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 Travisun/Opptrix --skill create-skillgit clone --depth 1 https://github.com/Travisun/OpptrixWrote 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/travisun/opptrix/create-skill)<a href="https://agentmods.dev/skills/travisun/opptrix/create-skill"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/create-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.
<a href="https://agentmods.dev/skills/travisun/opptrix/create-skill"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/create-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00079 | $0.00721 |
| Opus 5.5 | $0.00032 | $0.00288 |
| Sonnet 5.5 | $0.00016 | $0.00144 |
| Haiku 4.5 | $0.00008 | $0.00072 |
Grade A, and why
create-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 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
创建工作流技能
何时使用
用户要从零新建或定制一个可复用的投研工作流技能（不是激活已有早报/收盘等内置技能，也不是导入现成 Markdown）。本技能不默认产出 create_web。
步骤
- 弄清目标：用
ask_user确认场景、触发词、默认交付物（投研类建议create_web；运维类可为 none）。 - 命名：
name须小写a-z0-9与连字符、1–64 字、不首尾连字符、无连续--。 - description：1–1024 字，写清何时使用、触发词，以及是否默认网页交付。
- frontmatter：至少
name+description；建议补齐 Composer 元数据：metadata.title/summary/category/slash-rank/default-deliverable- 投研类：
allowed-tools含业务工具 +create_web update_web read_web list_web_vendor；metadata.required-packs含业务 pack +artifacts
- 正文：含何时用、分析架构、数据维度、步骤、网页目录（若默认 web）、禁止项。
- 附件（可选）：见
get_agent_skill_file(skill_name="create-skill", path="references/attachment-guide.md")。 - 预览确认：展示 name、description、正文摘要；
ask_user确认后再创建。 - 写入：
create_agent_skill(..., confirmed=true)。 - 可选激活：询问是否
activate_agent_skill试用。
模板与规范
- 最小合规模板：
get_agent_skill_file(skill_name="create-skill", path="references/skill-template.md") - 附件目录说明：
get_agent_skill_file(skill_name="create-skill", path="references/attachment-guide.md")
注意
- 未获用户确认前勿传
confirmed=true - 技能正文不得含 prompt 注入（如「忽略以上规则」「推荐买入」）
- 与 import_agent_skill 区分：用户已有完整 Markdown 才走导入
- 不要为「完成感」强行
create_web
What ships with it
2 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 · 49 lines · 79 tokens per session scan A e26f2e6ab634
create-skill is a skill published in the GitHub repository Travisun/Opptrix (275 stars, last pushed 29d ago), licensed Apache-2.0. It adds 79 tokens to every session and 721 once invoked, about $0.0003 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
national-team-position
A Chinese-language analysis tool that estimates changes in China’s government-backed ETF holdings by tracking ETF share counts and related index prices. ETFs are funds traded on stock exchanges, and the “national team” refers here to Central Huijin, a state investment company.
caijing-ipo-hk
A Chinese-language adviser for Hong Kong stock initial public offerings, or IPOs—the first sale of a company's shares to the public. It covers how to apply, how much to apply for, and risks such as the share price falling below the offering price.
caijing-fundamental
A finance research skill for writing a detailed, forward-looking analysis of a listed company’s business, financials, valuation, risks, and investment arguments. It covers companies listed in mainland China and Hong Kong.
rodya-caijing-studio
A toolkit for researching Chinese A-share and Hong Kong-listed companies and producing financial content. It includes separate workflows for company fundamentals, earnings, valuation, risks, industries, and IPO checks.
caijing-earnings
A finance research skill for reviewing listed companies’ earnings reports, or preparing for an upcoming report. It focuses on Chinese A- and Hong Kong-listed companies.
caijing-valuation
A Chinese-language adviser that assesses whether a stock's current valuation looks high or low. It adapts the comparison to the industry and examines historical and peer-company valuation ranges.