real-use-testing

A procedure for checking a user-facing result on the actual website or application before calling it finished.

In plain words
What is it for?
Use it to run the shortest important user journey, inspect the interface with browser tools, and collect evidence that the result works.
Why use it?
Automated tests or source files may pass while the real interface still has problems.

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/megamen32/lasthumancommit/real-use-testing
Any agent
npx skills add megamen32/LastHumanCommit --skill real-use-testing
Clone the repo
git clone --depth 1 https://github.com/megamen32/LastHumanCommit

Made for: Claude Code, Codex.

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 607 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 $0.00048 $0.00607
Opus 5 $0.00024 $0.00303
Sonnet 5 $0.00010 $0.00121
Haiku 4.5 $0.00005 $0.00061

Measured 2d ago against content hash 8f6e305e396f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

real-use-testing 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.

plugins/last-human-commit/skills/real-use-testing/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Real Use Testing

Use when a user-facing claim needs real-surface proof. This is the final gate before "done"; test files never substitute for it. The journey executed is the minimal path's shortest real canary, not an invented broader tour.

Interaction tool ladder

Climb from the best available rung. Never claim an action is impossible before trying the last one.

  1. Accessibility tree first, as far as possible. Take an a11y snapshot (take_snapshot, accessibility tree, screen-reader structure). Target elements by role + accessible name + stable ref. This is the cheapest and most reliable targeting and usually suffices for the whole journey.
  2. Improved agent/browser MCPs when available and suitable:
    • browserclaw — a11y snapshot + numbered ref targeting, agent-first;
    • touchpoint — accessibility tree across desktop apps, not just browsers;
    • agent-browser — high-level agent browser automation;
    • playwright-mcp / chrome-devtools-mcp — pages, network, console, screenshots, performance.
  3. CDP / Playwright scripting when no MCP fits the surface or precise network/console evidence is required.
  4. Raw XY coordinate clicks + keyboard as the last resort. Some surfaces respond only to real coordinates. ALWAYS try this rung before reporting a UI action as impossible, and verify every coordinate hit with a fresh snapshot or screenshot.

Ladder discipline: after any navigation or state change, re-snapshot before the next action; a stale ref means re-snapshot, never guess; confirm each decisive action by observed state, not by command success.

Procedure

  1. Read the accepted claim, proof strength, target surface, allowed actions/test data, and stop conditions.
  2. Run the shortest actual user journey end-to-end using the ladder, without source-based shortcuts.
  3. Capture evidence appropriate to the claim and surface: a decisive screenshot for browser/UI outcomes, the exact command and output for CLI outcomes.
  4. Report PASS, CHANGES_REQUIRED, or STOP_MISSING_REAL_SURFACE with the exact journey, observed result, evidence path/reference, accepted claim, and smallest repair.

Read the full file on GitHub · 58 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. 2d ago First seen · 58 lines · 48 tokens per session scan A 8f6e305e396f

Subscribe to this mod's changes

real-use-testing is a skill published in the GitHub repository megamen32/LastHumanCommit (2 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 607 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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