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 shining319/claude-code-single-person-workflow --skill academic-writing-stylegit clone --depth 1 https://github.com/shining319/claude-code-single-person-workflowWrote 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/shining319/claude-code-single-person-workflow/academic-writing-style)<a href="https://agentmods.dev/skills/shining319/claude-code-single-person-workflow/academic-writing-style"><img src="https://agentmods.dev/badge/skills/shining319/claude-code-single-person-workflow/academic-writing-style/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/shining319/claude-code-single-person-workflow/academic-writing-style"><img src="https://agentmods.dev/badge/skills/shining319/claude-code-single-person-workflow/academic-writing-style.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 | $0.00115 | $0.01771 |
| Opus 5 | $0.00057 | $0.00886 |
| Sonnet 5 | $0.00023 | $0.00354 |
| Haiku 4.5 | $0.00012 | $0.00177 |
Grade A, and why
academic-writing-style 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Writing Style
Transform provided information into well-written academic assignments that match the user's natural writing style, avoiding obvious AI patterns while maintaining professional quality.
Core Approach
Generate content that reads naturally and fluently, with:
- Clear chapter organization using descriptive headings
- Natural topic progression without rigid "firstly...secondly...finally" structures
- Moderate use of first-person perspective appropriate to assignment type
- Specific examples and details rather than generic statements
- Mixed sentence lengths without excessive complexity
- Proper punctuation for target language (Chinese or English)
Before Writing
-
Clarify assignment requirements:
- Assignment type (technical analysis, research review, case study, etc.)
- Target language (Chinese, English, or both)
- Expected length or scope
- Specific topics or concepts to cover
- Any special requirements
-
Load appropriate references:
- For Chinese assignments: read
references/chinese-examples.md - For English assignments: read
references/english-examples.md - Always read
references/writing-guidelines.mdfor core principles
- For Chinese assignments: read
-
Assess personalization level:
- Technical analyses: More objective, minimal first-person
- Research reviews: Moderate personal voice
- Case studies: Higher personalization appropriate with reflections
Writing Process
Structure Development
Create descriptive chapter headings that preview content rather than generic labels:
- Instead of "Introduction" → "Docker and the Container Revolution: A Practical Perspective"
- Instead of "Analysis" → "从繁琐到简洁：Spring Boot如何改变Java开发"
- Instead of "Conclusion" → "Migrating a Production Database: Lessons from a Zero-Downtime PostgreSQL Switch"
Organize content by natural topic flow, allowing chapters to build on each other through content connections rather than explicit transitions.
Paragraph Construction
Integrate information into flowing paragraphs instead of lists. When information naturally forms a list, embed it in prose:
What ships with it
4 files 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 · 230 lines · 115 tokens per session scan A 6429488426bc
academic-writing-style is a skill published in the GitHub repository shining319/claude-code-single-person-workflow (21 stars, last pushed 7mo ago), licensed MIT. It adds 115 tokens to every session and 1,771 once invoked, about $0.0006 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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