verify-implementation

A post-change verification workflow for running project checks after implementation. It uses a verification agent to run tests, linting, builds, and other checks defined for the project.

In plain words
What is it for?
Use it after implementing changes to run the project’s documented tests, lint checks, build commands, and other success checks.
Why use it?
It gives a concise pass-or-fail summary and helps catch broken code before the change is handed over.

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/eveld/claude/verify-implementation
Any agent
npx skills add eveld/claude --skill verify-implementation
Clone the repo
git clone --depth 1 https://github.com/eveld/claude

Made for: Claude Code, Codex.

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 751 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 $0.00024 $0.00751
Opus 5 $0.00012 $0.00376
Sonnet 5 $0.00005 $0.00150
Haiku 4.5 $0.00002 $0.00075

Measured 2d ago against content hash e95c3dae9b5f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

verify-implementation 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.

skills/verify-implementation/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verify Implementation

Run verification commands after implementing changes to ensure correctness.

Verification Sources

Check thoughts/notes/commands.md (created by discover-project-commands skill) for:

  • Available test commands
  • Linting commands
  • Build commands
  • Other project-specific verification

IMPORTANT: Always Use Verification Agent

DO NOT run verification commands directly in main context.

Spawn a verification agent to run checks and return summary:

Task(subagent_type="Bash",
     prompt="Run verification commands from plan success criteria:
     - make test
     - make lint
     - make build
     [list all automated checks from plan]

     Return concise summary:
     - If all pass: ✅ All verification passed
     - If any fail: ❌ Verification failed
       - List ONLY the failing checks
       - Include first few lines of error
       - Omit stack traces and verbose output

     Maximum output: 2k tokens")

Why use an agent:

  • Raw output can be 10k+ tokens (floods main agent context)
  • Agent filters to only essential info (1-2k tokens)
  • Keeps main agent focused on implementation
  • Part of token management strategy (see spawn-implementation-agents)

Agent returns:

  • ✅ Pass status or ❌ Fail status
  • Only failed checks (not successful ones)
  • First few lines of errors (not full output)
  • Actionable information only

Common Verification Steps

1. Run Tests

Check commands.md, then run appropriate command:

  • make test - If Make target exists
  • npm test - If npm script exists
  • go test ./... - Direct Go command
  • pytest - Direct Python command

2. Run Linting

Check commands.md, then run:

  • make lint - If Make target exists
  • npm run lint - If npm script exists
  • golangci-lint run - Direct Go command
  • eslint . - Direct JavaScript command

3. Build Check

Check commands.md, then run:

  • make build - If Make target exists
  • npm run build - If npm script exists
  • go build ./... - Direct Go command

Read the full file on GitHub · 117 lines

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 · 117 lines · 24 tokens per session scan A e95c3dae9b5f

Subscribe to this mod's changes

verify-implementation is a skill published in the GitHub repository eveld/claude (10 stars, last pushed 6mo ago), licensed MIT. It adds 24 tokens to every session and 751 once invoked, about $0.0001 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.

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