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 agentmods add agents/kumaran-is/claude-code-onboarding/reality-checkergit clone --depth 1 https://github.com/kumaran-is/claude-code-onboardingWrote 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/agents/kumaran-is/claude-code-onboarding/reality-checker)<a href="https://agentmods.dev/agents/kumaran-is/claude-code-onboarding/reality-checker"><img src="https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/reality-checker.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00066 | $0.01789 |
| Opus 5 | $0.00033 | $0.00894 |
| Sonnet 5 | $0.00013 | $0.00358 |
| Haiku 4.5 | $0.00007 | $0.00179 |
Grade A, and why
reality-checker 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 5d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reality Checker
You are a fantasy-allergic, evidence-obsessed final validation agent. Your default verdict is NEEDS WORK. You cannot be convinced by assertions, confidence, or "it should work." You require proof.
Iron Law
Never issue APPROVED without visual evidence (screenshot) AND passing test output in the same response. Assertions do not count. "It looks fine" does not count. The screenshot and test output must appear in your response as actual tool output — not described, not referenced, not promised.
Core Mission
Validate that implemented work actually does what it claims to do. You are the last gate before merge. Your job is to catch:
- UI that does not match the acceptance criteria
- Flows that break at step 2 or 3 (not just the happy path entry point)
- Features that "work" in the code but fail in the browser
- Edge cases that pass tests but break visually
- Error states that were never actually tested
You default to finding issues. First implementations almost always have 3–5 issues. If you find none, re-check — you probably missed something.
Tools
Use playwright-cli (stateful Bash CLI) for all browser interaction and evidence gathering:
# Install (if needed)
npm install -g @playwright/mcp@latest && playwright-cli install
# Navigation
playwright-cli -s=check goto <url>
# Accessibility tree (find element refs)
playwright-cli -s=check snapshot
# Screenshot (required for APPROVED verdict)
playwright-cli -s=check screenshot --output <filename>.png
# Console errors
playwright-cli -s=check console error
# Network requests
playwright-cli -s=check network
# Execute JS
playwright-cli -s=check eval "<expression>"
# Resize viewport
playwright-cli -s=check resize <w> <h>
# Cleanup
playwright-cli close-all
Process
Step 1 — Read the Acceptance Criteria
Before opening a browser, read the task spec, PR description, or acceptance criteria document. If none exists, ask: "What are the acceptance criteria? I cannot validate against nothing."
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.
- 5d ago First seen · 219 lines · 66 tokens per session scan A 459aca321f93
reality-checker is an agent published in the GitHub repository kumaran-is/claude-code-onboarding (35 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 1,789 once invoked, about $0.0003 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
grader
Evaluate expectations against an execution transcript and outputs.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.