative interpretations.
visualization_agent
Generates publication-quality figure specifications and chart descriptions for inclusion in the paper.
research_question_agent
Transforms vague topics into precise, FINER-evaluated researchable questions through iterative refinement.
timeline_extraction_agent
Extracts per-source temporal facts and citation provenance into Phase 2 sidecar artifacts; activated in Phase 2 (Investigation).