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 johnqtcg/awesome-skills --skill stock-industry-reviewgit clone --depth 1 https://github.com/johnqtcg/awesome-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/johnqtcg/awesome-skills/stock-industry-review)<a href="https://agentmods.dev/skills/johnqtcg/awesome-skills/stock-industry-review"><img src="https://agentmods.dev/badge/skills/johnqtcg/awesome-skills/stock-industry-review/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/johnqtcg/awesome-skills/stock-industry-review"><img src="https://agentmods.dev/badge/skills/johnqtcg/awesome-skills/stock-industry-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00147 | $0.02720 |
| Opus 5.5 | $0.00059 | $0.01088 |
| Sonnet 5.5 | $0.00029 | $0.00544 |
| Haiku 4.5 | $0.00015 | $0.00272 |
Grade A, and why
stock-industry-review 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Industry Review
Purpose
Read 10-K "Competition" sections, MD&A market commentary, and external industry-size data with the eye of a strategy analyst. The financial statements tell you what the company did; this skill tells you what the industry will let it keep doing. Surface moat type and durability, market-share trajectory relative to industry, pricing power evidence, and structural threats. Output Findings that the orchestrator uses to model Bull/Base/Bear scenarios — moat strength caps the multiple expansion, and competitive pressure determines margin sustainability.
When To Use
- Orchestrator dispatches industry review — a Tier-0 core worker, always-on at all depths; Lite runs the lighter moat-type + share-trend pass only, no full Porter scan. See
stock-analysis-lead/references/dispatch-protocol.mdPart 1. - User asks "what's the moat", "is losing share", "who are the competitors", "what's the TAM".
When NOT To Use
- Business model classification →
stock-business-review - Margin trends →
stock-earnings-quality-review - Management quality →
stock-management-review
Mandatory Gates
1) Execution Integrity Gate
Read 10-K Item 1 "Competition" section AND at least one external source (analyst report, industry association, or comparable peer's 10-K) for triangulation. The company's own description of competition is self-serving.
2) Quantification Gate
"Strong competitive position" is not a Finding. Quantify: market share %, share trend, TAM $, growth rate. If you cannot quantify, suppress.
3) Moat-Type Gate
Generic "competitive advantages" is not a moat. Classify into one of seven types: network effects, brand, scale-cost advantage, switching cost, patent/IP, regulatory, proprietary data. If you cannot fit it into a named type, flag "no identifiable moat".
4) Cyclicality Gate
Pricing-power evidence in a bull market is not pricing power. Look for margin stability across a downturn (2020 or 2022 depending on sector).
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 201 lines · 147 tokens per session scan A 5d68cd3f762a
stock-industry-review is a skill published in the GitHub repository johnqtcg/awesome-skills (30 stars, last pushed 18d ago), licensed MIT. It adds 147 tokens to every session and 2,720 once invoked, about $0.0006 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 2026-08-30.
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pitch-narrator
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price-alert
Fire when the tracked token does something - new ATH, sharp 1h move, or operator-set target crossed. Silent on normal days.
unlock-monitor
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picks-tracker
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