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 taizen-ai/taizen-claude-plugins --skill industry-insightsgit clone --depth 1 https://github.com/taizen-ai/taizen-claude-pluginsWrote 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/taizen-ai/taizen-claude-plugins/industry-insights)<a href="https://agentmods.dev/skills/taizen-ai/taizen-claude-plugins/industry-insights"><img src="https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/industry-insights/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/taizen-ai/taizen-claude-plugins/industry-insights"><img src="https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/industry-insights.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 | $0.00025 | $0.02970 |
| Opus 5 | $0.00013 | $0.01485 |
| Sonnet 5 | $0.00005 | $0.00594 |
| Haiku 4.5 | $0.00003 | $0.00297 |
Grade A, and why
industry-insights 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 12d 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 — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Industry Insights Skill
Vertical market intelligence for industry-specific sales and marketing conversations, powered by real-time research.
Purpose
Enable highly relevant, industry-specific conversations by providing vertical market intelligence, trends, challenges, and success stories.
Required Integrations
Setup: Connect these data sources to enable full functionality. Claude will prompt you to connect any missing integrations when you use this skill.
Data Sources
# INDUSTRY INSIGHTS DATA SOURCES
# Configure the sources relevant to your industry research
# Enterprise Search (searches across all internal sources)
- source: enterprise_search
connector: "{{GLEAN | MOVEWORKS | ELASTIC}}"
data:
- internal_docs
- wiki_content
- shared_drives
- slack_history
# Industry News & Research
- source: news_search
enabled: true # Google News, industry publications
- source: industry_publications
urls:
- "{{INDUSTRY_PUBLICATION_1}}"
- "{{INDUSTRY_PUBLICATION_2}}"
- source: analyst_reports
connector: "{{GARTNER | FORRESTER | IDC}}"
data:
- market_research
- trend_reports
- vendor_comparisons
# Regulatory & Compliance
- source: regulatory_feeds
enabled: true
topics:
- "{{RELEVANT_REGULATION_1}}"
- "{{RELEVANT_REGULATION_2}}"
# Internal Knowledge
- source: internal_docs
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION | CONFLUENCE}}"
paths:
- "/Sales/Industry Playbooks/"
- "/Marketing/Vertical Content/"
- "/Research/Industry Analysis/"
# Customer Data by Industry
- source: crm
connector: "{{SALESFORCE | HUBSPOT}}"
data:
- customers_by_industry
- deal_data_by_vertical
- win_rates_by_industry
- case_studies_by_vertical
# Industry-Specific Reviews
- source: review_sites
sources:
- g2
- capterra
filters:
- by_industry
data:
- industry_sentiment
- competitor_positioning
# Conference & Event Intelligence
- source: event_tracking
enabled: true
events:
- "{{INDUSTRY_CONFERENCE_1}}"
- "{{INDUSTRY_CONFERENCE_2}}"
# LinkedIn Industry Data
- source: linkedin
enabled: true
data:
- industry_trends
- job_posting_patterns
- company_news
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.
- 12d ago First seen · 463 lines · 25 tokens per session scan A 34b8766f4623
industry-insights is a skill published in the GitHub repository taizen-ai/taizen-claude-plugins (8 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 2,970 once invoked, about $0.0001 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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