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/lugassawan/swe-workbench/refactorgit clone --depth 1 https://github.com/lugassawan/swe-workbenchWhat 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 | $0.00438 |
| Opus 5 | $0.00007 | $0.00219 |
| Sonnet 5 | $0.00003 | $0.00088 |
| Haiku 4.5 | $0.00001 | $0.00044 |
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 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.
What it actually says
Target: $ARGUMENTS
If $ARGUMENTS contains a ticket reference, invoke swe-workbench:ticket-context first and prepend its structured summary to the delegation context below. Skip if $ARGUMENTS is free-text with no recognizable ref. (Trigger patterns are defined in that skill's "When to invoke" section.)
Delegate to the swe-workbench:refactorer subagent. Its output must include:
- Diagnosis — which smell is present (Long Method, Feature Envy, Primitive Obsession, Shotgun Surgery, Divergent Change, etc.) and why it hurts.
- Target state — the shape of the code after refactoring, referenced to Fowler's catalog.
- Step plan — ordered steps, each behavior-preserving and independently testable, each named from the catalog (Extract Function, Move Function, Replace Conditional with Polymorphism, Introduce Parameter Object…).
- Verification — which tests protect each step; write characterization tests first if coverage is missing.
Absolute rule: no feature changes during refactoring.
Plan output: If you (the orchestrator) author a plan based on the subagent's response and that plan modifies the codebase (fix / make / implement) — whether saved to a plan file or passed to ExitPlanMode — first activate swe-workbench:workflow-development in Mode A and embed the rendered ## Workflow section in the plan per skills/workflow-development/templates/plan-workflow-section.md. Run the skill's project-detection (git branch -a, git log --oneline -20, Makefile grep, PR-template lookup) so the placeholders are substituted from this repo, not left as [[detect:…]]. Skip Mode A if the plan is pure analysis, design recommendation, or any output that does not introduce file edits — the Workflow section's phases (Branch / Verify / Deliver) do not apply.
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.
- 2d ago First seen · 20 lines · 14 tokens per session scan A 6ecea24ad1ad
refactor is a command published in the GitHub repository lugassawan/swe-workbench (2 stars, last pushed 2d ago), licensed MIT. It adds 14 tokens to every session and 438 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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