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 agentmods add commands/jrpease/throughline/startgit clone --depth 1 https://github.com/jrpease/throughlineWhat 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 | $0.00000 | $0.00268 |
| Opus 5 | $0.00000 | $0.00134 |
| Sonnet 5 | $0.00000 | $0.00054 |
| Haiku 4.5 | $0.00000 | $0.00027 |
Grade A, and why
start 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 2d 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.
What it actually says
This is the first step for building a design system with ThroughLine. The user invoked it explicitly, so begin immediately — do not invoke any brainstorming or planning skill first. There is nothing to brainstorm until the environment exists: the local working folder must be created and Figma must be connected before any design work can happen.
Invoke the figma-environment-setup rule now and follow it exactly. It will:
- Locate or create the project directory and scan what's already there.
- Create the local working folder and write the
design-system.jsonmanifest. - Connect Cursor to Figma and verify the connection.
If design-system.json already exists in this folder, the setup skill will
detect it and route the user to the right next step rather than starting over —
let it make that call. That routing now covers brownfield systems too: an
existing/mature repo or populated Figma file is sent to design-system-audit
first, and an in-progress retrofit (retrofit.phase set) resumes at its phase
via retrofit-planner — the setup skill makes that call.
Scale all explanation to the user's coding level. Assume they may be design-fluent but new to developer tooling, terminals, and API tokens.
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.
- 2d ago First seen · 23 lines · 0 tokens per session scan A fc56ad105e6d
start is a command published in the GitHub repository jrpease/throughline (76 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 268 tokens. 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.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.