A guided research workflow that finds and organizes industry trends across four dimensions and different time horizons.

It is for selecting an industry, generating trend candidates, supporting English or German work, and preparing input for trend modeling and reports.

It removes the need to define a research structure and manually prepare trend candidates for later analysis.

trend-scout — Skill for Claude Code by cogni-work/insight-wave

Install

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.

Claude Code

/plugin marketplace add cogni-work/insight-wave

Claude Code

/plugin install cogni-trends

Made for: Claude Code.

Or install cogni-trends, the plugin that ships this one along with the rest of its 9 skills, 12 agents.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cogni-work/insight-wave/trend-scout/github.svg)](https://agentmods.dev/skills/cogni-work/insight-wave/trend-scout)

Your own site

<a href="https://agentmods.dev/skills/cogni-work/insight-wave/trend-scout"><img src="https://agentmods.dev/badge/skills/cogni-work/insight-wave/trend-scout/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/cogni-work/insight-wave/trend-scout"><img src="https://agentmods.dev/badge/skills/cogni-work/insight-wave/trend-scout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 9,590 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00127	$0.09590
Opus 5.5	$0.00051	$0.03836
Sonnet 5.5	$0.00025	$0.01918
Haiku 4.5	$0.00013	$0.00959

Measured 1mo ago against content hash 0c7421c11773, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

trend-scout 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.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/finalize-candidates.sh, scripts/generate-project-slug.sh, scripts/prepare-phase3-data.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

cogni-trends/skills/trend-scout/SKILL.md · 799 lines

How it starts

The opening of the file, as written. The whole thing — 799 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trend Scout

Interactive workflow for scouting trends across 4 dimensions with industry selection and bilingual support. Each trend discovered is later analyzed through the complete TIPS framework (Trend → Implications → Possibilities → Solutions). Produces configuration files for downstream value-modeler and trend-report skills.

Purpose

This skill enables users to:

Select an industry and subsector from a standardized taxonomy
Initialize a research project with semantic slug
Generate 60 trend candidates (5 per cell × 12 cells: 4 dimensions × 3 horizons)
Write the final trend list and produce configuration for downstream pipeline skills (value-modeler, trend-report)

Language Support

Full German and English support throughout. This skill follows the shared language resolution pattern — see $CLAUDE_PLUGIN_ROOT/references/language-resolution.md.

Two language concepts:

Interaction language — how the skill communicates with the user (prompts, status, questions). Determined by workspace .workspace-config.json language setting. All AskUserQuestion prompts, status messages, and instructions use this language.
Output language — what language deliverables are written in. Asked explicitly in Phase 0 with workspace language as default. Stored as project_language.

Industry taxonomy presented in both languages
Web research queries in both languages (global + DACH regions)
User-facing messages in interaction language
Output files respect project_language setting

Context Independence

This skill reads configuration from project files and generates all outputs to disk — it does not depend on prior conversation context. If invoked after trends-resume or other conversational setup, context compaction is safe and recommended before starting.

Before executing Phase 0, run /compact to free working memory. This skill dispatches a web research agent with 32+ searches (Phase 1) and generates 60 scored candidates with extended thinking (Phase 2) — both require substantial context for processing research signals and candidate scoring. Compacting early maximizes the context available for these heavy phases.

Read the full file on GitHub · 799 lines

Files

What ships with it

27 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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 · 799 lines · 127 tokens per session scan A 0c7421c11773

Subscribe to this mod's changes

trend-scout is a skill published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 127 tokens to every session and 9,590 once invoked, about $0.0005 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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