check-work

check-work is a skill for Claude Code, Codex from RoyZhao1991/LingShu. It costs 64 tokens per session (2,860 once invoked), scanned A, original, Apache-2.0.

A self-checking workflow that asks a separate AI reviewer to inspect code changes, run builds and tests, and judge whether the result is correct.

In plain words
What is it for?
Use it after coding when you want to verify a change, its tests, or a specific area such as login security or JWT handling.
Why use it?
It helps catch problems before work is considered finished by adding an independent review and repeating fixes until the review passes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions AGENTS.md.

Good fit Use it after coding when you want to verify a change, its tests, or a specific area such as login security or JWT handling.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/royzhao1991/lingshu/check-work
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.

Any agent
npx skills add RoyZhao1991/LingShu --skill check-work
Clone the repo
git clone --depth 1 https://github.com/RoyZhao1991/LingShu

Made for: Claude Code, Codex.

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 check-work

README.md
[![agentmods](https://agentmods.dev/badge/skills/royzhao1991/lingshu/check-work/github.svg)](https://agentmods.dev/skills/royzhao1991/lingshu/check-work)
Your own site
<a href="https://agentmods.dev/skills/royzhao1991/lingshu/check-work"><img src="https://agentmods.dev/badge/skills/royzhao1991/lingshu/check-work/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for check-work

Your own site · 80×15
<a href="https://agentmods.dev/skills/royzhao1991/lingshu/check-work"><img src="https://agentmods.dev/badge/skills/royzhao1991/lingshu/check-work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,860 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00064 $0.02860
Opus 5.5 $0.00026 $0.01144
Sonnet 5.5 $0.00013 $0.00572
Haiku 4.5 $0.00006 $0.00286

Measured 1mo ago against content hash 51a57345db2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

check-work scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Running the application and exercising it (curl endpoints, invoke CLIs)
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

Runtime/Grok/crates/codegen/xai-grok-shell/skills/check-work/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/check-work -- Self-Verification

Verify work by spawning a verifier subagent, checking its verdict, and fixing issues until it passes.

Usage

/check-work [focus area]

The optional focus area tells the verifier to pay special attention to specific aspects of the changes (e.g. "auth logic and JWT handling").

Mode Detection

Determine which mode you are in before proceeding:

  • Same-turn mode: There is a user task alongside this skill (e.g. headless --check). Complete the task fully first, then proceed to Step 1 below.
  • Standalone mode: There is no task — just /check-work (or the alias /check) or the skill was invoked after a previous turn. Proceed directly to Step 1.

Steps

  1. Call the task tool with:

    • description: must start with "[checking my work]" followed by a short label
    • subagent_type: "general-purpose"
    • run_in_background: false
    • prompt: copy the VERIFIER PROMPT section below verbatim. If a focus area was specified by the user, append this to the prompt:
      ## Additional Focus
      <focus area text>
      Pay special attention to these areas during verification.
      
  2. Read the subagent's result. Look for VERDICT: PASS or VERDICT: FAIL.

  3. If PASS: summarize what the verifier confirmed and stop.

  4. If FAIL (or no verdict found): fix the issues the verifier identified, then go back to step 1. Repeat up to 3 times.

VERIFIER PROMPT

You are an expert verifier. Your job is to determine whether the work done in this session correctly and completely addresses the user's requests.

You already have the full conversation context, so you know what the user asked for, what approach was taken, what tools were used, and what outcomes were observed. You also have full access to the same environment and tools the original agent had.

=== SCOPE ===

Determine what to verify:

  • If a focus area was specified (see Additional Focus below), verify that specific area. Use the full session trace for context -- understand what was asked, what was done, and what state the environment is in -- but scope your verdict to the focused area.
  • If no focus area was specified, verify all work done in this session.

Read the full file on GitHub · 288 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. 1mo ago First seen · 288 lines · 64 tokens per session scan A 51a57345db2b

Subscribe to this mod's changes

check-work is a skill published in the GitHub repository RoyZhao1991/LingShu (11 stars, last pushed 12d ago), licensed Apache-2.0. It adds 64 tokens to every session and 2,860 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

Pair Programming

AI-assisted pair programming with multiple modes (driver$navigator$switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with…

ruvnet/ruflo · 61 tokens

repo-hardening

Audit a repository the way a rigorous engineer would and produce an evidence-backed, prioritized improvement plan covering instruction files, lint and source gates, type strictness, test quality, CI and merge flow, review and verification habits, and the mistake classes agents keep repeating in git history. Use when…

closedloop-ai/claude-plugins · 184 tokens

review

Review code changes, pull requests, patches, or a scoped code area for actionable correctness, security, compatibility, and test risks with file and line evidence. Use for review or audit requests; do not use for general proofreading, feature implementation, or debugging a reported failure when the user wants a fix.

bigduu/Bamboo-agent · 62 tokens

debug

Diagnose a concrete failure, regression, crash, hang, flaky test, or incorrect runtime behavior by reproducing it, testing hypotheses, and identifying the evidence-backed root cause. Use when symptoms or failing output exist; do not use for feature implementation without a failure, general code review, or a conceptual…

bigduu/Bamboo-agent · 64 tokens

C31-review

Reviews code changes using dynamically selected reviewer personas, then runs a verify-work pass: UAT walkthrough, verifier validation, and decision coverage logging. Writes memory/.planning/phases/XX-VERIFICATION.md.

ChianW/C31 · 32 tokens

maintain-verification-skill

Periodic pass that keeps a project's verification skill and feature map honest: parallel source readers per feature, one live session driving every feature, at most one PR of proven corrections. Use for /maintain-verification-skill or "audit the verify skill".

amajorai/ryu · 57 tokens