Safe Code Changes with Grok (v1.6.1)
A rigorous, safety-first framework for planning and executing code changes in complex or production environments.
- Safely refactor legacy code with limited test coverage
- Prepare and execute high-stakes production hotfixes
- Map dependencies and hidden risks before modifying shared logic
$7
· or 35 creditsSecure checkout via Stripe
Included in download
- Safely refactor legacy code with limited test coverage
- Prepare and execute high-stakes production hotfixes
- terminal, file_read, file_write automation included
- Ready for TUI**.
Sample input
User request: "I want to extract the discount calculation logic from the monolithic OrderProcessor into a separate DiscountService."
Sample output
Generated Output (excerpt): ## Safe Change Plan **Change Description** Extract discount calculation logic from OrderProcessor into a new DiscountService. **Risk Classification** **High** — The discount logic is complex, touches financial calculations, and has limited test coverage. **Impact Analysis** - Modules affected: OrderProcessor, PricingService, multiple report generators - Business rules at risk: All discount rules and tax calculations - Current test coverage: ~35% of discount paths **Proposed Approach** - Strategy: Parallel Change (Expand/Contract) behind a feature flag - Smallest safe increment: Introduce new DiscountService and run it in shadow mode **Rollback Plan** - Disable the feature flag (instant rollback) - Revert to direct calls in OrderProcessor if issues appear **Verification Checkpoints** 1. New service produces identical results on 10,000 historical orders 2. Full test suite passes + manual QA on staging 3. 48-hour production canary at 10% traffic **Do Not Change** - Do not modify any tax calculation logic in this change - Do not touch the promotional engine
Safe Code Changes with Grok (v1.6.1)
A rigorous, safety-first framework for planning and executing code changes in complex or production environments.
$7
· or 35 creditsSecure checkout via Stripe
Included in download
- Safely refactor legacy code with limited test coverage
- Prepare and execute high-stakes production hotfixes
- terminal, file_read, file_write automation included
- Ready for TUI**.
- Instant install
Sample input
User request: "I want to extract the discount calculation logic from the monolithic OrderProcessor into a separate DiscountService."
Sample output
Generated Output (excerpt): ## Safe Change Plan **Change Description** Extract discount calculation logic from OrderProcessor into a new DiscountService. **Risk Classification** **High** — The discount logic is complex, touches financial calculations, and has limited test coverage. **Impact Analysis** - Modules affected: OrderProcessor, PricingService, multiple report generators - Business rules at risk: All discount rules and tax calculations - Current test coverage: ~35% of discount paths **Proposed Approach** - Strategy: Parallel Change (Expand/Contract) behind a feature flag - Smallest safe increment: Introduce new DiscountService and run it in shadow mode **Rollback Plan** - Disable the feature flag (instant rollback) - Revert to direct calls in OrderProcessor if issues appear **Verification Checkpoints** 1. New service produces identical results on 10,000 historical orders 2. Full test suite passes + manual QA on staging 3. 48-hour production canary at 10% traffic **Do Not Change** - Do not modify any tax calculation logic in this change - Do not touch the promotional engine
About This Skill
Stop Guessing and Start Engineering Safety
Making changes to production or legacy code is high-risk. While standard AI agents often dive straight into coding with optimistic assumptions, this skill enforces a rigorous, multi-phase safety discipline used by professional engineers at top-tier firms.
What it does
The skill transforms your agent into a risk-aware engineer that prioritizes system stability over speed. It implements a structured 5-phase workflow:
- Impact Analysis: Deep mapping of dependencies, call sites, and business logic before a single line is changed.
- Risk Classification: Categorizing changes from Low to Critical to determine the necessary level of caution.
- Rollback Planning: Mandatory creation of "exit strategies" for every modification.
- Verification Gates: Step-by-step implementation with mandatory write-then-read verification to ensure disk state matches intent.
Why it's better than standard prompting
Standard prompts often overlook "unknown unknowns" or fail to verify if a file write actually succeeded. This skill forces the agent to identify invisible risks (like shared state or low test coverage) and uses a strict verification protocol—reading files back after writing to ensure zero corruption or stale cache issues. It effectively acts as a safety harness for your codebase, making it safe to refactor even the most "fragile" systems.
Use Cases
- Safely refactor legacy code with limited test coverage
- Prepare and execute high-stakes production hotfixes
- Map dependencies and hidden risks before modifying shared logic
- Implement Parallel Change/Expand-Contract patterns for zero downtime
Known Limitations
- Best for files visible in project context; may miss remote environment side effects. - Verification gates add execution time to workflows. - Relies on tool-based file access to work optimally.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/safe-code-changes-with-grok -o /tmp/safe-code-changes-with-grok.zip && unzip -o /tmp/safe-code-changes-with-grok.zip -d ~/.claude/skills && rm /tmp/safe-code-changes-with-grok.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Permissions
File Scopes
This is a high-responsibility skill. While it has write access, it is deliberately structured to force thorough risk analysis, impact mapping, and rollback planning before any code is modified. The skill should never be used to bypass safety processes. This is one of the highest-risk skills in the library for file operations. It is therefore expected to make heavy use of the Direct File Writing with Grok primitive during the implementation phase. environment_variables: - "VERIFY_AFTER_WRITE — Force immediate verification after every file write." - "PREFER_PRIMARY_TREE — Prefer the canonical primary worktree for all writes." - "CHECK_VERSION_BEFORE_WRITE — Read frontmatter version before editing skill files." - "STRICT_WRITE_VERIFICATION — Fail the operation if post-write verification does not match the approved content."
This skill is specifically optimized for **Grok** inside the **Grok Build CLI / TUI**.