testing.fix_mock_tests

testing.fix_mock_tests is a skill for Claude Code from gpsaggese/helpers. It costs 6 tokens per session (903 once invoked), scanned A, original, Apache-2.0.

A workflow for rewriting unit tests so they do not use mocks. Unit tests check small pieces of code, while mocking replaces real dependencies with controlled stand-ins during a test.

In plain words
What is it for?
It helps remove mocks from a test file, identify code that should be easier to control, and use dependency injection or pure functions instead.
Why use it?
Mocks can hide design problems and make tests tightly tied to implementation details. This workflow favours pure functions and passing dependencies into code so tests can use simple real or fake inputs.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths.

Good fit It helps remove mocks from a test file, identify code that should be easier to control, and use dependency injection or pure functions instead.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gpsaggese/helpers/testing.fix_mock_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 gpsaggese/helpers --skill testing.fix_mock_tests
Clone the repo
git clone --depth 1 https://github.com/gpsaggese/helpers

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 6 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 903 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.
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 $0.00006 $0.00903
Opus 5.5 $0.00002 $0.00361
Sonnet 5.5 $0.00001 $0.00181
Haiku 4.5 $0.00001 $0.00090

Measured yesterday against content hash 4374ae86f964, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

testing.fix_mock_tests 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 yesterday.

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.

return requests.get(f"https://api.com/users/{user_id}").json()
.claude/skills/testing.fix_mock_tests/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Goal

  • When the user passes a test file, apply these transformations to remove mocking without changing behavior
  • Mocking often signals a design that could be more modular
    • Avoid mocking by designing code so dependencies are easy to control, not intercepted artificially

Workflow

  • Avoid mocking using the strategies below

Prefer Pure Functions

  • Functions that depend only on inputs and return outputs are trivial to test
    • Example:
      def add(a: int, b: int) -> int:
          return a + b
      
  • No mocking needed: there are no external dependencies

Design for Dependency Injection (DI)

  • Instead of hard coding dependencies inside functions or classes, pass them in
  • Bad (hardcodes the dependency, forcing a mock to test it)
    from typing import Any
    import requests
    
    def get_user(user_id: int) -> Any:
      return requests.get(f"https://api.com/users/{user_id}").json()
    
  • Good (injects the dependency, so a fake can be substituted in tests)
    from typing import Any, Protocol
    
    class HttpClient(Protocol):
        def get(self, url: str) -> Any: ...
    
    def get_user(user_id: int, http_client: HttpClient) -> Any:
      return http_client.get(f"https://api.com/users/{user_id}").json()
    
  • Bad (creates its own dependency inside __init__)
    class Database: pass
    
    class UserService:
      def __init__(self) -> None:
        self.db: Database = Database()
    
  • Good (accepts the dependency, so a fake can be passed in)
    class Database: pass
    
    class UserService:
      def __init__(self, db: Database) -> None:
        self.db: Database = db
    

Create Lightweight Fakes Instead of Mocks

  • A fake is a real implementation with simplified behavior
    • More maintainable and less brittle than mocks
    • Example:
      from typing import Any
      
      class FakeDatabase:
          def __init__(self) -> None:
              self.data: dict[str, Any] = {}
      
          def save(self, key: str, value: Any) -> None:
              self.data[key] = value
      
          def get(self, key: str) -> Any:
              return self.data.get(key)
      

Read the full file on GitHub · 125 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. yesterday First seen · 125 lines · 6 tokens per session scan A 4374ae86f964

Subscribe to this mod's changes

testing.fix_mock_tests is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 6 tokens to every session and 903 once invoked, about $0.0000 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 2026-11-06.

Related

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