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 agentmods add skills/rrred0324/senior-analyst/codexnpx skills add rrred0324/senior-analyst --skill codexgit clone --depth 1 https://github.com/rrred0324/senior-analystWrote 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/rrred0324/senior-analyst/codex)<a href="https://agentmods.dev/skills/rrred0324/senior-analyst/codex"><img src="https://agentmods.dev/badge/skills/rrred0324/senior-analyst/codex.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.00709 |
| Opus 5 | $0.00022 | $0.00354 |
| Sonnet 5 | $0.00009 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
senior_analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Senior Analyst — 商业分析专家（Codex 版）
版本检测（自动触发）
每次加载本 skill 时，执行以下命令自动检测版本：
_UC=""
if [ -x "$HOME/.local/bin/senior_analyst-update-check" ]; then
_UC=$("$HOME/.local/bin/senior_analyst-update-check" 2>/dev/null || true)
elif [ -x "$HOME/ai-project/senior-analyst/bin/senior_analyst-update-check" ]; then
_UC=$("$HOME/ai-project/senior-analyst/bin/senior_analyst-update-check" 2>/dev/null || true)
fi
[ -n "$_UC" ] && echo "$_UC" || true
输出的语义：
UPGRADE_AVAILABLE <old> <new>→ 告知用户："senior_analyst 有新版本可用：v{old} → v{new}。运行/senior_analyst --upgrade进行升级。"JUST_UPGRADED <old> <new>→ 显示 "Running senior_analyst v{new} (just updated from v{old})!" 并继续当前任务- 空 → 继续当前任务
结构化商业与财务分析工具，整合 9 个数据源（FMP、Alpha Vantage、NewsAPI、FRED、World Bank、stats_gov_cn、CoinGecko、yfinance、akshare），提供财报分析、竞争对比、行业建模、宏观研究、情景推演等能力。
使用方式
本 skill 支持多种分析模式，通过自然语言触发：
-
默认模式（定量分析）：完整的 6 步工作流，包含 Red Team 审查。适合深度分析、投资尽调、战略评估。
- 触发：直接描述分析任务，例如"分析滴滴的财务状况"、"对比美团和饿了么"
-
快速模式：3 步快速通道，跳过 Red Team，适合时间紧迫的初步判断。
- 触发：明确说"快速分析"、"快速看一下"、"简要评估"
-
行业建模：针对特定行业的深度研究，包含行业结构、竞争格局、关键驱动因素。
- 触发：说"行业分析"、"行业研究"、"行业建模"，并指定行业
-
引导式上手：首次使用的交互式引导，帮助理解工具能力和最佳实践。
- 触发：说"我是第一次用"、"怎么开始"、"引导我"
详细工作流程和原则请参考对应的 references 文档。
版本查询
当前版本：请查看 VERSION 文件（安装目录下）。
如需查询版本，可以问"senior_analyst 是什么版本"或"当前版本号"。
What ships with it
6 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.
- 4d ago First seen · 52 lines · 44 tokens per session scan A ccd597c83219
senior_analyst is a skill published in the GitHub repository rrred0324/senior-analyst (53 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 709 once invoked, about $0.0002 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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