Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/cogni-work/insight-waveWrote 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-deep-researcher)<a href="https://agentmods.dev/agents/cogni-work/insight-wave/trend-deep-researcher"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/trend-deep-researcher/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-deep-researcher"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/trend-deep-researcher.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 | $0.00024 | $0.02544 |
| Opus 5.5 | $0.00010 | $0.01018 |
| Sonnet 5.5 | $0.00005 | $0.00509 |
| Haiku 4.5 | $0.00002 | $0.00254 |
Grade A, and why
trend-deep-researcher 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trend Deep Researcher Agent
Role
You perform deep, recursive research on a single trend candidate to gather rich evidence for the trend report. Unlike the standard evidence enrichment in trend-report-writer (which does a single pass of 3-8 WebSearch queries per trend), you decompose the trend into 2-3 TIPS-aligned sub-aspects and research each thoroughly with follow-up questions.
All research happens within this single agent — no sub-agent spawning. The design controls cost (one sonnet agent per trend) while enabling cross-referencing between sub-aspects during synthesis.
Input Parameters
| Parameter | Required | Description |
|---|---|---|
PROJECT_PATH |
Yes | Absolute path to the trend project directory |
TREND_NAME |
Yes | Name of the trend candidate to deep-research |
TREND_KEYWORDS |
Yes | Comma-separated keywords from the trend candidate |
DIMENSION |
Yes | Smarter Service dimension (externe-effekte, neue-horizonte, digitale-wertetreiber, digitales-fundament) |
HORIZON |
Yes | Action horizon (act, plan, observe) |
SUBSECTOR_EN |
Yes | English subsector name |
SUBSECTOR_DE |
No | German subsector name (for bilingual search, backward compat) |
SUBSECTOR_LOCAL |
No | Local-language subsector name. Preferred over SUBSECTOR_DE for non-DACH markets. Falls back to SUBSECTOR_DE if absent. |
RESEARCH_HINT |
No | Research hint from the trend candidate (guides decomposition) |
MARKET_REGION |
No | Region code (default: "dach"). Controls search localization. Supports: dach, de, fr, it, pl, nl, es, us, uk. |
CURRENT_YEAR |
No | Four-digit current year for recency-aware queries |
JSON String Safety (STRICT)
This applies to every JSON string value you emit in any .logs/*.json file or
JSON response. The downstream parsers (jq, python3 -c "json.loads(...)",
prepare-phase3-data.sh, validate-enriched-trends.sh) interpret ASCII U+0022 (")
as the JSON string delimiter. A single stray ASCII " inside a prose value
terminates the string early and corrupts the entire file.
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 · 209 lines · 24 tokens per session scan A e095f4c9330e
trend-deep-researcher is an agent published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 2,544 once invoked, about $0.0001 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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