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/user-flownpx skills add gowtham012/Claude-plugins --skill user-flowgit clone --depth 1 https://github.com/gowtham012/Claude-pluginsWhat 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 | $0.00048 | $0.00274 |
| Opus 5 | $0.00024 | $0.00137 |
| Sonnet 5 | $0.00010 | $0.00055 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
user-flow 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
Generate user flow from video: $ARGUMENTS
Steps
- Call MCP tool
mcp__video-insight__user_flowwithvideo_path=$0. - Read keyframe image for each step.
- Use
step.labelas the step title,text_appearedfor new visible elements,narrationfor spoken context. - Generate a numbered markdown flow:
## User Flow: <filename>
**Step 1 — Start / Landing** (0s)
[keyframe]
User sees: Dashboard, Analytics, Layers, Wallet
**Step 2 — Navigate → Products** (3.2s)
[keyframe]
User navigates. New elements: Product Catalog, $29/mo
**Step 3 — Interact: Add to Cart** (8.5s)
[keyframe]
User clicks. New element: Cart (1)
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 · 33 lines · 48 tokens per session scan A c9393fc52c07
user-flow is a skill published in the GitHub repository gowtham012/Claude-plugins (5 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 274 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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