A tool for judging how well a company can defend its market position against competitors. It examines cost advantages, customer switching costs, network effects, brands and patents, licenses, regulation, and market structure.

Use it to assess a stock’s competitive moat and rate it as wide, narrow, or absent. It helps identify the most credible threat to each advantage and track how that threat is progressing.

A company may look successful without having a lasting advantage. This review separates temporary strengths from advantages that could protect profits over five, ten, or twenty years.

stock-moat — Skill for Claude Code and Codex by daringanitch

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 daringanitch/claude-stock-analyst --skill stock-moat

Clone the repo

git clone --depth 1 https://github.com/daringanitch/claude-stock-analyst

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/daringanitch/claude-stock-analyst/stock-moat/github.svg)](https://agentmods.dev/skills/daringanitch/claude-stock-analyst/stock-moat)

Your own site

<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.

Your own site · 80×15

<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>

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 217 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00037	$0.00217
Opus 5.5	$0.00015	$0.00087
Sonnet 5.5	$0.00007	$0.00043
Haiku 4.5	$0.00004	$0.00022

Measured 2mo ago against content hash 5810d01d4387, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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/stock-moat/SKILL.md · 18 lines

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+

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.

2mo ago First seen · 18 lines · 37 tokens per session scan A 5810d01d4387

Subscribe to this mod's changes

stock-moat is a skill published in the GitHub repository daringanitch/claude-stock-analyst (9 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 217 once invoked, about $0.0001 per session on Opus 5.5. 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.

Claude Code Finance and fintech ai claude equity-research investing

stock-moat next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
stock-moatdaringanitch/claude-stock-analyst	Skill	9	3mo ago	MIT	A	37	Claude Code, Codex
equity-researchrollingSirius/equity-research-skill	Skill	472	2mo ago	MIT	A	452	Claude Code, Codex
serenity-chokepoint-investingleospark/serenity-chokepoint-investing-skills	Skill	11	5mo ago	MIT	A	57	Claude Code, Codex
grayscale-crypto-sectorsquestflowai/investorskills	Skill	1.9k	2mo ago	MIT	A	56	Claude Code, Codex
ansem-cryptoquestflowai/investorskills	Skill	1.9k	2mo ago	MIT	A	41	Claude Code, Codex
buffettquestflowai/investorskills	Skill	1.9k	2mo ago	MIT	A	32	Claude Code, Codex
darvas-boxquestflowai/investorskills	Skill	1.9k	2mo ago	MIT	A	31	Claude Code, Codex