Borrowing it
Nothing to install: this file belongs to muhammad1438/academic-writer-skills. 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/muhammad1438/academic-writer-skills/master/AGENTS.mdgit clone --depth 1 https://github.com/muhammad1438/academic-writer-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/instructions/muhammad1438/academic-writer-skills/agents-md)<a href="https://agentmods.dev/instructions/muhammad1438/academic-writer-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/muhammad1438/academic-writer-skills/agents-md/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/instructions/muhammad1438/academic-writer-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/muhammad1438/academic-writer-skills/agents-md.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 | $0.02504 | $0.02504 |
| Opus 5 | $0.01252 | $0.01252 |
| Sonnet 5 | $0.00501 | $0.00501 |
| Haiku 4.5 | $0.00250 | $0.00250 |
Grade A, and why
academic-writer-skills AGENTS.md 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 — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Writer Skills — Multi-Agent Workflow Guide
This document describes how to orchestrate multiple Academic Writer skills in multi-agent pipelines for complex academic writing tasks.
Overview
The Academic Writer plugin uses academic-writing-core as the master orchestrator skill that routes tasks to 26 specialist skills. In multi-agent systems, you can run skills in parallel or sequence depending on task dependencies.
Skill Dependency Map
academic-writing-core (orchestrator)
├── paper-structure → defines sections for other skills
├── literature-review → feeds into argumentation-engine
├── argumentation-engine → feeds into paper-structure
├── abstract-writer → requires completed paper/draft
├── grammar-style-checker → final pass, no dependencies
├── citation-formatter → runs on any draft
├── reference-verifier → validates citation-formatter output
├── statistical-reporting → parallel with other sections
├── figure-table-checker → parallel with other sections
├── journal-selection → informs cover-letter-writer
└── cover-letter-writer → requires completed paper
Pipeline Patterns
Pattern 1: Full Research Paper
Run in sequence (each step depends on previous):
Step 1 (Structure):
Agent: paper-structure
Input: topic, paper type, discipline, target journal
Output: section outline with word counts
Step 2 (Parallel research):
Agent A: literature-review
Input: topic, key sources
Output: synthesised literature section
Agent B: statistical-reporting
Input: statistical results
Output: formatted results section
Step 3 (Writing):
Agent: academic-writing-core
Input: outline + literature + results
Output: full draft
Step 4 (Parallel polish):
Agent A: grammar-style-checker
Input: full draft
Output: corrected draft
Agent B: citation-formatter
Input: reference list
Output: formatted bibliography
Agent C: figure-table-checker
Input: figures and tables
Output: compliance report
Step 5 (Abstract):
Agent: abstract-writer
Input: completed paper
Output: structured abstract
Step 6 (Publication prep):
Agent A: journal-selection
Input: paper topic, target IF
Output: journal recommendations
Agent B: cover-letter-writer
Input: paper + selected journal
Output: submission cover letter
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 · 314 lines · 2,504 tokens per session scan A 1af1bb438b69
academic-writer-skills AGENTS.md is an instructions file published in the GitHub repository muhammad1438/academic-writer-skills (6 stars, last pushed 5mo ago), licensed MIT. It adds 2,504 tokens to every session, about $0.0125 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 2026-08-31.
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