verification

A completion check that confirms a task or bug fix actually works before it is marked finished. It checks the requested behavior rather than only code style or lint results.

In plain words
What is it for?
Use it before closing a feature or bug fix to test the expected result, look for side effects, and save a record of the verification.
Why use it?
Clean-looking code can still fail to solve the original problem, so this checks the acceptance requirements and possible regressions.

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/fusengine/agents/verification
Any agent
npx skills add fusengine/agents --skill verification
Clone the repo
git clone --depth 1 https://github.com/fusengine/agents

Made for: Claude Code, Codex.

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,213 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 $0.00039 $0.01213
Opus 5 $0.00019 $0.00607
Sonnet 5 $0.00008 $0.00243
Haiku 4.5 $0.00004 $0.00121

Measured 2d ago against content hash 67df5b59f489, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

verification 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 2d 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.

plugins/ai-pilot/skills/verification/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Step 6 always persists .claude/apex/docs/verify-{task-slug}.md -- an in-context "it works" declaration doesn't survive a session boundary, and this artifact is what later gates (sniper, elicitation) actually check. It sits between eLicit and eXamine in APEX: a task is only complete when both verification and sniper pass.

Verification Before Completion

Overview

Sniper validates CODE QUALITY. Verification validates FUNCTIONAL RESOLUTION. Both are needed before closing any task.

Sniper catches linter errors, SOLID violations, and code style issues. Verification ensures the original request is actually fulfilled -- the right behavior, the right output, the right fix. A task can pass sniper with zero errors and still be functionally wrong.

Aspect Sniper Verification
Focus Code quality Functional correctness
Checks Linting, SOLID, style Acceptance criteria, regressions, side effects
Runs After any code change Before marking task as complete
Result Clean code Solved problem

Agent Workflow

When invoked, follow the 6-step verification process below before marking any task as completed.

6-Step Verification Process

Step 1: Re-read the original request Go back to the original issue, task description, or user message. Read it word by word. Do not rely on memory or assumptions.

Step 2: List ALL acceptance criteria Extract every explicit and implicit requirement from the original request. Number them. If the request is vague, list what a reasonable user would expect.

Read the full file on GitHub · 95 lines

Files

What ships with it

3 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. 2d ago First seen · 95 lines · 39 tokens per session scan A 67df5b59f489

Subscribe to this mod's changes

verification is a skill published in the GitHub repository fusengine/agents (25 stars, last pushed 29d ago), licensed MIT. It adds 39 tokens to every session and 1,213 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 2026-08-30.