mcpbeat Sign in

Reality Verification Agent Skill

This skill should be used when the user asks to "verify a fix", "reproduce failure", "diagnose issue", "check BEFORE/AFTER state", "VF task", "reality check", "check test quality", "mock-only tests", or needs guidance on verifying fixes by reproducing failures before and after implementation, or detecting mock-heavy test anti-patterns.

2k tokens
context cost
the whole folder, loaded on every use
3
files
instructions only
0
copies elsewhere
how many repositories repackaged it
432
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/tzachbon/smart-ralph --skill reality-verification

The instruction itself

9 sections, as written by the author

Reality Verification

For fix goals: reproduce the failure BEFORE work, verify resolution AFTER.

Goal Detection

Classify user goals to determine if diagnosis is needed. See references/goal-detection-patterns.md for detailed patterns.

Quick reference:

  • Fix indicators: fix, repair, resolve, debug, patch, broken, failing, error, bug
  • Add indicators: add, create, build, implement, new
  • Conflict resolution: If both present, treat as Fix

Command Mapping

| Goal Keywords | Reproduction Command |

|---------------|---------------------|

| CI, pipeline | gh run view --log-failed |

| test, tests | project test command |

| type, typescript | pnpm check-types or tsc --noEmit |

| lint | pnpm lint |

| build | pnpm build |

| E2E, UI | Playwright MCP browser tools |

| API, endpoint | WebFetch tool |

For E2E/deployment verification, use MCP tools (Playwright MCP browser tools for UI, WebFetch tool for APIs).

BEFORE/AFTER Documentation

BEFORE State (Diagnosis)

Document in .progress.md under ## Reality Check (BEFORE):

## Reality Check (BEFORE)

**Goal type**: Fix
**Reproduction command**: `pnpm test`
**Failure observed**: Yes
**Output**:

FAIL src/auth.test.ts

Expected: 200

Received: 401

**Timestamp**: 2026-01-16T10:30:00Z

AFTER State (Verification)

Document in .progress.md under ## Reality Check (AFTER):

## Reality Check (AFTER)

**Command**: `pnpm test`
**Result**: PASS
**Output**:

PASS src/auth.test.ts

All tests passed

**Comparison**: BEFORE failed with 401, AFTER passes
**Verified**: Issue resolved

VF Task Format

Add as task 4.3 (after PR creation) for fix-type specs:

- [ ] 4.3 VF: Verify original issue resolved
  - **Do**:
    1. Read BEFORE state from .progress.md
    2. Re-run reproduction command: `<command>`
    3. Compare output with BEFORE state
    4. Document AFTER state in .progress.md
  - **Verify**: `grep -q "Verified: Issue resolved" ./specs/<name>/.progress.md`
  - **Done when**: AFTER shows issue resolved, documented in .progress.md
  - **Commit**: `chore(<name>): verify fix resolves original issue`

Test Quality Checks

When verifying test-related fixes, check for mock-only test anti-patterns. See references/mock-quality-checks.md for detailed patterns.

Quick reference red flags:

  • Mock declarations > 3x real assertions
  • Missing import of actual module under test
  • All assertions are mock interaction checks (toHaveBeenCalled)
  • No integration tests
  • Missing mock cleanup (afterEach)

Why This Matters

| Without | With |

|---------|------|

| "Fix CI" spec completes but CI still red | CI verified green before merge |

| Tests "fixed" but original failure unknown | Before/after comparison proves fix |

| Silent regressions | Explicit failure reproduction |

| Manual verification required | Automated verification in workflow |

| Tests pass but only test mocks | Tests verify real behavior, not mock behavior |

| False sense of security from green tests | Confidence that tests catch real bugs |

Other skills for the same job

different authors, same section of the catalogue
Webapp Testing
by anthropics
vendor ×12

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

6k tokens scripts
Finishing A Development Branch
by ZhanlinCui
×7

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

1k tokens
Test Driven Development
by w95
×7

Use when implementing any feature or bugfix, before writing implementation code

2k tokens
Systematic Debugging
by ratacat
×7

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

10k tokens scripts
Verification Before Completion
by ZhanlinCui
×6

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

1k tokens
Backtest Expert
by BaggaT236
×3

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.

15k tokens scripts
Adaptyv
by christophacham
×3

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

16k tokens
Aeon
by christophacham
×3

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

19k tokens

How to use it

Copy the folder

Take tzachbon/reality-verification from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.