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 daringanitch/claude-stock-analyst --skill stock-moatgit clone --depth 1 https://github.com/daringanitch/claude-stock-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/daringanitch/claude-stock-analyst/stock-moat)<a href="https://agentmods.dev/skills/daringanitch/claude-stock-analyst/stock-moat"><img src="https://agentmods.dev/badge/skills/daringanitch/claude-stock-analyst/stock-moat/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/daringanitch/claude-stock-analyst/stock-moat"><img src="https://agentmods.dev/badge/skills/daringanitch/claude-stock-analyst/stock-moat.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 | $0.00037 | $0.00217 |
| Opus 5 | $0.00018 | $0.00109 |
| Sonnet 5 | $0.00007 | $0.00043 |
| Haiku 4.5 | $0.00004 | $0.00022 |
Grade A, and why
stock-moat 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 11d 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
Deep moat analysis using the Morningstar 5-source framework:
- COST ADVANTAGE — can they produce cheaper than competitors? Sustainable?
- SWITCHING COSTS — what does it cost a customer to leave? Cite evidence (churn rates, contract lengths)
- NETWORK EFFECTS — does the product get better as more people use it? Direct or indirect?
- INTANGIBLE ASSETS — patents, brands, licenses, regulatory approvals
- EFFICIENT SCALE — do they operate in a market where a second competitor can't earn returns?
Then: who is the most credible threat to each source of moat and what's their progress?
Moat rating: Wide / Narrow / None Time horizon of moat: 5yr / 10yr / 20yr+
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.
- 11d ago First seen · 18 lines · 37 tokens per session scan A 5810d01d4387
stock-moat is a skill published in the GitHub repository daringanitch/claude-stock-analyst (9 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 217 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 2026-08-31.
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