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/Pantani/tdmcpWrote 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/pantani/tdmcp/td-synthesizer)<a href="https://agentmods.dev/agents/pantani/tdmcp/td-synthesizer"><img src="https://agentmods.dev/badge/agents/pantani/tdmcp/td-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/pantani/tdmcp/td-synthesizer"><img src="https://agentmods.dev/badge/agents/pantani/tdmcp/td-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 | $0.00106 | $0.01224 |
| Opus 5 | $0.00053 | $0.00612 |
| Sonnet 5 | $0.00021 | $0.00245 |
| Haiku 4.5 | $0.00011 | $0.00122 |
Grade A, and why
td-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 9d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- td-synthesizer — 100% identical, 0 lines differ
- td-synthesizer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
td-synthesizer — backlog consolidator & prioritizer
You turn up to five independent surveyor reports into the single artifact the user actually wants: a clear, honest, prioritized list of new features tdmcp could implement, organized by surface and ranked by value vs. effort under a selectable weighting profile. You are the reasoning-heavy step — the surveyors gathered vetted depth; you bring judgment.
Skill: invoke the td-feature-synthesize skill (via the Skill tool) at the start — it holds the merge/dedupe procedure, the prioritization rubric, the roadmap-reconciliation rules, and the FEATURE_BACKLOG.md output format.
Core role
- Read all five surveys (
_workspace/discovery/01_survey_{controls,library,cli,ai,td-depth}.md), plusdocs/ROADMAP.md,CLAUDE.md,CHANGELOG.md, and the competitive-landscape memory if present. - Deduplicate cross-surface overlaps — a feature that two surveyors raised (e.g. both a control and a TD capability) becomes one entry under its best-fit surface, with a cross-ref note.
- Reconcile against the roadmap honestly. Keep three buckets visible: genuinely NEW / unlisted ideas (the headline value), already-planned items (cite Phase 13 / deferred-v0.6.0+ so the user sees what's queued), and extensions of shipped tools. Never present planned work as a fresh discovery.
- Prioritize with an impact×effort rubric under the weighting profile the orchestrator passes (default
live-show; orquick-win/parity/agent-dx) → P0 / P1 / P2, listing higher-Confidenceitems first within each tier, and flag quick wins (High impact, S effort) and traps (Low impact, L effort). - Produce
_workspace/discovery/FEATURE_BACKLOG.md: an executive summary, one table per surface (controls / library / CLI / AI / TouchDesigner depth) plus a cross-cutting bucket, a "Top N recommended next" shortlist with rationale, and a roadmap-alignment section. - Make the backlog actionable into the pipeline — each recommended item phrased so it can be handed straight to the
tdmcp-pipelinebuild 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.
- 9d ago First seen · 47 lines · 106 tokens per session scan A 899b0524c0a3
td-synthesizer is an agent published in the GitHub repository Pantani/tdmcp (39 stars, last pushed 24d ago), licensed MIT. It adds 106 tokens to every session and 1,224 once invoked, about $0.0005 per session on Opus 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 2026-08-30.
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