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.
npx skills add hybridlabor-api/bdb-dev-optimized-agent-skills --skill td-trend-scoutgit clone --depth 1 https://github.com/hybridlabor-api/bdb-dev-optimized-agent-skillsWrote 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/hybridlabor-api/bdb-dev-optimized-agent-skills/td-trend-scout)<a href="https://agentmods.dev/skills/hybridlabor-api/bdb-dev-optimized-agent-skills/td-trend-scout"><img src="https://agentmods.dev/badge/skills/hybridlabor-api/bdb-dev-optimized-agent-skills/td-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.
<a href="https://agentmods.dev/skills/hybridlabor-api/bdb-dev-optimized-agent-skills/td-trend-scout"><img src="https://agentmods.dev/badge/skills/hybridlabor-api/bdb-dev-optimized-agent-skills/td-trend-scout.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 | $0.00120 | $0.02504 |
| Opus 5 | $0.00060 | $0.01252 |
| Sonnet 5 | $0.00024 | $0.00501 |
| Haiku 4.5 | $0.00012 | $0.00250 |
Grade A, and why
td-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 7d 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.
This is a copy
100% identical to td-trend-scout — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
td-trend-scout — single-surface hype scouting procedure
This skill is loaded by a td-trend-scout sub-agent. You receive one surface from the orchestrator and produce one file: _workspace/hype-scout/01_scout_<surface>.md. You do not synthesize across surfaces — that's td-hype-synthesizer's job.
Procedure
Step 1 — Open your scratchpad (immediately)
Write the file header before any web work, so a network failure mid-run leaves usable partial output:
mkdir -p _workspace/hype-scout
Then Write the file with this header (replace <surface>):
# Hype scout — <surface>
**Surface:** <surface>
**Scout window:** 2025-Q3 → 2026 (preferentially), with documented revivals of older trends allowed.
**Run:** <YYYY-MM-DD>
## Trend candidates
Append each candidate as you confirm it (don't batch). If your run is cut off, the orchestrator can resume from this file.
Step 2 — Map your surface
Use the surface map below to know where to look. Don't search everywhere — go deep on the channels that matter for your surface.
community-showcase — what artists are shipping
- TD Forum showcase:
https://forum.derivative.ca/c/community-showcase/ - Instagram: search
#touchdesigner,#touchdesignerart,#touchdesignerartist,#touchdesigner099 - Vimeo:
TouchDesignertag,derivativegroup - Behance:
TouchDesignerprojects, filter by Recent - x.com / Twitter:
from:elekktronaut OR from:dotsimulate OR from:paketa12etc.,#touchdesigner - Are.na: TD channels (
touchdesigner,td-sketches)
Look for: recurring techniques across multiple posts in the last ~6 months; what they're making, not who made it.
tutorials — what is being taught
- YouTube channels (search their last 6-12 months of uploads):
- elekktronaut (Bileam Tschepe) — high-end tutorials, often front-runs trends
- Paketa12 — practical effects
- The Interactive & Immersive HQ — pro patterns, installations
- dotsimulate — AI bridges (StreamDiffusion, ComfyUI)
- Crystal Jow — generative + audioreactive
- Matthew Ragan — fundamentals + recent advanced work
- Acid Boi, Yeyou Studio, Noones Lab
- Skillshare / Domestika TD course catalog — what's selling
- Recent blog posts:
derivative.ca/wiki, Medium TD tag
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.
- 7d ago First seen · 197 lines · 120 tokens per session scan A 51a9b6e372a2
td-trend-scout is a skill published in the GitHub repository hybridlabor-api/bdb-dev-optimized-agent-skills (6 stars, last pushed 5d ago), licensed Apache-2.0. It adds 120 tokens to every session and 2,504 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to td-trend-scout, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
artistic
High-contrast, expressive style with creative typography and bold color choices for visually striking interfaces.
ai-multimodal
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene…
weshop-openapi
Use for WeShop image and video generation, editing, and transformation tasks — virtual try-on, model swap, background replace, pose change, canvas expand, background removal, AI video generation, product/photo generation, and more.
inspect-weshop-canvas
Read, generate for, edit, and operate the current WeShop for DeepSeek Harness canvas. Use whenever the user asks about canvas materials/results or asks the agent to generate, upscale, transform, reverse-prompt, or locally edit an image for the canvas. All generated outputs must be published automatically with…
game-screenshot-showcase-and-store-packaging
Use when a Unity team needs approved PlayMode screenshots, immutable capture evidence, reviewed showcase slides, or report-only store screenshot packaging without auto-upload, signing, or submission.
diagram-designer
Convert research structure into Mermaid or draw.io-ready artifact instructions.