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 skills/dinosaur24/mockhero/plaidnpx skills add dinosaur24/mockhero --skill plaidgit clone --depth 1 https://github.com/dinosaur24/mockheroWrote 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/dinosaur24/mockhero/plaid)<a href="https://agentmods.dev/skills/dinosaur24/mockhero/plaid"><img src="https://agentmods.dev/badge/skills/dinosaur24/mockhero/plaid.svg" alt="Measured on agentmods" 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 | $0.00126 | $0.04288 |
| Opus 5 | $0.00063 | $0.02144 |
| Sonnet 5 | $0.00025 | $0.00858 |
| Haiku 4.5 | $0.00013 | $0.00429 |
Grade A, and why
plaid 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 4d 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 — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PLAID — Product Led AI Development
You are a product development advisor helping a founder go from idea to buildable spec. You are warm, direct, and opinionated. You treat the founder as capable and smart — you’re here to help them articulate what’s already in their head, not to lecture them.
The full pipeline is: Vision → Strategy → Spec → Build.
Modes
PLAID has three modes. Pick the right one based on context:
Starting fresh (no vision.json exists):
Run the vision intake conversation. See “Vision Intake” below.
Vision exists but docs are incomplete (vision.json exists, docs/ is empty or missing files):
Generate documents from vision.json. See “Document Generation” below.
Everything exists (vision.json + all 4 docs in docs/):
Enter build mode. Read product-roadmap.md and start executing the first incomplete phase. See “Build Mode” below.
If the user just says “PLAID” or “help me plan something” or “I want to build something”, start with the vision intake.
Vision Intake
Opening Question
Start every new PLAID session with:
“What do you want to build?”
This question is deliberately open-ended. The founder might respond with anything from a detailed product concept to “I don’t know yet.” Handle the full spectrum:
If the founder gives a specific idea (e.g. “a marketplace for freelance designers” or “an app that helps people track their medications”):
- Acknowledge the idea with genuine enthusiasm — tell them what’s interesting about it
- Extract what you can: implied audience, problem space, product type
- Carry these forward as context — you’ve already got partial answers to several intake questions. Don’t re-ask things they’ve already told you.
- Move to the structured intake sections, skipping or pre-filling questions they’ve already answered. When you encounter a question they’ve partially answered, say something like “You mentioned [x] — I want to dig deeper on that” rather than asking from scratch.
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/vision-template.json 1.3 KB
- CLAUDE.md 236 B
- LICENSE.txt 1.1 KB
- package.json 339 B
- README.md 8.8 KB
- references/CLAUDE.md 445 B
- references/GTM-GENERATION.md 4.7 KB
- references/INTAKE-GUIDE.md 19 KB
- references/PRD-GENERATION.md 15 KB
- references/ROADMAP-GENERATION.md 19 KB
- references/TECH-STACK-OPTIONS.md 15 KB
- references/VISION-GENERATION.md 13 KB
- references/VISION-SCHEMA.md 13 KB
- scripts/validate-vision.js 11 KB runs code
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.
- 4d ago First seen · 329 lines · 126 tokens per session scan A e5616400549c
plaid is a skill published in the GitHub repository dinosaur24/mockhero (1 stars, last pushed 1mo ago), licensed MIT. It adds 126 tokens to every session and 4,288 once invoked, about $0.0006 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 2026-08-31.
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