td-feature-qa

td-feature-qa is a skill for Claude Code, Codex from Pantani/tdmcp. It costs 105 tokens per session (1,082 once invoked), scanned A, original, MIT.

A quality-checking workflow for features built with TouchDesigner, a visual tool for creating interactive graphics. It checks the code, command-line interface, documentation, tool registry, tests, and the live TouchDesigner result.

In plain words
What is it for?
Use it to run project checks, recipe and bridge tests, compare tool inputs with CLI commands and documentation, and verify live TouchDesigner previews when the connection is available.
Why use it?
A feature can appear to work while producing errors or a blank image after TouchDesigner processes it. This workflow checks that connected parts agree and that the final result is valid.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to run project checks, recipe and bridge tests, compare tool inputs with CLI commands and documentation, and verify live TouchDesigner previews when the connection is available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pantani/tdmcp/td-feature-qa
Install

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.

Any agent
npx skills add Pantani/tdmcp --skill td-feature-qa
Clone the repo
git clone --depth 1 https://github.com/Pantani/tdmcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for td-feature-qa

README.md
[![agentmods](https://agentmods.dev/badge/skills/pantani/tdmcp/td-feature-qa/github.svg)](https://agentmods.dev/skills/pantani/tdmcp/td-feature-qa)
Your own site
<a href="https://agentmods.dev/skills/pantani/tdmcp/td-feature-qa"><img src="https://agentmods.dev/badge/skills/pantani/tdmcp/td-feature-qa/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.

agentmods 80×15 button for td-feature-qa

Your own site · 80×15
<a href="https://agentmods.dev/skills/pantani/tdmcp/td-feature-qa"><img src="https://agentmods.dev/badge/skills/pantani/tdmcp/td-feature-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,082 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.01082
Opus 5 $0.00053 $0.00541
Sonnet 5 $0.00021 $0.00216
Haiku 4.5 $0.00011 $0.00108

Measured 10d ago against content hash 081b0c6980fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

td-feature-qa 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 10d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.agents/skills/td-feature-qa/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

td-feature-qa — verify it works, not just exists

Most defects here live at boundaries, and a tool that returns success can still cook to errors or a black frame. So: read both sides of every boundary together, and check errors after the network cooks, not just the create_* return flag. Run incrementally — validate each feature as it lands so an early boundary bug doesn't propagate.

Gates + suites — always run (offline, no TD needed)

  • npm run typecheck · npm run build · npm test
  • biome via ./node_modules/.bin/biome check . (NOT npm run lint — RTK proxy gives a false ESLint parse error)
  • npm run validate:recipes · npm run test:bridge (python3 -m unittest discover -s td/tests)

Cross-boundary checks — open both sides

Boundary Left (producer) Right (consumer) Compare
Tool ↔ CLI tool's Zod inputSchema command in src/cli/agent.ts every param reachable from CLI; types/defaults align; name maps to the right handler
Tool ↔ registry register… export layer*/index.ts + tools/index.ts actually registered + aggregated, not just written
Tool ↔ docs live registry generated docs/reference/tools.md regenerates and includes the new tool
…Impl ↔ test real return / isError shape msw test assertions test exercises the actual shape, not a cast-away generic
Code ↔ TD operator types created what this build can create optype exists + is createable (dir(td) suffix-match over-counts; ~22 names not createable; KB lags ~14 ops)
Bridge ↔ client td/ endpoint/payload touchDesignerClient.ts + validators.ts envelope response shape matches the Zod validator

Live TD validation — when the bridge is up

Policy: offline gates always; live when available. Call get_td_info first.

  • Bridge up: build the feature through the agent CLI against the live bridge, capture get_preview, and check get_td_node_errors after it cooks.
  • Bridge offline: run offline gates, mark live validation UNVERIFIED — pending bridge in the report. Do not fail the pipeline for a missing TD.

Read the full file on GitHub · 51 lines

Changes

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.

  1. 10d ago First seen · 51 lines · 105 tokens per session scan A 081b0c6980fa

Subscribe to this mod's changes

td-feature-qa is a skill published in the GitHub repository Pantani/tdmcp (39 stars, last pushed 25d ago), licensed MIT. It adds 105 tokens to every session and 1,082 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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