testing.move_test_code

testing.move_test_code is a skill for Claude Code from causify-ai/helpers. It costs 12 tokens per session (251 once invoked), scanned A, original, Apache-2.0.

A guide for reorganizing a Python test file by moving each test class into the file that matches the code it tests. It first maps test classes to functions and source files, then asks for approval before moving anything.

In plain words
What is it for?
Use it to identify what each test class covers, propose a file split, obtain confirmation, and move the test code without changing it.
Why use it?
It prevents unrelated tests from accumulating in one file and makes test locations easier to understand. The approval step lets the developer review the proposed moves before changes are made.

Skill for Claude Code

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

Good fit Use it to identify what each test class covers, propose a file split, obtain confirmation, and move the test code without changing it.

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Install with agentmods
npx agentmods add skills/causify-ai/helpers/testing.move_test_code
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 causify-ai/helpers --skill testing.move_test_code
Clone the repo
git clone --depth 1 https://github.com/causify-ai/helpers

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 251 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 3
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 $0.00012 $0.00251
Opus 5.5 $0.00005 $0.00100
Sonnet 5.5 $0.00002 $0.00050
Haiku 4.5 $0.00001 $0.00025

Measured 1mo ago against content hash 7b4cefff04b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

testing.move_test_code 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 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.

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/testing.move_test_code/SKILL.md · 38 lines

What it actually says

Goal

  • The user passes a file with unit tests <TEST_FILE>

Workflow

Find Tested Functions

  • Find the functions that are tested in the file <TEST_FILE>
  • Prepare a plan that shows a mapping between
    • Test classes
    • The functions tested by each class
    • The file containing the tested functions

Propose Split Plan

  • Propose a plan to split the test classes in multiple files to match the code they test
    • E.g., Test_func1, testing the function func1 in funcs.py should go in test_funcs.py

Get User Confirmation

  • Ask the user to confirm the plan

Implement the Plan

  • Implement the plan moving the code without changing it

Important

  • For all the code you must follow the instructions in
    • .claude/skills/coding.rules.md
    • .claude/skills/testing.rules.md

Verification

  • Run the moved tests and confirm they still pass
  • Confirm no test logic changed during the move
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 Changed · +7 lines · -7 tokens per session 7b4cefff04b8
  2. 1mo ago First seen · 31 lines · 19 tokens per session scan A 4a09aeea92a5

Subscribe to this mod's changes

testing.move_test_code is a skill published in the GitHub repository causify-ai/helpers (150 stars, last pushed yesterday), licensed Apache-2.0. It adds 12 tokens to every session and 251 once invoked, about $0.0000 per session on Opus 5.5. 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.