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SKILL verified MIT Self-run

Trend Intel

skill-damionrashford-rivalsearch-plugin-trend-intel · by damionrashford

Track and analyze trends, breaking news, and market shifts. Measures velocity across web, social, news, GitHub, and academic signals. Produces news digests and trend trajectory reports. Use when tracking news, identifying trends, or monitoring developments.

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Install

$ agentstack add skill-damionrashford-rivalsearch-plugin-trend-intel

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
7mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Trend Intelligence

Analyze trends and news for: $ARGUMENTS

Follow these steps precisely using RivalSearchMCP tools. Report progress after each step.

Step 1: Breaking News Scan

Use news_aggregation twice to establish recency and trajectory:

  1. query: "$ARGUMENTS", maxresults: 15, timerange: "week"
  2. query: "$ARGUMENTS", maxresults: 15, timerange: "month"

Compare weekly to monthly volume. Is coverage accelerating, steady, or declining?

Step 2: Web Context

Use web_search twice for broader context:

  1. query: "$ARGUMENTS trends 2025 2026", numresults: 15, extractcontent: true
  2. query: "$ARGUMENTS emerging growth adoption", numresults: 10, extractcontent: true

Capture analysis from non-news sources (blogs, industry sites, company announcements).

Step 3: Social Signal Measurement

Use social_search twice to measure community momentum:

  1. query: "$ARGUMENTS", platforms: ["reddit", "hackernews", "producthunt", "devto", "medium"], maxresultsperplatform: 15, timefilter: "month"
  2. query: "$ARGUMENTS", platforms: ["reddit", "hackernews"], maxresultsperplatform: 15, timefilter: "year"

Compare recent (month) vs historical (year) volume. Note sentiment shifts, new voices, and debate intensity.

Step 4: Developer Adoption Signals

Use github_search twice:

  1. query: "$ARGUMENTS", sort: "stars", maxresults: 15, includereadme: true
  2. query: "$ARGUMENTS", sort: "updated", max_results: 15

Compare established projects (stars) vs active development (updated). Note star counts, contributor numbers, and issue activity.

Step 5: Academic Foundation

Use scientific_research:

  • operation: "academicsearch", query: "$ARGUMENTS", maxresults: 10, sources: ["semantic_scholar", "arxiv"]

Is there peer-reviewed research driving this trend? How recent are the publications?

Step 6: Deep Dives

For the 3 most insightful articles or reports found, use content_operations:

  • operation: "retrieve", url: , extraction_method: "markdown"
  • operation: "analyze", content: , analysistype: "general", extractkey_points: true, summarize: true

For the top 2-3 companies or projects driving this trend:

  • Use map_website with url: , mode: "research", maxpages: 5, maxdepth: 1

Step 7: Compile Trend Report

  1. Headlines — Top 3-5 stories in bullet form with one-line summaries
  2. Key Developments — Expanded coverage of the most significant stories (2-3 paragraphs each)
  3. Velocity Indicators — Table with metrics:

| Signal | Measurement | Direction | |--------|------------|-----------| | News frequency | X articles/week | Accelerating/Steady/Declining | | Social mentions | X threads/month | ... | | GitHub stars | Top repo: X stars | ... | | Academic papers | X papers in last year | ... |

  1. Community Pulse — What practitioners and the public are saying
  2. Maturity Assessment — Nascent / Emerging / Growing / Mainstream / Mature / Declining
  3. Key Players & Catalysts — Who and what is driving adoption
  4. Trajectory Projection — Bull case vs bear case with evidence
  5. What to Watch — Upcoming events, expected announcements, early signals to track
  6. Sources — All URLs consulted

Keep it concise but data-rich. Use clean markdown with inline citations [Source Name](URL).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.