ai-dial-chat: Skill for Claude Code

.claude/skills/lean-verification/SKILL.md

lean-verification is a skill for Claude Code from epam/ai-dial-chat. It costs 40 tokens per session (491 once invoked), scanned A, original, Apache-2.0.

A verification workflow for an Nx code workspace. Nx is a tool for managing multiple related projects, and the workflow runs the narrowest useful tests, checks, or builds for the code that changed.

In plain words
What is it for?
Running focused tests during development, then affected or full lint, type, test, and build checks before merging.
Why use it?
It reduces unnecessary verification work while still checking whether a change breaks affected projects.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is epam/ai-dial-chat's own configuration. It tells Claude Code how to work on ai-dial-chat itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-dial-chat configures →

Reuse

Borrowing it

Nothing to install: this file belongs to epam/ai-dial-chat. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/epam/ai-dial-chat/development/.claude/skills/lean-verification/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/epam/ai-dial-chat

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lean-verification

README.md
[![agentmods](https://agentmods.dev/badge/skills/epam/ai-dial-chat/lean-verification.svg)](https://agentmods.dev/skills/epam/ai-dial-chat/lean-verification)
Your own site
<a href="https://agentmods.dev/skills/epam/ai-dial-chat/lean-verification"><img src="https://agentmods.dev/badge/skills/epam/ai-dial-chat/lean-verification.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 491 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00040 $0.00491
Opus 5 $0.00020 $0.00246
Sonnet 5 $0.00008 $0.00098
Haiku 4.5 $0.00004 $0.00049

Measured 4d ago against content hash ef75ffea76c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

lean-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 4d 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.

.claude/skills/lean-verification/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lean verification

Use the narrowest verification tier that can disprove the current change. The scripts capture full output under tmp/agent-logs/; successful runs return a two-line status, while failures return a bounded excerpt and the log path.

Verification tiers

# Red/green loop: pass one or more workspace-relative test paths.
npm run test:file -- libs/example/src/Foo.spec.ts

# Completed task or vertical slice: affected projects only.
npm run verify:changed

# Final pre-merge gate: full, non-mutating verification.
npm run verify:full
  • test:file is the default during implementation. It groups paths by their nearest Vite/Vitest config and runs only those files.
  • test:changed and verify:changed use Nx's affected project graph with origin/development as the base.
  • verify:affected remains available as an explicit affected verification alias.
  • verify:full uses lint:check, never the mutating npm run lint command.
  • build:quiet builds affected projects when the change can affect bundling.

This workspace contains many Nx projects, so affected verification narrows typecheck, lint, test, and build work to the changed projects and their affected dependents. Prefer exact tests for the mid-task loop; reserve project-level affected checks for a completed slice. A successful affected run may execute no task when only docs or agent configuration changed, so it is not a substitute for the final full gate.

Verification cadence

Batch related edits for one task-list item before re-verifying. Do not rerun a suite after each individual edit. OpenSpec tasks should name their exact test files so the red/green loop does not require rediscovery.

Failure handling

Use the printed failure excerpt first. Search or read only the relevant portion of the saved log if that excerpt is insufficient; do not load the whole log or rerun with a verbose reporter by default. Keep --reporter=minimal so passing test logs do not enter the conversation.

Read the full file on GitHub · 54 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. 4d ago First seen · 54 lines · 40 tokens per session scan A ef75ffea76c4

Subscribe to this mod's changes

lean-verification is a skill published in the GitHub repository epam/ai-dial-chat (504 stars, last pushed today), licensed Apache-2.0. It adds 40 tokens to every session and 491 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 2026-09-03.

Related

Other skills, from other repositories

browser-use

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work.

browser-use/browser-use · 26 tokens

mantis-configure

Configures and validates Mantis pipeline environments, sandbox mechanisms, and AI models. Use to set up workflow.json, auto-detect host capabilities, switch between sandboxes (static-only, gvisor, microsandbox, gce), select AI models, and run fast 1-2s preflight tests. Don't use for scanning source code or running…

google/mantis · 77 tokens

output-dev-eval-testing

Create offline evaluation tests for Output SDK workflows using @outputai/evals. Use when implementing test evaluators with verify(), creating dataset YAML files, building eval workflows, or running workflow tests via CLI.

growthxai/output · 46 tokens

output-dev-scenario-file

Create test scenario JSON files for Output SDK workflows. Use when creating test inputs, documenting expected behaviors, or setting up workflow testing.

growthxai/output · 32 tokens

output-plan-workflow

Use when the user asks to create, build, generate, scaffold, or plan a new workflow. Orchestrates the full planning process including architecture, steps, prompts, evaluators, and testing strategy using specialized subagents.

growthxai/output · 50 tokens

copywriting

Direct-response copywriting for landing pages, emails, and ads. Picks the right framework (AIDA, PAS, 4U headlines), loads brand voice if a profile exists, builds a 10-variant headline matrix, writes proof-backed body copy toward a single CTA, and pressure-tests every line. Use when the user says "write the landing…

alebgl77/claude-inc · 105 tokens