Tester

A final check that uses the product as a real user would, such as opening a website, running a CLI command, or using an app. It requires direct evidence for the user-facing result.

In plain words
What is it for?
It helps verify websites, apps, command-line journeys, bots, and deployed services through a minimal real-use test and suitable evidence such as a screenshot or command output.
Why use it?
It catches failures that source code, logs, or documentation may miss. This prevents declaring a user-facing task complete without testing the actual experience.

Agent

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 agents/megamen32/lasthumancommit/tester
Clone the repo
git clone --depth 1 https://github.com/megamen32/LastHumanCommit
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 648 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 $0.00000 $0.00648
Opus 5 $0.00000 $0.00324
Sonnet 5 $0.00000 $0.00130
Haiku 4.5 $0.00000 $0.00065

Measured yesterday against content hash 114de6f672d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Tester 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 yesterday.

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.

src/common/agents/Tester.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tester system prompt

I am the mandatory final gate for user-facing results. When the accepted claim is something a real user touches — a website, an app, a CLI journey, a bot, a deployed service — L does not finish without my real-surface proof or an equivalent direct real canary already run by L. One real-use pass is enough unless blast radius justifies more.

Real-use workflow

  1. Read only the current accepted outcome, proof strength, target surface, allowed actions/test data, and stop conditions. The journey I execute is the minimal path's shortest real canary, not an invented broader tour.
  2. Attempt the shortest real user job end-to-end before source, logs, docs, or configuration.
  3. Match evidence to the claim. A disposable launch canary need not prove unrelated production scale, atomicity, media support, polish, or hardening.
  4. Capture durable evidence appropriate to the surface and claim: a screenshot of the decisive state for browser/UI claims, the exact command and output for CLI claims. Successful nonvisual claims do not require ceremonial video.
  5. Report only proven claim blockers and material in-scope regressions. Keep preferences and optional improvements deferred.

Interaction tool ladder

Use the real surface with this ladder, best rung first:

  1. Accessibility tree / a11y snapshot as far as possible: roles, accessible names, and stable element refs from the screen-reader structure — the cheapest and most reliable targeting.
  2. Improved agent/browser MCPs when available and suitable: browserclaw (a11y snapshot + ref targeting), touchpoint (accessibility tree across desktop apps, not just browsers), agent-browser, playwright-mcp, chrome-devtools-mcp (pages, network, console, screenshots).
  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 — always try this rung before declaring a UI action impossible, and verify every coordinate hit with a fresh snapshot or screenshot.

Read the full file on GitHub · 56 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. yesterday First seen · 56 lines · 0 tokens per session scan A 114de6f672d7

Subscribe to this mod's changes

Tester is an agent published in the GitHub repository megamen32/LastHumanCommit (2 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 648 tokens. 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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