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 chtc66/academic-skills --skill survey-writergit clone --depth 1 https://github.com/chtc66/academic-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/skills/chtc66/academic-skills/survey-writer)<a href="https://agentmods.dev/skills/chtc66/academic-skills/survey-writer"><img src="https://agentmods.dev/badge/skills/chtc66/academic-skills/survey-writer/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/chtc66/academic-skills/survey-writer"><img src="https://agentmods.dev/badge/skills/chtc66/academic-skills/survey-writer.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 | $0.00055 | $0.00577 |
| Opus 5.5 | $0.00022 | $0.00231 |
| Sonnet 5.5 | $0.00011 | $0.00115 |
| Haiku 4.5 | $0.00006 | $0.00058 |
Grade A, and why
survey-writer 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 1mo 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.
What it actually says
Survey Writer
用这个 skill 围绕一个研究主题组织多篇论文，输出中文综述草稿。重点是梳理研究问题、方法演化、代表性路线和当前局限，而不是逐篇摘要拼接。
工作流
- 先确认覆盖范围：主题边界、论文数量、输入完整度。
- 判断输出模式：简版综述或长版综述。
- 依据
references/comparison_dimensions.md建立对比维度。 - 依据
references/related_work_patterns.md组织 related work 语言。 - 依据
references/survey_template.md输出综述草稿。
模式选择
- 在材料较少、用户只需快速整理时，输出简版综述。
- 在材料较多、需要形成成稿框架时，输出长版综述。
- 如果输入覆盖不全，在开头明确说明“当前综述仅覆盖已提供材料，不代表完整文献全景”。
输入处理规则
- 接收研究主题、多篇标题、摘要、PDF、链接，或用户已有的相关工作列表。
- 如果不同论文信息粒度不一致，先按可比字段组织，再明确缺口。
- 如果用户只给了论文列表而没有内容，先做结构化框架和阅读建议，不要伪造具体实验细节。
输出规则
- 不要按“论文 A 说了什么、论文 B 说了什么”的流水账方式写作。
- 强调问题定义、方法分类、方法演化、代表性工作对比和开放问题。
- 在 benchmark、dataset、metric 部分，只总结输入中明确出现的信息。
- 在“开放问题”和“值得继续看的方向”部分，区分已有证据支持的趋势与个人推断。
证据与表述约束
- 不要把覆盖不全的材料写成全面综述。
- 不要编造时间线、代表作地位或 benchmark 事实。
- 如果论文数量过少，明确输出“这是初步综述草稿，不足以代表完整研究版图”。
何时读引用文件
- 始终读取
references/survey_template.md。 - 在组织论文比较时读取
references/comparison_dimensions.md。 - 在写 related work 段落时读取
references/related_work_patterns.md。
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.
- 1mo ago First seen · 48 lines · 55 tokens per session scan A 489c3024812b
survey-writer is a skill published in the GitHub repository chtc66/academic-skills (366 stars, last pushed 6mo ago), licensed MIT. It adds 55 tokens to every session and 577 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.