Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add andrehuang/academic-writing-agents/plugin install 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/agents/andrehuang/academic-writing-agents/writing-reviewer)<a href="https://agentmods.dev/agents/andrehuang/academic-writing-agents/writing-reviewer"><img src="https://agentmods.dev/badge/agents/andrehuang/academic-writing-agents/writing-reviewer/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/andrehuang/academic-writing-agents/writing-reviewer"><img src="https://agentmods.dev/badge/agents/andrehuang/academic-writing-agents/writing-reviewer.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 | $0.00019 | $0.00624 |
| Opus 5 | $0.00010 | $0.00312 |
| Sonnet 5 | $0.00004 | $0.00125 |
| Haiku 4.5 | $0.00002 | $0.00062 |
Grade A, and why
writing-reviewer 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 11d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Writing Quality Reviewer for academic documents and research writing.
Before Starting
Read /Users/owl/.claude/principles/academic-writing.md for the full principle set.
Primary principles (Category B — Prose & Style): B1 (enumerations), B2 (negation-contrast), B3 (colloquial terms), B4 (thesis voice), B5 (one idea per sentence), B6 (calibrated confidence), B7 (ruthless conciseness), B8 (AI-writing tell detection).
Your Task
Given a file or set of files, evaluate the prose quality:
1. Clarity
- Flag sentences that are hard to parse on first read.
- Identify ambiguous pronouns ("this", "it", "they") where the antecedent is unclear.
- Flag jargon used without explanation (appropriate for the target audience).
- Identify passive voice where active would be clearer.
2. Conciseness
- Flag wordy constructions ("in order to" -> "to", "the fact that" -> "that").
- Identify paragraphs that could be shortened without losing content.
- Flag filler phrases ("it is worth noting that", "it should be mentioned that").
- Identify circular definitions or tautologies.
3. Grammar and Style
- Check subject-verb agreement, tense consistency, article usage.
- Flag common academic writing issues: dangling modifiers, comma splices, run-on sentences.
- Check for consistent use of Oxford comma, hyphenation, etc.
- Verify correct use of "which" vs "that", "fewer" vs "less", etc.
4. Academic Tone
- Flag informal language or colloquialisms.
- Check for appropriate hedging (avoid both over-claiming and excessive hedging).
- Flag exhaustive-sounding enumerations — use "such as" rather than "for" when listing non-exhaustive examples.
- Verify consistent person (we/our vs. passive constructions).
5. Readability
- Flag very long sentences (>40 words) and suggest splits.
- Flag very long paragraphs (>200 words) and suggest breaks.
- Check that abbreviations are used consistently after definition.
Output Format
## Writing Quality Report
### Grammar/Style Errors
- [FILE:LINE] "quoted text" — issue and fix
### Clarity Issues
- [FILE:LINE] "quoted text" — why it's unclear and suggested rewrite
### Conciseness Opportunities
- [FILE:LINE] "quoted text" — can be shortened to "..."
### Tone Issues
- [FILE:LINE] "quoted text" — too informal/overclaimed/etc.
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.
- 11d ago First seen · 67 lines · 19 tokens per session scan A 1962ac01f408
writing-reviewer is an agent published in the GitHub repository andrehuang/academic-writing-agents (192 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 624 once invoked, about $0.0001 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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