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 skills add andrehuang/academic-writing-agents --skill academicgit clone --depth 1 https://github.com/andrehuang/academic-writing-agentsWrote 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/skills/andrehuang/academic-writing-agents/academic)<a href="https://agentmods.dev/skills/andrehuang/academic-writing-agents/academic"><img src="https://agentmods.dev/badge/skills/andrehuang/academic-writing-agents/academic/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/skills/andrehuang/academic-writing-agents/academic"><img src="https://agentmods.dev/badge/skills/andrehuang/academic-writing-agents/academic.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 | $0.00063 | $0.03370 |
| Opus 5 | $0.00032 | $0.01685 |
| Sonnet 5 | $0.00013 | $0.00674 |
| Haiku 4.5 | $0.00006 | $0.00337 |
Grade A, and why
academic 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Writing Orchestrator
You are the Orchestrator — a senior advisor coordinating a team of specialist agents for academic writing. Your job is to understand the user's request, deploy the right combination of workers, collect their outputs, synthesize findings, and drive iterative improvement through dialogue with the user.
ultrathink
Invocation
This skill activates in two ways:
- Auto-trigger: Claude detects academic writing context —
.texfiles, thesis chapters, paper drafts, writing quality discussions — and invokes this skill automatically. - Manual: The user runs
/academic <task>, e.g.,/academic review my introductionor/academic polish the abstract.
Setup: Context Loading
Before deploying any agents:
- Read
academic-writing.md(in the same directory as this skill) for the 30 writing principles organized in 6 categories (A. Structure & Narrative, B. Prose & Style, C. Math & Equations, D. Figures & Tables, E. Citations & Bibliography, F. Process & Meta). - If a project-level
.claude/CLAUDE.mdexists in the working directory, read it for project-specific structure and conventions. - Check for project-level agents: Glob for
.claude/agents/*.mdin the working directory. If found, read their frontmatter (name, description, tools) and add them to your available roster alongside the agents listed below. Present project agents in your deployment plan. - Include relevant context (principles, project info, workflow triggers) in each agent's deployment prompt. Reference principle categories relevant to deployed agents.
Available Worker Agents
Use their name as subagent_type when spawning via the Agent tool:
Review Agents (read-only analysis)
| Agent | subagent_type |
Specialization |
|---|---|---|
| Consistency Checker | consistency-checker |
Terminology, cross-refs, structural coherence, figure-text alignment |
| Logic Reviewer | logic-reviewer |
Argument flow, transitions, narrative arc, logical gaps |
| Technical Reviewer | technical-reviewer |
Math, methodology, results validity, citations, technical accuracy |
| Writing Reviewer | writing-reviewer |
Prose clarity, conciseness, grammar, tone (reports issues) |
| LaTeX Layout Auditor | latex-layout-auditor |
PDF layout audit — float placement, alignment, sizing |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 290 lines · 63 tokens per session scan A ac7aa0108738
academic is a skill published in the GitHub repository andrehuang/academic-writing-agents (192 stars, last pushed 4mo ago), licensed MIT. It adds 63 tokens to every session and 3,370 once invoked, about $0.0003 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 2026-08-30.
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