value-thesis-tracker

value-thesis-tracker is a skill for Claude Code from Travisun/Opptrix. It costs 88 tokens per session (1,509 once invoked), scanned A, original, Apache-2.0.

A tracker for the investment case behind one company. It records the main reasons for owning it, the assumptions that must remain true, warning signs, and a reference point for judging its value.

In plain words
What is it for?
Use it to create or review a single-company investment thesis, check it quarterly, identify broken assumptions, and define possible research actions. It is not a multi-company dashboard or a short report revision tool.
Why use it?
It makes the reasons for an investment explicit and gives a regular way to check whether they are still valid. This helps prevent a cheap price from hiding a damaged business case.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to create or review a single-company investment thesis, check it quarterly, identify broken assumptions, and define possible research actions. It is not a multi-company dashboard or a short report revision tool.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/travisun/opptrix/value-thesis-tracker
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 Travisun/Opptrix --skill value-thesis-tracker
Clone the repo
git clone --depth 1 https://github.com/Travisun/Opptrix

Made for: Claude Code.

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 value-thesis-tracker

README.md
[![agentmods](https://agentmods.dev/badge/skills/travisun/opptrix/value-thesis-tracker/github.svg)](https://agentmods.dev/skills/travisun/opptrix/value-thesis-tracker)
Your own site
<a href="https://agentmods.dev/skills/travisun/opptrix/value-thesis-tracker"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/value-thesis-tracker/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 value-thesis-tracker

Your own site · 80×15
<a href="https://agentmods.dev/skills/travisun/opptrix/value-thesis-tracker"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/value-thesis-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,509 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 $0.00088 $0.01509
Opus 5 $0.00044 $0.00754
Sonnet 5 $0.00018 $0.00302
Haiku 4.5 $0.00009 $0.00151

Measured 5d ago against content hash 4646ec60a6b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

value-thesis-tracker 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 5d 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.

packages/agent-skills/builtin/value-thesis-tracker/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

价值投资论文追踪

署名:Opptrix · AI Berkshire 分析
源映射:AI Berkshire thesis-tracker → 本技能 value-thesis-tracker禁止覆盖 @skill:thesis-tracker

何时使用 / 非目标 / 边界

使用 不要用本技能
买入前写清卖出条件;季度检查核心假设与红线 多标的论点看板(workspace SSOT 状态表)→ @skill:thesis-tracker
单票巴菲特式论文健康度与行动建议 新旧报告漂移对比@skill:thesis-drift
从既有 research/team 报告抽取建档 单次短修订条目 → @skill:thesis-update

硬性边界thesis-tracker 是多标的论点生命周期看板;本技能是单票价值投资论文(5 句核心论文 + 假设 + 红线 + 估值锚点)的建立与追踪。

研究质量硬性规则(摘要)

  1. 四大师视角在「管理层/护城河/估值/能力圈」处显式触及或声明不足。
  2. 强制结论:论文完整 / 边际弱化 / 受损 / 破裂;动作:加仓 / 持有 / 减仓 / 清仓 / 灰色地带。
  3. 镜子测试:建立模式必须 5 句话写清;写不全 → 不得进入「可买入」叙事。
  4. A/B/C 标注;红线触发优先于「估值便宜」。
  5. get_current_time;事实|观点;估值用 @skill:financial-data 验算;免责声明。

取数

用途 工具
读既有报告/论文 workspace_read / read_document / search_library
刷新锚点 get_instrument_quotes / get_instrument_financial_indicators / get_instrument_financials
事件 list_news_articles / get_instrument_notices / get_notice_content
验算 activate_agent_skillfinancial-dataopptrix_run
持久化 workspace_write(建议路径:thesis/{symbol}-value-thesis.md

模式 A:建立论文

  1. 确认标的;优先从既有 investment-research / investment-team 产物抽取。
  2. 核心论文(≤200 字,5 句):生意本质、护城河、管理层、安全边际、下行保护。
  3. 核心假设清单(3–7 条):假设 | 验证方式 | 频率 | 状态。
  4. 红线清单:条件 | 严重度 | 触发后动作(致命=立即清仓研究建议等)。
  5. 估值锚点:买入时 / 乐观 / 中性 / 悲观(股价、倍数、内在价值示意、安全边际)。
  6. workspace_write 建档 → create_web

模式 B:追踪检查

  1. 读既有论文;无基线则转模式 A 或引导用户先建档。
  2. 刷新行情/财务/公告。
  3. 逐条更新假设状态:成立 / 边际弱化 / 受损 / 破裂。
  4. 红线检查;任一触发 → 醒目标注 + 行动建议。
  5. 估值锚点更新表。
  6. 健康度(研究用):10 - 破裂×3 - 受损×2 - 弱化×1 - 红线触发×5,夹在 1–10。
  7. 追加追踪记录;create_web
健康度 含义 建议动作(研究向)
9–10 假设更强 考虑加仓研究
7–8 核心成立 继续持有研究
5–6 部分受损 提高警惕
3–4 基础动摇 考虑减仓研究
1–2 红线或破裂 强烈建议卖出研究

网页目录

  1. 数据截止、A/B/C、署名
  2. 核心论文五句
  3. 假设表 / 红线表 / 估值锚点
  4. 健康度与强制结论
  5. 下次检查重点
  6. 事实 | 假设 | 推断 + 免责声明

Read the full file on GitHub · 98 lines

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. 5d ago First seen · 98 lines · 88 tokens per session scan A 4646ec60a6b2

Subscribe to this mod's changes

value-thesis-tracker is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed 2d ago), licensed Apache-2.0. It adds 88 tokens to every session and 1,509 once invoked, about $0.0004 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 2026-09-03.

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