deep_analysis

A workflow for producing detailed stock-analysis reports from financial data, company news, and quantitative rules. It covers data collection, screening, and report assembly.

In plain words
What is it for?
Use it to prepare an investment report containing an investment thesis, risks, and a valuation range for a selected stock.
Why use it?
It organizes several analysis steps into one repeatable process so important financial, governance, valuation, and news information is considered together.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/agentpit-io/hunter-community/deep_analysis
Any agent
npx skills add agentpit-io/hunter-community --skill deep_analysis
Clone the repo
git clone --depth 1 https://github.com/agentpit-io/hunter-community

Made for: Claude Code, Codex.

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 309 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00034 $0.00309
Opus 5 $0.00017 $0.00154
Sonnet 5 $0.00007 $0.00062
Haiku 4.5 $0.00003 $0.00031

Measured 3d ago against content hash 414716339989, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deep_analysis 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 3d 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.

skills/deep_analysis/SKILL.md · 30 lines

What it actually says

UZI Deep Analysis (Adapted)

工作流 (已适配本系统)

  1. Step 1: 数据采集
    • 调用 uzi_stock_deep_analysis 获取个股 22 维度深度数据(含财务、治理、估值分位)。
    • 调用 watchlist_stock_news 获取近期重大事项。
  2. Step 2: 逻辑加工
    • 应用 UZI 180 条量化规则进行初筛。
    • 分析财务造假风险与行业竞争力。
  3. Step 3: 报告组装
    • 参照 references/report-template.md 格式,输出包含「投资论点、风险点、估值区间」的最终报告。
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. 3d ago First seen · 30 lines · 34 tokens per session scan A 414716339989

Subscribe to this mod's changes

deep_analysis is a skill published in the GitHub repository agentpit-io/hunter-community (345 stars, last pushed 4d ago), licensed Apache-2.0. It adds 34 tokens to every session and 309 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.

Related

Other skills, from other repositories