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.
npx agentmods add commands/claude-code-community-ireland/claude-code-resources/refactorgit clone --depth 1 https://github.com/Claude-Code-Community-Ireland/claude-code-resourcesWrote 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.
[](https://agentmods.dev/commands/claude-code-community-ireland/claude-code-resources/refactor)<a href="https://agentmods.dev/commands/claude-code-community-ireland/claude-code-resources/refactor"><img src="https://agentmods.dev/badge/commands/claude-code-community-ireland/claude-code-resources/refactor.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00014 | $0.00349 |
| Opus 5 | $0.00007 | $0.00175 |
| Sonnet 5 | $0.00003 | $0.00070 |
| Haiku 4.5 | $0.00001 | $0.00035 |
Grade A, and why
refactor 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 3d 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.
What it actually says
Refactor Workflow
You are performing a safe, verified refactoring of code.
Steps
-
Identify the target: Read
$ARGUMENTSto understand what to refactor.- If a file path: Refactor that specific file
- If a code smell name: Find and address that smell across the codebase
- If a module name: Refactor the module's structure
- If empty: Ask the user what to refactor
-
Check test coverage: Before any refactoring, verify tests exist for the target code:
Run the test suite to confirm current tests pass. Check for test files corresponding to the target code.If test coverage is insufficient, warn the user and offer to write characterization tests first.
-
Launch the refactorer: Use the Task tool to spawn the
refactoreragent with:Refactor the following code: Target: $ARGUMENTS Test status: [passing/failing/missing]
Follow the refactoring protocol: verify tests, identify code smells, plan transformations, execute one at a time with test verification after each step. Name every transformation applied.
-
Verify: Run the full test suite after all transformations to confirm no regressions.
-
Report: List all named transformations applied, before/after summary, and test results.
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.
- 3d ago First seen · 37 lines · 14 tokens per session scan A 3f7c216f4e9d
refactor is a command published in the GitHub repository Claude-Code-Community-Ireland/claude-code-resources (10 stars, last pushed 3mo ago), licensed MIT. It adds 14 tokens to every session and 349 once invoked, about $0.0001 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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checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.