semantic-duplication-scan

semantic-duplication-scan is a skill for Claude Code from bdfinst/agentic-dev-team. It costs 97 tokens per session (2,884 once invoked), scanned A, original, MIT.

A code-analysis workflow that records non-trivial business calculations and looks for equivalent logic in different architectural layers. Architectural layers are separate parts of an application, such as domain services, adapters, and user-interface code.

In plain words
What is it for?
Use it to scan a repository, maintain a computation register, and report likely duplicate business calculations with their source locations.
Why use it?
It can reveal when the same business rule has been implemented more than once, even when the code looks different. This helps avoid inconsistent fixes and duplicated domain logic.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the dev-team plugin — 98 skills, 54 agents, 4 hooks shipped together

Good fit Use it to scan a repository, maintain a computation register, and report likely duplicate business calculations with their source locations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bdfinst/agentic-dev-team/semantic-duplication-scan
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.

Any agent
npx skills add bdfinst/agentic-dev-team --skill semantic-duplication-scan
Clone the repo
git clone --depth 1 https://github.com/bdfinst/agentic-dev-team

Made for: Claude Code.

Or install dev-team, the plugin that ships this one along with the rest of its 98 skills, 54 agents, 4 hooks.

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 semantic-duplication-scan

README.md
[![agentmods](https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/semantic-duplication-scan/github.svg)](https://agentmods.dev/skills/bdfinst/agentic-dev-team/semantic-duplication-scan)
Your own site
<a href="https://agentmods.dev/skills/bdfinst/agentic-dev-team/semantic-duplication-scan"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/semantic-duplication-scan/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.

agentmods 80×15 button for semantic-duplication-scan

Your own site · 80×15
<a href="https://agentmods.dev/skills/bdfinst/agentic-dev-team/semantic-duplication-scan"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/semantic-duplication-scan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,884 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 186
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 5.1 $0.00097 $0.02884
Opus 5.5 $0.00039 $0.01154
Sonnet 5.5 $0.00019 $0.00577
Haiku 4.5 $0.00010 $0.00288

Measured 1mo ago against content hash 01be0951f64c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

semantic-duplication-scan 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 1mo 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.

plugins/dev-team/skills/semantic-duplication-scan/SKILL.md · 338 lines

How it starts

The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Semantic Duplication Scan

Overview

Detect business logic that has been reimplemented multiple times across different architectural layers. Unlike linters (which detect syntactic similarity) or domain-review (which catches single-instance layer violations), this skill detects semantic equivalence — the same domain calculation independently appearing in domain services, client adapters, and presentation components with different variable names and structure.

Annotation Prompt Version

promptVersion: 1.0

When this version changes, any register entry with a different promptVersion is treated as stale and re-annotated on the next scan pass that touches that file.


Pre-Filter Rules

Apply before any LLM call. No model invocation at this stage.

Trivial Function Definition

A function is trivial — and must be excluded from the register — if it meets ALL of the following:

  • Contains no arithmetic operators: +, -, *, /, %, **
  • Contains no boolean logic operators: &&, ||, !, not, and, or
  • Contains no branching constructs: if, else, switch, case, ternary (?:), match
  • Contains no assignments to variables outside its own scope (no external state mutation)
  • Contains no calls to higher-order collection operations: map, filter, reduce, flatMap, forEach, find, some, every, or language equivalents

Trivial patterns (always excluded):

  • Getters: read and return a field with no transformation
  • Pass-through delegators: call one function with the same arguments, return the result unchanged
  • Identity functions: return the input unchanged
  • Constructors / initializers that only assign parameters to instance fields

If a file contains only trivial functions, output:

No computation units found to analyze

and do not create or modify the register.

File Exclusion Patterns

Exclude the following from annotation regardless of content:

*.test.*
*.spec.*
__tests__/
*.test-d.*
*.generated.*
*.pb.*
*.d.ts
dist/
build/
.next/
coverage/

Read the full file on GitHub · 338 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. 1mo ago First seen · 338 lines · 97 tokens per session scan A 01be0951f64c

Subscribe to this mod's changes

semantic-duplication-scan is a skill published in the GitHub repository bdfinst/agentic-dev-team (295 stars, last pushed 4d ago), licensed MIT. It adds 97 tokens to every session and 2,884 once invoked, about $0.0004 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 2026-09-03.

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