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/skills/cogni-work/insight-wave/trend-booklet)<a href="https://agentmods.dev/skills/cogni-work/insight-wave/trend-booklet"><img src="https://agentmods.dev/badge/skills/cogni-work/insight-wave/trend-booklet/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/skills/cogni-work/insight-wave/trend-booklet"><img src="https://agentmods.dev/badge/skills/cogni-work/insight-wave/trend-booklet.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 | $0.00206 | $0.04377 |
| Opus 5.5 | $0.00082 | $0.01751 |
| Sonnet 5.5 | $0.00041 | $0.00875 |
| Haiku 4.5 | $0.00021 | $0.00438 |
Grade A, and why
trend-booklet 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 — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trend Booklet
Produce the comprehensive TIPS catalog tips-trend-booklet.md — every trend-scout candidate, organized dimension → subcategory → horizon, with summary, citations, theme back-references, and keywords. Companion artefact to the curated investment-themes report from /trend-synthesis.
Purpose
Where /trend-synthesis produces a curated argument over a small set of investment themes, this skill produces the full reference catalog of all ~60 candidates so readers can see the complete landscape:
- Locate the research output (gate on manifest existing; warn on drift)
- Pick a density tier (compact / standard / exhaustive)
- Build the per-candidate index with theme back-references
- Format each dimension's entries via 4 parallel
cogni-trends:trend-booklet-formatteragents - Assemble the final booklet (
tips-trend-booklet.md) with an orphan appendix - Write the index sidecar (
tips-trend-booklet-index.json) for downstream tooling - Auto-recommend
/verify-trend-report(if claims not yet verified) or/trends-resume
No web research — evidence comes from enriched-trends-{dimension}.json produced by /trend-research.
Language Support
Full German and English support. Inherits language from the research manifest. The booklet uses booklet-specific section headings (BOOKLET_TITLE, DIMENSION_HEADER, etc.) defined in references/i18n/labels-en.md and references/i18n/labels-de.md.
Prerequisites
/trend-researchcompleted with.metadata/trend-research-output.jsonpresenttips-value-model.json(used to compute theme back-references; orphan candidates fall back to the appendix)- Downstream:
/verify-trend-report(operates ontips-trend-report.md, not the booklet directly, but worth recommending if the user has run/trend-synthesistoo)
Context Independence
Reads ALL state from disk. Context compaction is safe and recommended before starting. Phase 2 dispatches 4 parallel formatter agents that self-load per-dimension evidence; the orchestrator only handles the index, assembly, and metadata.
What ships with it
7 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.
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 Changed · -1 lines 1ce1147ddcbf
- 1mo ago First seen · 416 lines · 206 tokens per session scan A 2c553baa6bf1
trend-booklet is a skill published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 206 tokens to every session and 4,377 once invoked, about $0.0008 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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