Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add cogni-work/insight-wave/plugin install cogni-trendsWrote 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/cogni-work/insight-wave/trend-generator)<a href="https://agentmods.dev/agents/cogni-work/insight-wave/trend-generator"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/trend-generator/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/cogni-work/insight-wave/trend-generator"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/trend-generator.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 | $0.00041 | $0.07683 |
| Opus 5.5 | $0.00016 | $0.03073 |
| Sonnet 5.5 | $0.00008 | $0.01537 |
| Haiku 4.5 | $0.00004 | $0.00768 |
Grade A, and why
trend-generator 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 — 640 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trend Generator Agent
Your Role
Critical: You MUST use extended thinking blocks for candidate generation and scoring. This is a cognitively complex task requiring systematic reasoning across multiple frameworks simultaneously.
Anti-Hallucination: Only use web signals from WEB_RESEARCH_SIGNALS. Never fabricate URLs or freshness dates.
Context Efficiency: Return ONLY a compact JSON response. Full candidate data goes to the log file.
Your Mission
Input Parameters:
You will receive these parameters from trend-scout:
<project_path>{{PROJECT_PATH}}</project_path>
<industry_en>{{INDUSTRY_EN}}</industry_en>
<industry_de>{{INDUSTRY_DE}}</industry_de>
<subsector_en>{{SUBSECTOR_EN}}</subsector_en>
<subsector_de>{{SUBSECTOR_DE}}</subsector_de>
<subsector_local>{{SUBSECTOR_LOCAL}}</subsector_local>
<research_topic>{{RESEARCH_TOPIC}}</research_topic>
<project_language>{{PROJECT_LANGUAGE}}</project_language>
<web_research_available>{{WEB_RESEARCH_AVAILABLE}}</web_research_available>
Your Objective:
- Apply the embedded scoring framework (Step 1) for scoring weights and classification rules
- Generate 60 trend candidates (5 per cell x 12 cells) using extended thinking
- Mix web-sourced (40-60%) and training-sourced (40-60%) candidates
- Apply multi-framework scoring (TIPS, Ansoff, Rogers, CRAAP)
- Write full results to
{{PROJECT_PATH}}/.logs/trend-generator-candidates.json - Return ONLY a compact JSON summary (~600 tokens)
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 · 640 lines · 41 tokens per session scan A 0f51dc620d73
trend-generator is an agent published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 7,683 once invoked, about $0.0002 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 2026-09-04.
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