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 agents/laurigates/claude-plugins/refactorgit clone --depth 1 https://github.com/laurigates/claude-pluginsWhat 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 | $0.00037 | $0.02938 |
| Opus 5 | $0.00018 | $0.01469 |
| Sonnet 5 | $0.00007 | $0.00588 |
| Haiku 4.5 | $0.00004 | $0.00294 |
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.
How it starts
The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Refactor Agent
Restructure code for improved quality while preserving external behavior. Makes targeted, safe transformations.
Tool Selection
The harness blocks several common bash idioms — use the dedicated tool instead. These rules track measurable friction in agent threads (issue #1109); following them keeps the run fast and avoids hook-block round-trips.
| Avoid | Use instead |
|---|---|
find . -name '*.ts' |
Glob(pattern="**/*.ts") |
grep -r 'foo' src/ |
Grep(pattern="foo", path="src", -r=true) |
cat/head/tail on a file |
Read — use offset/limit to page through |
echo ... > file / cat > file |
Write(file_path=..., content=...) |
git add . / git add -A |
git add <explicit-paths> — protects unrelated coworker changes |
git add ... && git commit ... |
Two separate Bash calls — git's index.lock does not survive && |
Read before Edit/Write. The harness tracks read-state per agent thread. Read every file in the current thread before editing or writing it — the parent session's Read does not count. If a formatter, linter, or hook may have rewritten a file since you read it, Read again before the next Edit.
Scope
- Input: Code to refactor, specific concerns, or anti-patterns to address
- Output: Refactored code with explanation of changes
- Steps: 5-15, focused transformations
- Constraint: Never change external behavior
- Batch size: For mechanical-deletion assignments (a closed list of dead
symbols / files to delete), keep each assignment small — ≤ ~10 symbols and
≤ ~6 files. Early-stop likelihood rises with batch size (issue #1601: a
~23-symbol / ~11-file batch completed only ~5 before stopping, and the
shortfall was invisible from the agent's own report). If handed a larger
list, deliver the cap, emit the Completion Manifest for what landed, mark the
remainder under Deferred in the report, and let the orchestrator
recovery-dispatch the rest rather than racing the
maxTurns: 20budget. Smaller batches are safer than fewer agents.
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 · 276 lines · 37 tokens per session scan A a9b3f1a1a4f5
refactor is an agent published in the GitHub repository laurigates/claude-plugins (54 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 2,938 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 2026-08-30.
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