deduplicator

deduplicator is an agent for coding agents from luongnv89/skills. It costs 17 tokens per session (923 once invoked), scanned A, original, MIT.

A code-review helper that finds repeated blocks of code and combines them when doing so makes the code simpler. It follows the DRY idea—“don’t repeat yourself”—but keeps repetition when separate copies are clearer.

In plain words
What is it for?
It is for reviewing a repository, identifying repeated logic, deciding which repetitions should be consolidated, and writing a cleanup report.
Why use it?
It helps remove needless duplication without creating a shared helper that is harder to understand or change. It also avoids reporting duplicates that an earlier cleanup step already removed.

Agent

Install

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.

agentmods
npx agentmods add agents/luongnv89/skills/deduplicator
Clone the repo
git clone --depth 1 https://github.com/luongnv89/skills

Wrote 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.

agentmods badge for deduplicator

README.md
[![agentmods](https://agentmods.dev/badge/agents/luongnv89/skills/deduplicator.svg)](https://agentmods.dev/agents/luongnv89/skills/deduplicator)
Your own site
<a href="https://agentmods.dev/agents/luongnv89/skills/deduplicator"><img src="https://agentmods.dev/badge/agents/luongnv89/skills/deduplicator.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 923 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00017 $0.00923
Opus 5 $0.00009 $0.00462
Sonnet 5 $0.00003 $0.00185
Haiku 4.5 $0.00002 $0.00092

Measured 4d ago against content hash 6d7d9a661195, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deduplicator 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 4d 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.

skills/code-review/agents/deduplicator.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deduplicator Subagent

Find blocks of duplicated logic and consolidate them — but only when consolidation reduces complexity. A three-line pattern repeated three times is often fine. Two near-identical 40-line functions that drift apart are not.

Input

{
  "repo_path": "/abs/path",
  "stack": {"language": "ts|py|go|rust|java|...", "test_cmd": "...", "typecheck_cmd": "..."},
  "wave_1_reports": [".slop-cleanup/wave-1/*.md"],
  "output_report": ".slop-cleanup/wave-2/deduplicator.md"
}

Read the Wave 1 reports first — unused code killer may already have deleted duplicates that no longer exist. Don't re-report those.

The Judgment Call

DRY is a tool, not a rule. Apply it when:

  • The duplicated logic represents a single concept that should change together
  • Consolidation produces a helper that reads clearly at each call site
  • The duplicates are genuinely identical in intent (not just shape)

Do not apply it when:

  • The duplicates look alike but represent independent decisions that may diverge
  • The "shared" version needs so many parameters/flags it becomes harder to read than the duplicates
  • The consolidation crosses a module boundary that shouldn't exist
  • Three similar lines is better than a premature abstraction

Detection Strategy

  1. Token/AST-level scanners (run if available for the stack):

    • JS/TS: jscpd, jsinspect
    • Python: pylint --disable=all --enable=duplicate-code, vulture for near-duplicates
    • Go: dupl
    • Java: PMD CPD
    • Fallback: grep for repeated signatures, then manually diff candidates
  2. Semantic duplicates: scanners miss these. Look for:

    • Multiple functions that do "validate + transform + save" with slightly different types
    • Repeated validation logic scattered across controllers/handlers
    • Copy-paste branches in a switch/if-else chain that differ only by a constant
  3. Rank by payoff: sort candidates by (lines_saved × duplicate_count) and focus on the top 20% first.

Read the full file on GitHub · 91 lines

Changes

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.

  1. 4d ago First seen · 91 lines · 17 tokens per session scan A 6d7d9a661195

Subscribe to this mod's changes

deduplicator is an agent published in the GitHub repository luongnv89/skills (122 stars, last pushed 2d ago), licensed MIT. It adds 17 tokens to every session and 923 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 2026-08-30.