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 Eliyce/paqad-ai --skill user-flow-generationgit clone --depth 1 https://github.com/Eliyce/paqad-aiWrote 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/eliyce/paqad-ai/user-flow-generation)<a href="https://agentmods.dev/skills/eliyce/paqad-ai/user-flow-generation"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/user-flow-generation/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/eliyce/paqad-ai/user-flow-generation"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/user-flow-generation.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 | $0.00014 | $0.00524 |
| Opus 5 | $0.00007 | $0.00262 |
| Sonnet 5 | $0.00003 | $0.00105 |
| Haiku 4.5 | $0.00001 | $0.00052 |
Grade A, and why
user-flow-generation 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 8d 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
What It Does
Generates or updates user flow documentation for UI-facing work so primary, alternate, and failure paths are explicit for design, engineering, QA, and docs maintenance.
Use This When
Use this when the request changes a screen, component, or major interaction path and the canonical flow docs need to describe the resulting user journey clearly.
Inputs
- Read the request, current user-flow docs, and relevant UI docs first.
- Read
references/user-flow-sections.mdbefore writing or revising a flow. - Read the current state inventory and heuristic notes if they exist.
Procedure
- Define Actor / Entry / Success up top per
assets/output.template.md. - Write the Primary Flow as an ordered, user-observable list — defer implementation steps to technical docs.
- Walk
assets/branch-categories.txt(Empty, Loading, Error, Permission, Retry, Blocked); add a sub-flow only when the change touches that branch. - Keep names consistent with the glossary and screen docs.
- Validate with
scripts/lint-output.sh.
Output Contract
- Return sections named
Primary Flow,Alternate Paths, andFlow Gaps. - List each flow step as an ordered item written from the user or system perspective.
- If the flow is fully documented, write
Flow Gaps: none.
Escalate / Stop Conditions
- Ask when the actor, entry point, or success condition is not defined clearly enough to map the journey.
- Warn when the requested UI behavior conflicts with existing flow docs or state definitions.
- Do not turn technical implementation steps into user-flow steps.
Resources
references/user-flow-sections.mdscripts/lint-output.shassets/output.template.mdassets/branch-categories.txtruntime/capabilities/coding/checklists/edge-cases-coding.mdagents/openai.yaml
What ships with it
5 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.
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.
- 8d ago First seen · 68 lines · 14 tokens per session scan A 80cdd59a341d
user-flow-generation is a skill published in the GitHub repository Eliyce/paqad-ai (8 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 524 once invoked, about $0.0001 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 2026-09-03.
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