cs-search-skill

cs-search-skill is a skill for Codex from ChenShuo2004/cs-skills. It costs 49 tokens per session (594 once invoked), scanned A, original, MIT.

A research workflow for investigating a product, company, technology, market, or competitor group. It produces a source-backed decision brief, usually comparing several relevant alternatives.

In plain words
What is it for?
Use it to research history, current capabilities, users, pricing, competitors, market conditions, user feedback, business models, risks, and next steps.
Why use it?
It turns a vague research request into a defined question, gathers current evidence from multiple sources, separates facts from inferences, and preserves traceable support for important conclusions.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Use it to research history, current capabilities, users, pricing, competitors, market conditions, user feedback, business models, risks, and next steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chenshuo2004/cs-skills/cs-search-skill
Install

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.

Any agent
npx skills add ChenShuo2004/cs-skills --skill cs-search-skill
Clone the repo
git clone --depth 1 https://github.com/ChenShuo2004/cs-skills

Made for: Codex.

Wrote 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.

agentmods badge for cs-search-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-search-skill/github.svg)](https://agentmods.dev/skills/chenshuo2004/cs-skills/cs-search-skill)
Your own site
<a href="https://agentmods.dev/skills/chenshuo2004/cs-skills/cs-search-skill"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-search-skill/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.

agentmods 80×15 button for cs-search-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/chenshuo2004/cs-skills/cs-search-skill"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-search-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 594 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.00594
Opus 5.5 $0.00020 $0.00238
Sonnet 5.5 $0.00010 $0.00119
Haiku 4.5 $0.00005 $0.00059

Measured 19d ago against content hash e1e50da85712, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cs-search-skill 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 19d 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.

cs-search-skill/SKILL.md · 33 lines

What it actually says

CS Search Skill

回答用户要做的决定,以证据支撑建议。默认中文简报;明确要求报告、文件或 PDF 时采用对应形式,不在研究末尾临时询问格式。

研究范围

从请求和已有材料确定对象、决策、时间与地区。只有同名实体无法区分或缺失信息会改变研究方向时提问;其他采用透明默认。

比较数量与维度服从问题。通常选少量真正可替代的方案;用户只问两家就比两家,不为凑 3–5 家扩大范围。发展史、融资、用户口碑仅在影响决策时展开。

证据工作

  • 先用现有材料建立待验证问题,再搜索最新公开来源并打开原文;搜索摘要只是线索。
  • 技术结论优先官方文档、仓库和论文;价格、产品规格、政策或当前状态核对直接来源与日期。用户评论用于体验线索,不冒充总体样本。
  • 对影响决策的争议或高风险结论做独立交叉验证;多篇转载不算独立证据。单一权威来源足以回答的稳定事实无需凑第二来源。
  • 每个核心结论保留来源标题、URL、更新时间/访问日期与支持范围。无法访问的来源不声称已读,不用推测补数值。
  • 冲突证据优先比较适用版本、地区、定义和日期,不能只挑支持自己结论的材料。

综合与停止条件

区分事实、推断和未知,给出建议、条件与能改变建议的证据。继续检索必须回答一个仍影响选择的问题;当决策已有足够支撑、关键冲突已处理或明确暴露后交付,不为篇幅补资料。

报告先给结论,随后关键证据、必要比较、风险和下一步。引用紧邻相关断言,附研究截止日期;不强制长目录或无关历史章节。

完整报告按用户要求扩展。PDF 使用当前可用的文档工具生成并检查;工具不可用先交付完成的研究正文,明确文件缺口。用户要求“调研后写文章”时,完成事实简报后直接交接 $cs-writer,不重复索要写作授权。

Files

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.

Changes

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.

  1. 19d ago Changed · -167 lines · -52 tokens per session e1e50da85712
  2. 1mo ago First seen · 200 lines · 101 tokens per session scan A 98a75329e333

Subscribe to this mod's changes

cs-search-skill is a skill published in the GitHub repository ChenShuo2004/cs-skills (204 stars, last pushed 18d ago), licensed MIT. It adds 49 tokens to every session and 594 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.

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