use-table-driven-rules

use-table-driven-rules is a skill for Claude Code from jimmc414/claude-code-plugin-marketplace. It costs 33 tokens per session (710 once invoked), scanned A, original, MIT.

A coding pattern that stores rules in lookup tables or other data structures instead of long conditional chains.

In plain words
What is it for?
Use it for configuration-driven behavior, simplification rules, lookup logic, or state machines.
Why use it?
It makes changing, reviewing, and extending rule-based behavior easier when many cases are involved.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the norvig-patterns plugin — 54 skills shipped together

Good fit Use it for configuration-driven behavior, simplification rules, lookup logic, or state machines.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jimmc414/claude-code-plugin-marketplace/use-table-driven-rules
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 jimmc414/claude-code-plugin-marketplace --skill use-table-driven-rules
Clone the repo
git clone --depth 1 https://github.com/jimmc414/claude-code-plugin-marketplace

Made for: Claude Code.

Or install norvig-patterns, the plugin that ships this one along with the rest of its 54 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 use-table-driven-rules

README.md
[![agentmods](https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/use-table-driven-rules/github.svg)](https://agentmods.dev/skills/jimmc414/claude-code-plugin-marketplace/use-table-driven-rules)
Your own site
<a href="https://agentmods.dev/skills/jimmc414/claude-code-plugin-marketplace/use-table-driven-rules"><img src="https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/use-table-driven-rules/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 use-table-driven-rules

Your own site · 80×15
<a href="https://agentmods.dev/skills/jimmc414/claude-code-plugin-marketplace/use-table-driven-rules"><img src="https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/use-table-driven-rules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 710 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.
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 $0.00033 $0.00710
Opus 5.5 $0.00013 $0.00284
Sonnet 5.5 $0.00007 $0.00142
Haiku 4.5 $0.00003 $0.00071

Measured 1mo ago against content hash 60b219bf5248, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

use-table-driven-rules 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/norvig-patterns/skills/use-table-driven-rules/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

use-table-driven-rules

When to Use

  • Many special cases (simplification rules)
  • Configuration-driven behavior
  • Lookup tables
  • State machines
  • Rules that change frequently
  • Making rules visible/maintainable

When NOT to Use

  • Few simple cases (use if-elif)
  • Rules require complex logic
  • Order of evaluation matters in complex ways

The Pattern

Store rules in data structures instead of code.

# Instead of:
def simplify(expr):
    if expr == ('+', 0, x): return x
    if expr == ('+', x, 0): return x
    if expr == ('*', 1, x): return x
    ...

# Use table:
simp_rules = {
    ('+', 0, 'x'): 'x',
    ('+', 'x', 0): 'x',
    ('*', 1, 'x'): 'x',
    ('*', 'x', 1): 'x',
    ('*', 0, 'x'): 0,
}

def simplify(expr):
    pattern = generalize(expr)  # Convert to pattern form
    if pattern in simp_rules:
        return instantiate(simp_rules[pattern], expr)
    return expr

Example (from pytudes)

# Simplification table (Differentiation.ipynb)
simp_table = {
    sin(0): 0,
    sin(pi): 0,
    sin(pi/2): 1,
    cos(0): 1,
    cos(pi): -1,
    cos(pi/2): 0,
    tan(0): 0,
    ln(1): 0,
    ln(e): 1,
}

def simp(y):
    """Simplify expression using table and rules."""
    if y in simp_table:
        return simp_table[y]
    # ... additional simplification logic

# Direction vectors (AdventUtils.ipynb)
arrow_direction = {
    '^': (0, -1),  # North
    'v': (0, 1),   # South
    '>': (1, 0),   # East
    '<': (-1, 0),  # West
    '.': (0, 0),   # Stay
}

def move(pos, arrow):
    dx, dy = arrow_direction[arrow]
    return (pos[0] + dx, pos[1] + dy)

# Factor multipliers (pal2.py)
factor = {'left': +1, 'right': -1}

def add_word(self, direction, word):
    self.diff += factor[direction] * len(word)

# Lisp operations (lis.py)
env = {
    '+': op.add,
    '-': op.sub,
    '*': op.mul,
    '/': op.truediv,
}

Key Principles

  1. Data over code: Rules as dict entries, not if statements
  2. Easy to extend: Adding rule = adding dict entry
  3. Visible rules: Can print/inspect the table
  4. Consistent lookup: All rules checked same way
  5. Fallback logic: Handle missing keys gracefully

Read the full file on GitHub · 105 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 · 105 lines · 33 tokens per session scan A 60b219bf5248

Subscribe to this mod's changes

use-table-driven-rules is a skill published in the GitHub repository jimmc414/claude-code-plugin-marketplace (4 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 710 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 2026-09-04.

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