design-flow

design-flow is a skill for Claude Code, Codex from viknesh20-20/claude-code-tool-kit. It costs 49 tokens per session (1,465 once invoked), scanned A, original, MIT.

A review of the software packages a project depends on. It checks for known security flaws, old or unused packages, and license issues across ecosystems such as npm, Python, Go, and Rust.

In plain words
What is it for?
Use it during security reviews, upgrades, and release preparation. It identifies affected packages, advisory IDs, severity, available fixes, and whether a dependency is direct or indirect.
Why use it?
It shows where dependencies may expose the project to security, maintenance, or licensing problems. This replaces manually checking each package and package manager.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/viknesh20-20/claude-code-tool-kit/design-flow
Any agent
npx skills add viknesh20-20/claude-code-tool-kit --skill design-flow
Clone the repo
git clone --depth 1 https://github.com/viknesh20-20/claude-code-tool-kit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for design-flow

README.md
[![agentmods](https://agentmods.dev/badge/skills/viknesh20-20/claude-code-tool-kit/design-flow.svg)](https://agentmods.dev/skills/viknesh20-20/claude-code-tool-kit/design-flow)
Your own site
<a href="https://agentmods.dev/skills/viknesh20-20/claude-code-tool-kit/design-flow"><img src="https://agentmods.dev/badge/skills/viknesh20-20/claude-code-tool-kit/design-flow.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,465 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00049 $0.01465
Opus 5 $0.00024 $0.00732
Sonnet 5 $0.00010 $0.00293
Haiku 4.5 $0.00005 $0.00146

Measured 4d ago against content hash f72d572af494, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

design-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 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.

.claude/skills/design-flow/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/design-flow

Design a complete user flow at the right altitude. Most flow design fails because it stops at the happy path — this skill walks the full surface (decisions, branches, edge cases, recovery) and outputs something engineers can actually build.

When to use

  • Designing a new feature flow before any UI work.
  • Spec'ing an existing flow that's never been documented.
  • Translating a vague product goal ("we need onboarding") into a concrete user-facing journey.
  • Comparing your flow against how Stripe / Linear / Notion / Shopify handle the same problem.

Operating method — ASK FIRST

Before designing anything, get answers in one round:

  1. Who is the user? Persona + context. Not "a user" — "a small-business owner whose first action is connecting a bank account on a phone."
  2. What's their goal? The thing they want completed.
  3. What's the success criterion? Measurable. "First-time user can complete in under 90 seconds, ≤ 3 attempts."
  4. What's the entry point? Where do they arrive from? Email link, marketing CTA, in-app banner, deep link from another product?
  5. What's the hardest case? The edge that's breaking it today (or the case you're worried about).
  6. What constraints? Compliance (KYC, GDPR consent), accessibility, mobile-first, third-party integrations.

Do not start designing without these. Designing the wrong flow takes the same time as designing the right one — and one of them ships.

Method

1. Story altitude

Walk the journey end to end in plain language. 5–12 numbered steps. Each step:

  • Where the user is (URL / screen / state).
  • What they see.
  • What they decide.
  • What they do.
  • What the system responds.

This pass tests whether the journey is coherent before any wireframing.

2. Decisions and branches

Every flow has decisions. Build a table:

Decision point Default path Alternatives If user bails If error
Pick auth method Magic link to email Google OAuth, SAML SSO Save email, send link 1h later Show error + retry
Confirm phone Enter SMS code Resend, change number Hold account 7d Show error + alt verification

Read the full file on GitHub · 161 lines

Changes

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.

  1. 4d ago First seen · 161 lines · 49 tokens per session scan A f72d572af494

Subscribe to this mod's changes

design-flow is a skill published in the GitHub repository viknesh20-20/claude-code-tool-kit (7 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 1,465 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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