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 leecyno1/boutique-skills --skill anthropic-fs-equity-research-thesis-trackergit clone --depth 1 https://github.com/leecyno1/boutique-skillsWrote 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/leecyno1/boutique-skills/anthropic-fs-equity-research-thesis-tracker)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-thesis-tracker"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-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.
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-thesis-tracker"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-thesis-tracker.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00089 | $0.00622 |
| Opus 5 | $0.00044 | $0.00311 |
| Sonnet 5 | $0.00018 | $0.00124 |
| Haiku 4.5 | $0.00009 | $0.00062 |
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 9d 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.
This is a copy
100% identical to thesis-tracker — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thesis Tracker
Workflow
Step 1: Define or Load Thesis
If creating a new thesis:
- Company: Name and ticker
- Position: Long or Short
- Thesis statement: 1-2 sentence core thesis (e.g., "Long ACME — margin expansion from pricing power + operating leverage as mix shifts to software")
- Key pillars: 3-5 supporting arguments
- Key risks: 3-5 risks that would invalidate the thesis
- Catalysts: Upcoming events that could prove/disprove the thesis (earnings, product launches, regulatory decisions)
- Target price / valuation: What's it worth if the thesis plays out
- Stop-loss trigger: What would make you exit
If updating an existing thesis, ask the user for the new data point or development.
Step 2: Update Log
For each new data point or development:
- Date: When this happened
- Data point: What changed (earnings beat, management departure, competitor move, etc.)
- Thesis impact: Does this strengthen, weaken, or neutralize a specific pillar?
- Action: No change / Increase position / Trim / Exit
- Updated conviction: High / Medium / Low
Step 3: Thesis Scorecard
Maintain a running scorecard:
| Pillar | Original Expectation | Current Status | Trend |
|---|---|---|---|
| Revenue growth >20% | On track | Q3 was 22% | Stable |
| Margin expansion | Behind | Margins flat YoY | Concerning |
| New product launch | Pending | Delayed to Q2 | Watch |
Step 4: Catalyst Calendar
Track upcoming catalysts:
| Date | Event | Expected Impact | Notes |
|---|---|---|---|
Step 5: Output
Thesis summary suitable for:
- Morning meeting discussion
- Portfolio review
- Risk committee presentation
Format: Concise markdown or Word doc with the scorecard, recent updates, and current conviction level.
Important Notes
- A thesis should be falsifiable — if nothing could disprove it, it's not a thesis
- Track disconfirming evidence as rigorously as confirming evidence
- Review theses at least quarterly, even when nothing dramatic has happened
- If the user manages multiple positions, offer to do a full portfolio thesis review
- Store thesis data in a structured format so it can be referenced across sessions
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.
- 9d ago First seen · 68 lines · 89 tokens per session scan A 6b4ce2967c5e
thesis-tracker is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 89 tokens to every session and 622 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to thesis-tracker, differing in 0 lines, and is treated as a copy.
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