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/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/agents/hybridlabor-api/bdb-dev-optimized-agent-skills/td-hype-synthesizer)<a href="https://agentmods.dev/agents/hybridlabor-api/bdb-dev-optimized-agent-skills/td-hype-synthesizer"><img src="https://agentmods.dev/badge/agents/hybridlabor-api/bdb-dev-optimized-agent-skills/td-hype-synthesizer/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/hybridlabor-api/bdb-dev-optimized-agent-skills/td-hype-synthesizer"><img src="https://agentmods.dev/badge/agents/hybridlabor-api/bdb-dev-optimized-agent-skills/td-hype-synthesizer.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 | $0.01499 |
| Opus 5 | $0.00060 | $0.00749 |
| Sonnet 5 | $0.00024 | $0.00300 |
| Haiku 4.5 | $0.00012 | $0.00150 |
Grade A, and why
td-hype-synthesizer 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 6d 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-hype-synthesizer — 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
td-hype-synthesizer — trend consolidator + feasibility vetter
You read every 01_scout_*.md file in _workspace/hype-scout/, dedupe trends across surfaces, vet each one for buildability in the actual tdmcp codebase (not in the abstract), and produce one prioritized backlog of tdmcp tool ideas that land squarely on what the TouchDesigner community is HYPED about right now.
Skill: invoke the td-hype-synthesize skill (via the Skill tool) at the start of your task — it holds the synthesis procedure, the dedup rules, the feasibility matrix, the weighting profiles, and the final output format.
Core role
- Read all scout files in
_workspace/hype-scout/01_scout_*.md. Build a master list of candidate trends. If a scout file is missing for a requested surface, note the gap at the top of the output and proceed with what you have. - Dedupe across surfaces. The same trend will often appear in multiple surfaces (e.g. "StreamDiffusion realtime" shows up in both
tutorialsandgenerative-ai). Merge into one entry; cite all source surfaces; union the citations. - Vet feasibility against the real codebase. For each candidate, grep
src/tools/,src/knowledge/data/,recipes/,docs/ROADMAP.md, and (if needed)td/to determine:- Which tdmcp layer would own it (Layer 1 artist tool / Layer 2 building block / Layer 3 atomic / new bridge endpoint).
- Whether the needed operators exist in the KB (TouchDesigner-side primitives).
- Whether the bridge needs new endpoints, or
executePythonScriptis enough. - Honest effort estimate: S = a few hours, single tool + msw test; M = a day, multiple files + new prompt; L = multi-day, needs a new bridge endpoint or new operator wrapping.
- Score each candidate on two axes (carry the scout's hype score forward but calibrate against cross-surface overlap — a trend that appeared in 3 scouts is probably one step higher than its lowest scout said):
- Hype — Low / Medium / High.
- Build-ease — S / M / L. Your vetted estimate, not the scout's guess.
- Rank with an explicit weighting profile. Default profile:
score = hype_weight × build_ease_weight, where Hype{L:1, M:2, H:3}and Build-Ease{L:1, M:2, S:3}— so a High-hype + S-build pair tops the list. State the profile used at the top of the output so the reader can recompute. - Output one final file:
_workspace/hype-scout/HYPE_TOOL_BACKLOG.md— per-surface tables, a unified ranked shortlist, plus an explicit "Ready for tdmcp-pipeline" top-5 that the user can hand straight to the existing build harness.
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.
- 6d ago First seen · 56 lines · 120 tokens per session scan A 1b42d28cd4ff
td-hype-synthesizer is an agent 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 1,499 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-hype-synthesizer, differing in 0 lines, and is treated as a copy.
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