impl-verify

A code-checking step that reviews a finished implementation against its requirements, plan, domain rules, and engineering standards.

In plain words
What is it for?
Use it after coding to check whether the implementation is correct and complete, either as part of the ECW workflow or by running /ecw:impl-verify.
Why use it?
It helps catch missing, incorrect, or low-quality changes before a task is marked complete. It repeats the review until no must-fix issues remain.

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/aimeerrhythm/enterprise-change-workflow/impl-verify
Any agent
npx skills add Aimeerrhythm/enterprise-change-workflow --skill impl-verify
Clone the repo
git clone --depth 1 https://github.com/Aimeerrhythm/enterprise-change-workflow

Made for: Claude Code, Codex.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,994 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 $0.00037 $0.02994
Opus 5 $0.00018 $0.01497
Sonnet 5 $0.00007 $0.00599
Haiku 4.5 $0.00004 $0.00299

Measured yesterday against content hash bf6d366520a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

impl-verify 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.

skills/impl-verify/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Impl-Verify — Implementation Correctness Verification

After implementation completes and before marking the task done, perform multi-dimensional cross-validation of code changes: code logic ↔ requirements / domain knowledge / Plan / engineering standards. Converge over multiple rounds; exit only with zero must-fix findings.

Announce at start: "Using ecw:impl-verify to verify implementation correctness."

Output language: Read ecw.ymlproject.output_language.

Relationship with Other Verification Components

Component What It Verifies Execution Model Mandatory?
ecw:impl-verify (this skill) Code correctness + quality Multi-round convergence, exit on zero must-fix Yes (P0-P2)
verify-completion hook Compilation, tests, reference integrity, knowledge sync Auto-intercept Yes (automatic)
ecw:biz-impact-analysis Business impact scope Single analysis Yes (P0/P1 mandatory)
ecw:cross-review Inter-file structural consistency Multi-round convergence No (manual, optional)
ecw:spec-challenge Plan blind spots, boundary conditions Challenge-response Plan phase, not implementation phase

Input Material Collection

Before execution, locate input materials in the following order:

Material Source Round
Requirement document Current session's requirements-elicitation output / domain-collab report / user's original requirement description Round 1
Domain knowledge .claude/knowledge/{domain}/business-rules.md, data-model.md (locate affected domains via path-mappings.md) Round 2
Plan file Plan file produced by writing-plans in current session Round 3
Changed code git diff --name-only + git diff (get file list and detailed changes) All Rounds
Project patterns Existing code's naming/layering/error-handling conventions Round 4

Knowledge file read priority (Round 2):

Read the full file on GitHub · 186 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 186 lines · 37 tokens per session scan A bf6d366520a6

Subscribe to this mod's changes

impl-verify is a skill published in the GitHub repository Aimeerrhythm/enterprise-change-workflow (1 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 2,994 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.

Related

Other skills, from other repositories

zephyr

Zephyr - A Python REST API client for PTC Windchill PLM. Query parts, documents, change requests, suppliers, BOMs, CAD documents, workflows, and more. Supports OAuth 2.0 and Basic authentication.

srinivasmd/windchill-plm · 51 tokens

clinpgx-database

Access ClinPGx pharmacogenomics data (successor to PharmGKB). Query gene-drug interactions, CPIC guidelines, allele functions, for precision medicine and genotype-guided dosing decisions.

foryourhealth111-pixel/Vibe-Skills · 45 tokens

embedding-strategies

Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.

foryourhealth111-pixel/Vibe-Skills · 37 tokens

datavis

Comprehensive data visualization toolkit for creating beautiful, mathematically elegant visualizations with D3.js, Chart.js, and custom SVG. Use when (1) building interactive data visualizations, (2) designing color palettes for charts, (3) choosing scales and visual encodings, (4) creating data pipelines from…

foryourhealth111-pixel/Vibe-Skills · 106 tokens

docx-comment-reply

Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.

foryourhealth111-pixel/Vibe-Skills · 39 tokens

vibe-research

Deep research and market validation for app ideas. Use when starting a new project, validating an idea, or when the user says "research my idea", "validate my app", or "help me start a new project".

KhazP/vibe-coding-prompt-template · 49 tokens