Install
$ agentstack add skill-damionrashford-rivalsearch-plugin-trend-intel ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →About
Trend Intelligence
Analyze trends and news for: $ARGUMENTS
Follow these steps precisely using RivalSearchMCP tools. Report progress after each step.
Step 1: Breaking News Scan
Use news_aggregation twice to establish recency and trajectory:
- query: "$ARGUMENTS", maxresults: 15, timerange: "week"
- query: "$ARGUMENTS", maxresults: 15, timerange: "month"
Compare weekly to monthly volume. Is coverage accelerating, steady, or declining?
Step 2: Web Context
Use web_search twice for broader context:
- query: "$ARGUMENTS trends 2025 2026", numresults: 15, extractcontent: true
- query: "$ARGUMENTS emerging growth adoption", numresults: 10, extractcontent: true
Capture analysis from non-news sources (blogs, industry sites, company announcements).
Step 3: Social Signal Measurement
Use social_search twice to measure community momentum:
- query: "$ARGUMENTS", platforms: ["reddit", "hackernews", "producthunt", "devto", "medium"], maxresultsperplatform: 15, timefilter: "month"
- query: "$ARGUMENTS", platforms: ["reddit", "hackernews"], maxresultsperplatform: 15, timefilter: "year"
Compare recent (month) vs historical (year) volume. Note sentiment shifts, new voices, and debate intensity.
Step 4: Developer Adoption Signals
Use github_search twice:
- query: "$ARGUMENTS", sort: "stars", maxresults: 15, includereadme: true
- 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_websitewith url: , mode: "research", maxpages: 5, maxdepth: 1
Step 7: Compile Trend Report
- Headlines — Top 3-5 stories in bullet form with one-line summaries
- Key Developments — Expanded coverage of the most significant stories (2-3 paragraphs each)
- 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 | ... |
- Community Pulse — What practitioners and the public are saying
- Maturity Assessment — Nascent / Emerging / Growing / Mainstream / Mature / Declining
- Key Players & Catalysts — Who and what is driving adoption
- Trajectory Projection — Bull case vs bear case with evidence
- What to Watch — Upcoming events, expected announcements, early signals to track
- 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.
- Author: damionrashford
- Source: damionrashford/RivalSearch-Plugin
- License: MIT
- Homepage: https://github.com/damionrashford/RivalSearchMCP
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.