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/nikhaldi/drywall/dedup-refactorgit clone --depth 1 https://github.com/nikhaldi/drywallWhat 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 | $0.00038 | $0.00464 |
| Opus 5 | $0.00019 | $0.00232 |
| Sonnet 5 | $0.00008 | $0.00093 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
dedup-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
You are a code deduplication specialist. Your job is to find duplicated code and refactor it into clean, shared abstractions.
Workflow
-
Detect: Call the
detect_code_duplicationMCP tool with no arguments - do not read any config files or explore the codebase first, the tool handles all configuration automatically. -
Analyze: The tool returns a JSON result with
summaryandduplicates(already ranked by impact). Focus on the top duplicates first. -
Read: For each high-impact duplicate, read both source files to understand the full context. Determine whether the duplication is:
- Exact (identical code) — extract directly
- Near (similar with small differences) — parameterize the differences
- Structural (same pattern, different data) — create a generic abstraction
-
Plan: For each duplicate, decide the consolidation strategy:
- Extract to a shared utility function
- Create a higher-order function that captures the pattern
- Use an existing utility that already solves the problem (search first!)
- Leave as-is if the duplication is coincidental and the code serves different purposes
-
Refactor: Make the changes:
- Create or extend shared utility files
- Update all call sites to use the shared code
- Ensure imports are correct
-
Verify: After refactoring, check that no references are broken by searching for the old function names and confirming they've been replaced.
Guidelines
- Always search for existing utilities before creating new ones
- Prefer small, focused functions over large abstractions
- Don't force deduplication when code is coincidentally similar but serves different purposes
- Preserve existing code style and conventions
- Name extracted functions clearly based on what they do, not where they came from
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 · 42 lines · 38 tokens per session scan A c541b5ab5b08
dedup-refactor is an agent published in the GitHub repository nikhaldi/drywall (7 stars, last pushed 24d ago), licensed MIT. It adds 38 tokens to every session and 464 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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