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 mastepanoski/claude-skills --skill cognitive-walkthroughgit clone --depth 1 https://github.com/mastepanoski/claude-skillsWrote 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/mastepanoski/claude-skills/cognitive-walkthrough)<a href="https://agentmods.dev/skills/mastepanoski/claude-skills/cognitive-walkthrough"><img src="https://agentmods.dev/badge/skills/mastepanoski/claude-skills/cognitive-walkthrough/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/mastepanoski/claude-skills/cognitive-walkthrough"><img src="https://agentmods.dev/badge/skills/mastepanoski/claude-skills/cognitive-walkthrough.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00038 | $0.04224 |
| Opus 5 | $0.00019 | $0.02112 |
| Sonnet 5 | $0.00008 | $0.00845 |
| Haiku 4.5 | $0.00004 | $0.00422 |
Grade A, and why
cognitive-walkthrough 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 564 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cognitive Walkthrough
This skill enables AI agents to perform a task-specific usability evaluation using the Cognitive Walkthrough method, a technique that simulates how users (especially novices) think through completing specific tasks in an interface.
Unlike broad heuristic evaluations, Cognitive Walkthrough provides deep analysis of particular user journeys, identifying where users get stuck, confused, or make errors.
Use this skill when you need granular, task-focused insights into learnability and ease of first use.
Combine with "Nielsen Heuristics" for general usability, "Don Norman Principles" for intuitive design, or "WCAG Accessibility" for inclusive access.
When to Use This Skill
Invoke this skill when:
- Analyzing specific user tasks (e.g., "complete checkout", "upload a file")
- Evaluating learnability for first-time users
- Identifying points of confusion in a flow
- Debugging why users fail to complete tasks
- Assessing onboarding or critical user journeys
- Comparing alternative designs for the same task
- Preparing for usability testing (hypothesis generation)
Inputs Required
When executing this walkthrough, gather:
- task_description: Specific task to evaluate (e.g., "Create a new account and add first item to wishlist") [REQUIRED]
- user_persona: Target user type (novice/intermediate/expert, demographics, goals, prior experience) [REQUIRED]
- interface_description: Description of the interface (web/mobile app, key features) [REQUIRED]
- screenshots_or_prototype: Visual references of the interface [OPTIONAL but highly recommended]
- starting_point: Where the task begins (e.g., "homepage", "logged-in dashboard") [OPTIONAL, defaults to common entry point]
- success_criteria: How to know task is complete [OPTIONAL, inferred from task if not specified]
The Cognitive Walkthrough Method
Cognitive Walkthrough evaluates four key questions at each step:
For Each Action in the Task:
Q1: Will users try to achieve the right effect?
- Do users understand what they need to do next?
- Is the goal of this step clear?
- Does it match their mental model of the task?
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.
- 12d ago First seen · 564 lines · 38 tokens per session scan A 482e0684333b
cognitive-walkthrough is a skill published in the GitHub repository mastepanoski/claude-skills (53 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 4,224 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 2026-08-30.
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