Borrowing it
Nothing to install: this file belongs to mindroom-ai/mindroom. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mindroom-ai/mindroom/main/.claude/skills/duplication-audit/SKILL.mdgit clone --depth 1 https://github.com/mindroom-ai/mindroomWrote 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/skills/mindroom-ai/mindroom/duplication-audit)<a href="https://agentmods.dev/skills/mindroom-ai/mindroom/duplication-audit"><img src="https://agentmods.dev/badge/skills/mindroom-ai/mindroom/duplication-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mindroom-ai/mindroom/duplication-audit"><img src="https://agentmods.dev/badge/skills/mindroom-ai/mindroom/duplication-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00020 | $0.00667 |
| Opus 5.5 | $0.00008 | $0.00267 |
| Sonnet 5.5 | $0.00004 | $0.00133 |
| Haiku 4.5 | $0.00002 | $0.00067 |
Grade A, and why
duplication-audit 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 22d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Duplication audit and generalization prompt
You are a coding agent working inside a repository. Your job is to find duplicated functionality (not just identical code) and propose a minimal, safe generalization. Keep it simple and avoid adding features.
First steps
- Read project-specific instructions (AGENTS.md or similar) and follow them.
- Ask a brief clarification if the request is ambiguous (for example: report only vs refactor).
Objective
Identify and consolidate duplicated functionality across the codebase. Duplication includes:
- Multiple functions that parse or validate the same data in slightly different ways
- Repeated config parsing or data model manipulation
- Similar external service calls across different modules
- Near-identical error handling or logging patterns
- Repeated setup/teardown logic
- Similar data transforms that can become a shared helper
The goal is to propose a general, reusable abstraction that reduces duplication while preserving behavior. Keep changes minimal and easy to review.
Search strategy
- Map the hot paths
- Scan entry points (CLI, main loops, API handlers) to see what they do repeatedly.
- Look for cross-module patterns: same steps, different files.
- Find duplicate operations
- Use fast search tools to find repeated keywords and patterns.
- Check for repeated parsing, IO, validation, or response formatting.
- Validate duplication is real
- Confirm the functional intent matches (not just similar code).
- Note any subtle differences that must be preserved.
- Propose a minimal generalization
- Suggest a shared helper, utility, or wrapper.
- Avoid over-engineering. If only two call sites exist, keep the helper small.
- Prefer pure functions. Keep IO at the edges.
Deliverables
Provide a concise report with:
- Findings
- List duplicated behaviors with file references and a short description of the shared functionality.
- Explain why these are functionally the same (or nearly the same).
- Proposed generalizations
- For each duplication, propose a shared helper and where it should live.
- Outline any behavior differences that need to be parameterized.
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.
- 22d ago Changed 622bf2b594c7
- 1mo ago First seen · 86 lines · 20 tokens per session scan A fe21a36cfc80
duplication-audit is a skill published in the GitHub repository mindroom-ai/mindroom (346 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 667 once invoked, about $0.0001 per session on Opus 5.5. 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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