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/jrpease/throughlineWrote 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/rules/jrpease/throughline/token-builder)<a href="https://agentmods.dev/rules/jrpease/throughline/token-builder"><img src="https://agentmods.dev/badge/rules/jrpease/throughline/token-builder/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/rules/jrpease/throughline/token-builder"><img src="https://agentmods.dev/badge/rules/jrpease/throughline/token-builder.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 | $0.07546 |
| Opus 5.5 | $0.00042 | $0.03018 |
| Sonnet 5.5 | $0.00021 | $0.01509 |
| Haiku 4.5 | $0.00011 | $0.00755 |
Grade A, and why
token-builder 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 11d 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 — 489 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Token builder
Critical collection rule: this system uses one collection per category per tier — never one giant
Primitives+ one giantSemantic. Color, spacing, typography, radius, and border each get their own primitive collection and their own semantic collection. This is non-negotiable: modes (Light/Dark, Desktop/Mobile) belong to a collection, so mixing categories in one collection forces unrelated variables to share the same mode axis.
Model tip (#3): building a coherent token system (ramps, type scale, modes, primitive→semantic aliasing) is reasoning-heavy. It runs on your session model — Sonnet is a solid default; Opus helps for large or multi-mode systems. See the model guide in the ThroughLine README.
Creates a two-tier design token system as Figma variables. Each tier is split
into one collection per category (color, spacing, type, radius, border) so
every category owns its own modes — see Step 1 for why. Within a collection,
Figma variables are grouped with / and omit the category prefix (the
collection already carries it); the sync layer later derives the dotted logical
name (color.gray.50) by prefixing the collection's category.
- Primitives — raw values with no meaning attached:
gray/50,space/4in their category's primitive collection. The full palette of possible values. - Semantic — meaning-bearing tokens that alias onto primitives:
bg/default→{gray/50},text/primary→{gray/900}. This is the layer the rest of the system consumes.
The power of two tiers: change a primitive once and every semantic token referencing it updates automatically, which cascades through sheets, components, and synced code. Preserving these aliases (not flattening them) is what makes runtime theming work later, so always create semantic tokens as references to primitives, never as copied literal values.
Prerequisites
This skill needs a live Figma connection. Read the manifest
(.throughline/references/manifest-schema.md for the schema) and check figma.connected.
Then do a cheap liveness read to confirm the connection is actually live right
now. If it isn't, say so plainly and offer to run the figma-environment-setup
skill first: "Figma isn't connected yet — want me to set that up? It's a
one-time thing." Don't proceed until Figma is reachable.
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.
- 11d ago Changed f5b487851dcd
- 18d ago Changed ecc003665e3f
- 19d ago Changed · +4 lines dcd638ee529d
- 1mo ago Changed · +103 lines ad3f06889b71
- 1mo ago First seen · 382 lines · 106 tokens per session scan A a94bb9f6a9e8
token-builder is a cursor rule published in the GitHub repository jrpease/throughline (78 stars, last pushed 3d ago), licensed MIT. It adds 106 tokens to every session and 7,546 once invoked, about $0.0004 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 2026-08-30.
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