safe-code-change

A testing guide for code that has already been changed.

In plain words
What is it for?
Use it after a code change to identify related tests, shared helpers, fixtures, and documented data shapes, then update tests where the intended behavior is clear.
Why use it?
It finds tests affected by the new behavior and helps keep their expectations accurate without changing production code.

Skill for Claude CodeCodexCursor

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.

agentmods
npx agentmods add skills/openshift/lightspeed-agentic-operator/safe-code-change
Any agent
npx skills add openshift/lightspeed-agentic-operator --skill safe-code-change
Clone the repo
git clone --depth 1 https://github.com/openshift/lightspeed-agentic-operator

Made for: Claude Code, Codex, Cursor.

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 809 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00049 $0.00809
Opus 5 $0.00024 $0.00404
Sonnet 5 $0.00010 $0.00162
Haiku 4.5 $0.00005 $0.00081

Measured 2d ago against content hash 11daf7061d0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

safe-code-change 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 2d 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.

.cursor/skills/safe-code-change/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Safe Code Change

After a code change is made, find and fix affected tests before running validation.

Rules

  • The code change is already done. Do not modify production code.
  • Only update tests to match the new behavior, not the other way around.
  • Do not reformat or lint-fix during test updates. Save that for validation.
  • If a test change is ambiguous (unclear what the new expected behavior is), ask the user.

Step 1: Identify What Changed

git diff --name-only
git diff --stat

List the modified production files (ignore test files, configs, docs).

Step 2: Find Affected Tests

Search for imports and uses of changed functions/types across all test files:

# Find test files that import the changed package
rg "github.com/openshift/lightspeed-agentic-operator/<changed_package>" --type go -g '*_test.go'

# Find direct function/type references
rg "<ChangedFunctionOrType>" --type go -g '*_test.go'

For controller or CLI changes, also check:

  • Shared test helpers or fixtures under the same package
  • examples/ YAMLs only if behavior affects documented shapes (usually not test code)

Step 3: Analyze Impact on Tests

For each affected test file, check whether the change breaks existing tests:

  1. Signature changes — function renamed, parameters added/removed/reordered.
  2. Behavior changes — return value, error messages, side effects differ.
  3. Removed code — tests for deleted functions/types need removal.
  4. New code — consider whether new tests are needed (ask user if unclear).
  5. Interface changes — mock implementations need updating.

Step 4: Update Tests

Apply minimal fixes to each affected test:

For Ginkgo Tests (if present):

  • Update Expect() assertions to match new return values
  • Update mock return values in test fixtures
  • Add/remove parameters in function calls
  • Update error message checks
  • Adjust Eventually() timeouts if reconciliation logic changed

For Standard Go Tests (typical in this repo):

Read the full file on GitHub · 109 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. 2d ago First seen · 109 lines · 49 tokens per session scan A 11daf7061d0f

Subscribe to this mod's changes

safe-code-change is a skill published in the GitHub repository openshift/lightspeed-agentic-operator (10 stars, last pushed 2d ago), licensed Apache-2.0. It adds 49 tokens to every session and 809 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 2026-08-31.

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