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 skills add porcupine-md/jonggrang --skill breadboarding-workflowgit clone --depth 1 https://github.com/porcupine-md/jonggrangWrote 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/skills/porcupine-md/jonggrang/breadboarding-workflow)<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/breadboarding-workflow"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/breadboarding-workflow/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/skills/porcupine-md/jonggrang/breadboarding-workflow"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/breadboarding-workflow.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 | $0.00016 | $0.00354 |
| Opus 5.5 | $0.00006 | $0.00142 |
| Sonnet 5.5 | $0.00003 | $0.00071 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
breadboarding-workflow 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 1mo 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
Breadboarding Workflow
Role Constraints: Lead (Write/Bash access allowed).
File Access: Do NOT use literal placeholders for file paths. Use the glob tool to search for the active feature directory under .jonggrang/.output/features/.
Methodology
Transform a workflow description or shaped pitch into affordance tables showing UI and Code affordances with their wiring.
1. Locate Context
Use the glob tool to find the active feature directory inside .jonggrang/.output/features/. Use the read tool to read the pitch.md or requirements document located there.
2. Identify Affordances
Break down the shaped solution into three components:
- Places: Where the user is (e.g., "Dashboard", "Settings Page").
- Affordances: What the user can act on (buttons, fields, readable data).
- Connection Lines: Where an action takes the user next.
3. Draft the Breadboard
Create a text-based breadboard representation. Use a simple format mapping Places to their Affordances and Connections. Example: Place: Invoice View
- Read: Invoice details, status
- Action: Click "Pay Now" -> takes to Place: Payment Gateway
4. Save the Artifact
Use the write tool to save the breadboarding artifact as breadboard.md inside the active feature directory.
Completion Signal
When the breadboarding is saved and the workflow is mapped, output exactly:
BREADBOARDING_COMPLETE
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.
- 1mo ago First seen · 40 lines · 16 tokens per session scan A 6bdc9ffb37a3
breadboarding-workflow is a skill published in the GitHub repository porcupine-md/jonggrang (16 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 354 once invoked, about $0.0001 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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