approval-tests

approval-tests is a skill for Claude Code, Codex from lexler/skill-factory. It costs 48 tokens per session (1,033 once invoked), scanned A, original, Apache-2.0.

An approval-testing method that compares complex program output with a saved expected-output file, sometimes called a snapshot or golden master.

In plain words
What is it for?
Use it to capture existing behavior before refactoring, check many input combinations, or verify complex output in Python, JavaScript, TypeScript, or Java.
Why use it?
It avoids writing many separate checks and lets you review the complete output when the expected result is difficult to describe in individual assertions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to capture existing behavior before refactoring, check many input combinations, or verify complex output in Python, JavaScript, TypeScript, or Java.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lexler/skill-factory/approval-tests
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 lexler/skill-factory --skill approval-tests
Clone the repo
git clone --depth 1 https://github.com/lexler/skill-factory

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 approval-tests

README.md
[![agentmods](https://agentmods.dev/badge/skills/lexler/skill-factory/approval-tests.svg)](https://agentmods.dev/skills/lexler/skill-factory/approval-tests)
Your own site
<a href="https://agentmods.dev/skills/lexler/skill-factory/approval-tests"><img src="https://agentmods.dev/badge/skills/lexler/skill-factory/approval-tests.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,033 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 $0.00048 $0.01033
Opus 5 $0.00024 $0.00517
Sonnet 5 $0.00010 $0.00207
Haiku 4.5 $0.00005 $0.00103

Measured 8d ago against content hash c54945d5472a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

approval-tests 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 8d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

output_skills/testing/approval-tests/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

STARTER_CHARACTER = 📸

Approval Tests

Philosophy

"A picture's worth 1000 assertions."

Approval tests verify complex output by comparing against a saved "golden master" file instead of writing individual assertions. You capture the output once, review it, approve it, and future runs compare against that approved snapshot.

You don't need to know the expected output upfront. Run the code, see what it produces, decide if it's correct. Approval is a judgment - you're confirming this is what the code should produce. Whoever writes the code reviews and approves.

Use approval tests when:

  • Output is complex - instead of 20 assertions, one approval captures everything
  • Characterizing legacy code - snapshot behavior, then refactor safely
  • Combinatorial testing - test all input combinations in one approval
  • Assertions would be tedious or brittle

Use assertions when:

  • Simple values or specific edge cases
  • Non-deterministic output that can't be scrubbed

Core Workflow

1. Write test with verify(result)
2. Run test → FAILS (no .approved file yet)
3. Creates: TestName.approved.txt (empty) + TestName.received.txt (actual output)
4. Review .received file - is this correct?
5. YES → rename/copy .received to .approved
6. Run test again → PASSES
7. Commit .approved file to version control

File naming convention:

{TestClass}.{test_method}.approved.txt   ← commit this
{TestClass}.{test_method}.received.txt   ← gitignore this

Critical rules:

  • .approved files ARE your test expectations - commit them
  • .received files are temporary - add *.received.* to .gitignore
  • Never edit .approved files by hand - always generate via test

When a test fails, a diff tool opens showing approved vs received. This is how you review changes. Reporters configure which diff tool to use.

Core API Pattern

All languages follow the same pattern:

verify(result)                    # Basic string/object verification
verify_as_json(object)            # Objects as formatted JSON
verify_all(header, items)         # Collections with labels
verify_all_combinations(fn, inputs)  # All input combinations

Read the full file on GitHub · 96 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. 8d ago First seen · 96 lines · 48 tokens per session scan A c54945d5472a

Subscribe to this mod's changes

approval-tests is a skill published in the GitHub repository lexler/skill-factory (234 stars, last pushed 12d ago), licensed Apache-2.0. It adds 48 tokens to every session and 1,033 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.

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