thesis-tracker

thesis-tracker is a skill for Claude Code, Codex from HKUDS/Vibe-Trading. It costs 109 tokens per session (2,098 once invoked), scanned A, original, MIT.

An investment-tracking workflow that records why you own a company and checks that reasoning against later earnings and events. It uses explicit assumptions, sell conditions, valuation reference points, and a thesis-health score.

In plain words
What is it for?
Use it to create an investment thesis for a company and perform quarterly reviews of its assumptions, warning signs, valuation, and new results.
Why use it?
It helps prevent emotional selling, holding after the original case has failed, or forgetting why an investment was made. Regular checks make changes in the business easier to evaluate.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create an investment thesis for a company and perform quarterly reviews of its assumptions, warning signs, valuation, and new results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hkuds/vibe-trading/thesis-tracker
About the project

Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.

HKUDS/Vibe-Trading · 33,017 stars · on GitHub · vibetrading.wiki

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 HKUDS/Vibe-Trading --skill thesis-tracker
Clone the repo
git clone --depth 1 https://github.com/HKUDS/Vibe-Trading

Made for: Claude Code, 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 thesis-tracker

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/hkuds/vibe-trading/thesis-tracker"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/thesis-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,098 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. ✓ AI security review Fable 5.1 · 6 Sept 2026 📄 Read the review Third-party audits
  • Snyk warn 7 Sept 2026
  • 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 $0.00109 $0.02098
Opus 5 $0.00055 $0.01049
Sonnet 5 $0.00022 $0.00420
Haiku 4.5 $0.00011 $0.00210

Measured 5d ago against content hash e6b229f2f522, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

agent/src/skills/thesis-tracker/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Investment Thesis Tracker: Post-Buy Discipline

Track an investment thesis for a holding. First use on a company → build the thesis; later uses → quarterly check.

Supported input: company name (auto-decide build vs track); company build (force rebuild); company quarterly check (against latest earnings).

"Buying is only the beginning. The real work is continuous tracking through the holding period." — Li Lu

"When the facts change, I change my mind. What do you do, sir?" — Keynes

Design Philosophy

Most investors' process is: research → buy → pray. Without systematic post-buy tracking, they: refuse to sell when they should ("wait, it'll come back"); panic-sell when they shouldn't ("down 20%, was I wrong?"); forget why they bought ("why did I buy this again?").

Buffett and Li Lu write down sell conditions before buying, then check the thesis each quarter.

Step 1: Decide the Mode

Check whether a thesis file already exists (use read_file on reports/{company}-thesis.md): not found → Build (Mode A); found → Track (Mode B).


Mode A: Build the Investment Thesis

A0: Data Collection

Use web_search to get the current price, valuation (PE/PB/dividend yield), and latest financials. If a research report exists, read_file it first. Use financial_rigor (command=verify_valuation) to verify valuation, financial_rigor (command=verify_market_cap) to sanity-check market cap.

A1: Core Thesis (must be writable in ≤200 words)

The thesis must answer 5 questions, one sentence each:

I bought {Company} at {price} because:
1. The essence of this business is ___, and I understand how it makes money.
2. Its moat is ___, and it's widening / stable.
3. Management is ___, trustworthy because ___.
4. The current price is a {discount}% to intrinsic value; the margin of safety comes from ___.
5. Even if I'm wrong, downside is contained because ___.

If you can't fill 5 sentences, the thesis itself is flawed — the buy decision isn't clear enough.

Read the full file on GitHub · 161 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 · 161 lines · 109 tokens per session scan A e6b229f2f522

Subscribe to this mod's changes

thesis-tracker is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,017 stars, last pushed yesterday), licensed MIT. It adds 109 tokens to every session and 2,098 once invoked, about $0.0005 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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