typed-holes-refactor

typed-holes-refactor is a skill for Claude Code, Codex from rand/cc-polymath. It costs 57 tokens per session (5,361 once invoked), scanned B, original, MIT.

A method for refactoring existing code by treating unclear design decisions as questions to resolve one at a time. It uses tests to check that the code still behaves correctly during the changes.

In plain words
What is it for?
Use it to plan and carry out large refactors, improve architecture, consolidate duplicated or outdated code, and verify public APIs remain compatible.
Why use it?
It gives a structured way to reduce technical debt without losing existing behaviour. It also makes unknowns, constraints, and dependencies visible before changes are made.

Skill for Claude CodeCodex

Part of the cc-polymath plugin — 26 skills, 1 command, 4 agents shipped together

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 skills/rand/cc-polymath/typed-holes-refactor
Any agent
npx skills add rand/cc-polymath --skill typed-holes-refactor
Clone the repo
git clone --depth 1 https://github.com/rand/cc-polymath

Made for: Claude Code, Codex.

Or install cc-polymath, the plugin that ships this one along with the rest of its 26 skills, 1 command, 4 agents.

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 typed-holes-refactor

README.md
[![agentmods](https://agentmods.dev/badge/skills/rand/cc-polymath/typed-holes-refactor.svg)](https://agentmods.dev/skills/rand/cc-polymath/typed-holes-refactor)
Your own site
<a href="https://agentmods.dev/skills/rand/cc-polymath/typed-holes-refactor"><img src="https://agentmods.dev/badge/skills/rand/cc-polymath/typed-holes-refactor.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,361 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00057 $0.05361
Opus 5 $0.00028 $0.02681
Sonnet 5 $0.00011 $0.01072
Haiku 4.5 $0.00006 $0.00536

Measured 5d ago against content hash 55f9ac49ac51, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

typed-holes-refactor 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 5d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (scripts/check_completeness.py, scripts/check_discovery.py, scripts/check_foundation.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Unrestricted tool accessmediumExcessive agency

A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.

Run any script with `--help` for detailed usage.
skills/typed-holes-refactor/SKILL.md · 764 lines

How it starts

The opening of the file, as written. The whole thing — 764 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Typed Holes Refactoring

Systematically refactor codebases using the Design by Typed Holes meta-framework: treat architectural unknowns as typed holes, resolve them iteratively with test-driven validation, and propagate constraints through dependency graphs.

Core Workflow

Phase 0: Hole Discovery & Setup

1. Create safe working branch:

git checkout -b refactor/typed-holes-v1
# CRITICAL: Never work in main, never touch .beads/ in main

2. Analyze current state and identify holes:

python scripts/discover_holes.py
# Creates REFACTOR_IR.md with hole catalog

The Refactor IR documents:

  • Current State Holes: What's unknown about the current system?
  • Refactor Holes: What needs resolution to reach the ideal state?
  • Constraints: What must be preserved/improved/maintained?
  • Dependencies: Which holes block which others?

3. Write baseline characterization tests:

Create tests/characterization/ to capture exact current behavior:

# tests/characterization/test_current_behavior.py
def test_api_contracts():
    """All public APIs must behave identically post-refactor"""
    for endpoint in discover_public_apis():
        old_result = run_current(endpoint, test_inputs)
        save_baseline(endpoint, old_result)

def test_performance_baselines():
    """Record current performance - don't regress"""
    baselines = measure_all_operations()
    save_json("baselines.json", baselines)

Run tests on main branch - they should all pass. These are your safety net.

Phase 1-N: Iterative Hole Resolution

For each hole (in dependency order):

1. Select next ready hole:

python scripts/next_hole.py
# Shows holes whose dependencies are resolved

2. Write validation tests FIRST (test-driven):

# tests/refactor/test_h{N}_resolution.py
def test_h{N}_resolved():
    """Define what 'resolved correctly' means"""
    # This should FAIL initially
    assert desired_state_achieved()

def test_h{N}_equivalence():
    """Ensure no behavioral regressions"""
    old_behavior = load_baseline()
    new_behavior = run_refactored()
    assert old_behavior == new_behavior

Read the full file on GitHub · 764 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. 5d ago First seen · 764 lines · 57 tokens per session scan B 55f9ac49ac51

Subscribe to this mod's changes

typed-holes-refactor is a skill published in the GitHub repository rand/cc-polymath (140 stars, last pushed 6mo ago), licensed MIT. It adds 57 tokens to every session and 5,361 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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