workflow-observation

workflow-observation is a skill for Claude Code, Codex from Akakaui/visual-browser-agent. It costs 37 tokens per session (759 once invoked), scanned A, original, MIT.

A method for observing and mapping a multi-step website workflow without completing real transactions or changing real data. It records short clips and screenshots for each stage, then describes actions, expected results, branches, and problem points.

In plain words
What is it for?
Use it to study onboarding, signup, search, shopping carts, checkout, multi-step forms, and wizards before redesigning them or automating tests.
Why use it?
It shows where a process becomes confusing or fails without requiring someone to remember every step. Separating stages makes complex flows easier to document and review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to study onboarding, signup, search, shopping carts, checkout, multi-step forms, and wizards before redesigning them or automating tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akakaui/visual-browser-agent/workflow-observation
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.

Any agent
npx skills add Akakaui/visual-browser-agent --skill workflow-observation
Clone the repo
git clone --depth 1 https://github.com/Akakaui/visual-browser-agent

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 workflow-observation

README.md
[![agentmods](https://agentmods.dev/badge/skills/akakaui/visual-browser-agent/workflow-observation.svg)](https://agentmods.dev/skills/akakaui/visual-browser-agent/workflow-observation)
Your own site
<a href="https://agentmods.dev/skills/akakaui/visual-browser-agent/workflow-observation"><img src="https://agentmods.dev/badge/skills/akakaui/visual-browser-agent/workflow-observation.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 759 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00037 $0.00759
Opus 5 $0.00018 $0.00380
Sonnet 5 $0.00007 $0.00152
Haiku 4.5 $0.00004 $0.00076

Measured 6d ago against content hash 18c7a77fc143, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

workflow-observation 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 6d 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.

skills/workflow-observation/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow Observation Skill

When to Use

Use this skill to understand how a workflow behaves end to end:

  • Onboarding, signup, search, cart, or checkout flows
  • Multi-step forms and wizards
  • Documenting a flow before redesign or test automation
  • Finding confusing or failure-prone stages in a UX walkthrough

Instructions

Preparation

  1. Confirm the environment with the user: production data vs sandbox/test account
  2. State the contract up front: observe and map, never transact
  3. Break the workflow into named stages (e.g., landing -> search -> detail -> cart -> checkout)

Stage Recording

For each stage:

  1. record_interaction(action: "start") before the first step of the stage
  2. Perform minimal steps (click, fill) needed to progress
  3. Keep clips short: stop after the stage completes (max ~15 seconds)
  4. capture_screenshot at every decision point and state change

Step Extraction

From clips and screenshots, produce a numbered step map:

  • Each entry: action taken -> expected result -> evidence ID (clip/screenshot)
  • Mark branches, optional paths, back-navigation, and dead ends
  • Note wait states, spinners, and redirects between steps

Friction Identification

Flag stages that are:

  • Confusing: ambiguous labels, hidden primary actions, unexpected navigation, jargon
  • Failure-prone: validation appearing only at the end, destructive actions adjacent to safe ones, no undo, vague error messages, lost input on back-navigation

Each flagged stage cites the clip timestamp or screenshot that shows the problem.

Hard Boundaries

  • NEVER submit final forms (order placement, payment, account changes, publishing, deletion) without explicit user approval for that exact action
  • Fill only clearly test-safe fields; use obvious placeholder values ("Test User", "[email protected]")
  • If a stage cannot be observed safely, record it as UNOBSERVED rather than forcing through it

Safety

  • Observation mode only: no purchases, submissions, or state-mutating confirmations
  • Prefer sandbox/staging environments; ask when unsure which environment you are in
  • Do not enter real personal data, payment details, or credentials into observed flows
  • Stop immediately if an action would create legal or financial obligations

Read the full file on GitHub · 85 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. 6d ago First seen · 85 lines · 37 tokens per session scan A 18c7a77fc143

Subscribe to this mod's changes

workflow-observation is a skill published in the GitHub repository Akakaui/visual-browser-agent (0 stars, last pushed 12d ago), licensed MIT. It adds 37 tokens to every session and 759 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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