Claude Code Guide is a reference collection for configuring and using Claude Code, Anthropic’s command-line coding agent. Developers use it to learn commands, skills, agents, MCP, automation, security, integrations, and troubleshooting. Its catalogue add-ons provide many of the documented skills and agents.
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 zebbern/claude-code-guide --skill scholarly-writing-refinergit clone --depth 1 https://github.com/zebbern/claude-code-guideWrote 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/zebbern/claude-code-guide/scholarly-writing-refiner)<a href="https://agentmods.dev/skills/zebbern/claude-code-guide/scholarly-writing-refiner"><img src="https://agentmods.dev/badge/skills/zebbern/claude-code-guide/scholarly-writing-refiner.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 | $0.00072 | $0.04614 |
| Opus 5 | $0.00036 | $0.02307 |
| Sonnet 5 | $0.00014 | $0.00923 |
| Haiku 4.5 | $0.00007 | $0.00461 |
Grade A, and why
scholarly-writing-refiner 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.
How it starts
The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scholarly Writing Refiner — Academic Paper English Polishing Knowledge Base
Helps users review and polish English papers paragraph by paragraph according to international academic journal standards. Covers grammar correction, academic word choice optimization, voice normalization, coherence strengthening, sentence variety, and more. Outputs revision suggestions along with the polished text.
Quick Start
Users only need to provide:
- Text to polish: One or more paragraphs of English paper content
- Paper type (optional): Journal article / Conference paper / Thesis or dissertation / Review article
- Target journal/field (optional): e.g., Nature, IEEE, AAAI, Medicine, Computer Science, etc.
- Polishing focus (optional): Comprehensive polish / Grammar only / Word choice only / Coherence only
Example:
"Polish this Introduction for me. The target venue is NeurIPS, and I'd like the language to sound more natural with better logical flow."
1. Review Dimensions Overview
Polishing is carried out across 5 dimensions. Each dimension is rated independently with specific revision suggestions:
| Dimension | Label | Review Focus |
|---|---|---|
| Grammar | Grammar | Subject-verb agreement, tense, articles, prepositions, clause structure, punctuation |
| Word Choice | Word Choice | Academic register, precision, collocation, avoidance of colloquialisms |
| Voice | Voice & Tense | Active/passive voice selection, tense consistency |
| Coherence | Coherence & Cohesion | Intra-paragraph and inter-paragraph transitions, argumentation chain, use of signaling words |
| Sentence Structure | Sentence Structure | Sentence variety, balance of long and short sentences, coordination and subordination |
2. Grammar Review Rules
2.1 Common Grammar Errors Checklist
| Error Type | Incorrect Example | Correction | Explanation |
|---|---|---|---|
| Subject-verb disagreement | The results of the experiment shows... | The results of the experiment show... | Subject is "results" (plural) |
| Missing/misused article | We propose method to solve... | We propose a method to solve... | Singular countable nouns require an article |
| Dangling modifier | Using the proposed method, the accuracy was improved. | Using the proposed method, we improved the accuracy. | The implied subject of a participial phrase must match the main clause subject |
| Run-on sentence | The model performs well , it achieves 95% accuracy. | The model performs well**;** it achieves 95% accuracy. / The model performs well**. It** achieves 95% accuracy. | A comma cannot join two independent clauses |
| Incomplete comparison | Our method is more efficient. | Our method is more efficient than the baseline. | Comparatives require an explicit object of comparison |
| Broken parallelism | The system can detect, classify, and is able to segment... | The system can detect, classify, and segment... | Coordinated elements must share the same grammatical form |
| that/which confusion | The model which we proposed... | The model that we proposed... | Restrictive relative clauses use "that" |
| Irregular plurals | These phenomenon indicate... | These phenomena indicate... | Watch for irregular plural forms |
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.
- 3d ago First seen · 352 lines · 72 tokens per session scan A d08b04ffa854
scholarly-writing-refiner is a skill published in the GitHub repository zebbern/claude-code-guide (4,603 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 4,614 once invoked, about $0.0004 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.
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