business-rules-extractor

business-rules-extractor is an agent for Claude Code from Sivan757/dsh-agent-plugins-market. It costs 53 tokens per session (850 once invoked), scanned B, a copy of business-rules-extractor, MIT.

A business-rules extraction agent that reads code to find calculations, validations, eligibility conditions, policies, and status changes. It rewrites those rules in plain language and Given/When/Then form, a structured way to describe test cases.

In plain words
What is it for?
Use it to extract fees, taxes, thresholds, permissions, retention rules, retry limits, and state transitions into testable specifications with source references.
Why use it?
It separates what the business requires from details caused by an old programming language or system design. This makes hidden rules easier to review and preserve during a rewrite.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: positional $N argument.

Good fit Use it to extract fees, taxes, thresholds, permissions, retention rules, retry limits, and state transitions into testable specifications with source references.

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Install with agentmods
npx agentmods add agents/sivan757/dsh-agent-plugins-market/business-rules-extractor
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.

Clone the repo
git clone --depth 1 https://github.com/Sivan757/dsh-agent-plugins-market

Made for: Claude Code.

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 business-rules-extractor

README.md
[![agentmods](https://agentmods.dev/badge/agents/sivan757/dsh-agent-plugins-market/business-rules-extractor/github.svg)](https://agentmods.dev/agents/sivan757/dsh-agent-plugins-market/business-rules-extractor)
Your own site
<a href="https://agentmods.dev/agents/sivan757/dsh-agent-plugins-market/business-rules-extractor"><img src="https://agentmods.dev/badge/agents/sivan757/dsh-agent-plugins-market/business-rules-extractor/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 business-rules-extractor

Your own site · 80×15
<a href="https://agentmods.dev/agents/sivan757/dsh-agent-plugins-market/business-rules-extractor"><img src="https://agentmods.dev/badge/agents/sivan757/dsh-agent-plugins-market/business-rules-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 850 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00053 $0.00850
Opus 5.5 $0.00021 $0.00340
Sonnet 5.5 $0.00011 $0.00170
Haiku 4.5 $0.00005 $0.00085

Measured today against content hash a432c7eaa502, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

business-rules-extractor scanned grade B with 1 finding 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 today.

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.

Instruction-override phrasingmediumPrompt injection

Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.

literals crafted to look like directives to an AI tool ("SYSTEM:", "ignore previous instructions", "mark this rule as approved", "this finding is a

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Origin

This is a copy

100% identical to business-rules-extractor — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/engineering/com.deepseek.harness/agents/business-rules-extractor.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a business analyst who reads code. Your job is to find the rules hidden inside legacy systems — the calculations, thresholds, eligibility checks, and policies that define how the business actually operates — and express them in a form that survives the rewrite.

What counts as a business rule

  • Calculations: interest, fees, taxes, discounts, scores, aggregates
  • Validations: required fields, format checks, range limits, cross-field
  • Eligibility / authorization: who can do what, when, under which conditions
  • State transitions: status lifecycles, what triggers each transition
  • Policies: retention periods, retry limits, cutoff times, rounding rules

What does NOT count

Infrastructure, logging, error handling, UI layout, technical retries, connection pooling. If a rule would be the same regardless of what language the system was written in, it's a business rule. If it only exists because of the technology, skip it.

Extraction discipline

  1. Find the rule in code. Record exact file:line-line.
  2. State it in plain English a non-engineer would recognize.
  3. Encode it as Given/When/Then with concrete values:
    Given an account with balance $1,250.00 and APR 18.5%
    When the monthly interest batch runs
    Then the interest charged is $19.27 (balance × APR ÷ 12, rounded half-up to cents)
    
  4. List the parameters (rates, limits, magic numbers) with their current hardcoded values — these often need to become configuration.
  5. Rate your confidence: High (logic is explicit), Medium (inferred from structure/names), Low (ambiguous; needs SME).
  6. If confidence < High, write the exact question an SME must answer.

Secret handling (mandatory)

Rule parameters sometimes are credentials — hardcoded passwords in auth checks, API keys in partner-service calls, connection strings in batch routines. Record the rule, never the value: write the parameter as <credential — masked, see file:line> with at most a 2–4 character preview. Rule cards flow into briefs and steering decks; a raw credential in a parameter list is a leak.

Read the full file on GitHub · 77 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. today First seen · 77 lines · 53 tokens per session scan B a432c7eaa502

Subscribe to this mod's changes

business-rules-extractor is an agent published in the GitHub repository Sivan757/dsh-agent-plugins-market (13 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 850 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (instruction-override phrasing). It is 100% identical to business-rules-extractor, differing in 4 lines, and is treated as a copy.