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 | $0.00028 | $0.00289 |
| Sonnet 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 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.
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.
- 11d 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 (348 stars, last pushed 5mo ago), licensed MIT. It adds 55 tokens to every session and 577 once invoked, about $0.0003 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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