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/gowtham012/claude-plugins/generate-prdnpx skills add gowtham012/Claude-plugins --skill generate-prdgit clone --depth 1 https://github.com/gowtham012/Claude-pluginsWrote 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/gowtham012/claude-plugins/generate-prd)<a href="https://agentmods.dev/skills/gowtham012/claude-plugins/generate-prd"><img src="https://agentmods.dev/badge/skills/gowtham012/claude-plugins/generate-prd.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 | $0.00035 | $0.00258 |
| Opus 5 | $0.00017 | $0.00129 |
| Sonnet 5 | $0.00007 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
generate-prd 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.
What it actually says
Generate PRD from video: $ARGUMENTS
Steps
- Call MCP tool
mcp__video-insight__generate_prdwithvideo_path=$0. - Read all keyframe images in order.
- Write a full PRD:
# PRD: <product name inferred from video>
## Overview
One paragraph describing what the product does.
## Goals
- User problems solved / Key success metrics visible in UI
## User Stories
- As a [user], I want to [action] so that [outcome]
## Functional Requirements
Numbered list of features with acceptance criteria.
## UI Specifications
Per-screen: Screen name / Components / Key interactions
## Non-Functional Requirements
- Performance indicators (load states, animations)
- Accessibility signals (labels, contrast)
## Open Questions
Things that couldn't be determined from the video alone.
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 · 42 lines · 35 tokens per session scan A 700837c30759
generate-prd is a skill published in the GitHub repository gowtham012/Claude-plugins (5 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 258 once invoked, about $0.0002 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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