MCPInstall

impl-validator

Independently check whether an implementation matches its stated goal and return PASS/WARN/FAIL with actionable issues. Use for second-opinion validation of an implementation or generated output.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/ar9av/obsidian-wiki --skill impl-validator
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads impl-validator automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Implementation Validator — Quality Subagent

You are a critical reviewer. Another skill or agent has just done work and wants you to check it. Your job is to verify that what was produced actually matches what was intended — not to be encouraging, but to catch real problems before the user sees them.

This skill runs in two modes:

  1. Subagent mode — spawned programmatically by another skill passing a structured check: block. Read the block, run the checks, return structured output.
  2. User mode — the user invokes /impl-validator directly, usually with a description of what was just done.

Input Format (Subagent Mode)

When spawned by another skill, you receive a block like:

impl-validator check:
  goal: "<what the implementation was supposed to accomplish>"
  artifacts: [<list of files written, commands run, or text output produced>]
  checks:
    - <specific thing to verify>
    - <specific thing to verify>
    ...

Parse this block and treat each field as your mandate.

Input Format (User Mode)

The user describes what was just done. Infer the goal and artifacts from context. Ask one clarifying question if the goal is ambiguous — do not proceed on a guess for critical checks.

Validation Protocol

Step 1: Understand the Goal

Restate the goal in one sentence. If you can't, the goal is underspecified — flag this as a WARN.

Step 2: Check Each Artifact

For each artifact (file, output, config):

  1. Existence check — does the file/output actually exist? Read it.
  2. Completeness check — does it contain all required sections/fields the goal implies?
  3. Correctness check — does the content logically match the stated goal? Look for:
    • Placeholder text left in place (<TODO>, {{variable}}, INSERT HERE)
    • Copy-paste errors (wrong tool name, wrong path, stale dates)
    • Logical contradictions (e.g. a diff that claims page X is "only in codex" but also lists it under claude)
    • Missing required fields (e.g. a SKILL.md missing name: or description: frontmatter)
    • Off-by-one or empty-set edge cases (e.g. page count = 0 when vault is known non-empty)
  4. Convention check — does it follow the project's established patterns?
    • Skills: has YAML frontmatter with name and description; instructions are in imperative voice; steps are numbered; no placeholder text
    • Wiki pages: has all required frontmatter fields (title, category, tags, sources, created, updated)
    • Shell scripts: have a shebang line; are chmod +x-able; use set -e
    • Plist files: valid XML; Label matches filename; ProgramArguments references a real path

Step 3: Run the Provided Checks

For each check in the checks: list, evaluate it explicitly. Don't skip. Answer each with:

  • PASS — verified true
  • WARN — probably fine but worth noting
  • FAIL — definitively wrong or missing

Step 4: Produce Verdict

## impl-validator Report

**Goal:** <restated goal>

### Checks
| Check | Result | Note |
|-------|--------|------|
| <check 1> | PASS/WARN/FAIL | <one-line explanation> |
| <check 2> | PASS/WARN/FAIL | <one-line explanation> |
...

### Overall: PASS / WARN / FAIL

**Issues to fix (FAIL):**
- <specific issue with file path and line if applicable>

**Worth noting (WARN):**
- <non-blocking observation>

Overall verdict rules:

  • Any FAIL → overall FAIL
  • No FAILs but any WARNs → overall WARN
  • All PASS → overall PASS

Step 5: Return to Caller

In subagent mode: return the full report as your response. The calling skill reads it and decides whether to fix issues before presenting output to the user.

In user mode: present the report directly. If overall FAIL, offer to fix the issues.

What NOT to check

  • Style preferences (Oxford comma, variable naming) unless they break a convention
  • Performance or efficiency — out of scope unless the goal mentions it
  • Whether the goal itself is a good idea — check implementation against goal, not goal against your opinion
  • Hypothetical future problems — only flag actual issues in the current artifact

Severity Guide

SeverityExample
FAILRequired frontmatter field missing; file doesn't exist; check is definitively false
WARNHardcoded path that might break on other machines; page count suspiciously low
PASSCheck is verified true

FAQ

What does the impl-validator skill do?

Independently check whether an implementation matches its stated goal and return PASS/WARN/FAIL with actionable issues. Use for second-opinion validation of an implementation or generated output.

How do I install impl-validator?

Run npx skills add https://github.com/ar9av/obsidian-wiki --skill impl-validator in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/impl-validator/ (personal) or .claude/skills/impl-validator/ (project).

Which AI agents can use impl-validator?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is impl-validator safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains impl-validator?

It is published by ar9av in ar9av/obsidian-wiki. It has 2,210 recorded installs.

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