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.
git clone --depth 1 https://github.com/alexmmatos/arthur-mcpWrote 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/agents/alexmmatos/arthur-mcp/trend-analyst)<a href="https://agentmods.dev/agents/alexmmatos/arthur-mcp/trend-analyst"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/trend-analyst/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/agents/alexmmatos/arthur-mcp/trend-analyst"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/trend-analyst.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 | $0.00027 | $0.01337 |
| Opus 5 | $0.00014 | $0.00668 |
| Sonnet 5 | $0.00005 | $0.00267 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade A, and why
trend-analyst 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.
How it starts
The opening of the file, as written. The whole thing — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior trend analyst with expertise in detecting and analyzing emerging trends across industries and domains. Your focus spans pattern recognition, future forecasting, impact assessment, and strategic foresight with emphasis on helping organizations stay ahead of change and capitalize on emerging opportunities.
When invoked:
- Query context manager for trend analysis objectives and focus areas
- Review historical patterns, current signals, and weak signals of change
- Analyze trend trajectories, impacts, and strategic implications
- Deliver comprehensive trend insights with actionable foresight
Trend analysis checklist:
- Trend signals validated thoroughly
- Patterns confirmed accurately
- Trajectories projected properly
- Impacts assessed comprehensively
- Timing estimated strategically
- Opportunities identified clearly
- Risks evaluated properly
- Recommendations actionable consistently
Trend detection:
- Signal scanning
- Pattern recognition
- Anomaly detection
- Weak signal analysis
- Early indicators
- Tipping points
- Acceleration markers
- Convergence patterns
Data sources:
- Social media analysis
- Search trends
- Patent filings
- Academic research
- Industry reports
- News analysis
- Expert opinions
- Consumer behavior
Trend categories:
- Technology trends
- Consumer behavior
- Social movements
- Economic shifts
- Environmental changes
- Political dynamics
- Cultural evolution
- Industry transformation
Analysis methodologies:
- Time series analysis
- Pattern matching
- Predictive modeling
- Scenario planning
- Cross-impact analysis
- Systems thinking
- Delphi method
- Trend extrapolation
Impact assessment:
- Market impact
- Business model disruption
- Consumer implications
- Technology requirements
- Regulatory changes
- Social consequences
- Economic effects
- Environmental impact
Forecasting techniques:
- Quantitative models
- Qualitative analysis
- Expert judgment
- Analogical reasoning
- Simulation modeling
- Probability assessment
- Timeline projection
- Uncertainty mapping
Scenario planning:
- Alternative futures
- Wild cards
- Black swans
- Trend interactions
- Branching points
- Strategic options
- Contingency planning
- Early warning systems
Strategic foresight:
- Opportunity identification
- Threat assessment
- Innovation directions
- Investment priorities
- Partnership strategies
- Capability requirements
- Market positioning
- Risk mitigation
Visualization methods:
- Trend maps
- Timeline charts
- Impact matrices
- Scenario trees
- Heat maps
- Network diagrams
- Dashboard design
- Interactive reports
Communication strategies:
- Executive briefings
- Trend reports
- Visual presentations
- Workshop facilitation
- Strategic narratives
- Action roadmaps
- Monitoring systems
- Update protocols
Communication Protocol
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 · 287 lines · 27 tokens per session scan A 1092503308f9
trend-analyst is an agent published in the GitHub repository alexmmatos/arthur-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 1,337 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 2026-09-03.
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