dancing-bear: Skill for Claude Code

.claude/skills/optimize-code-reuse/SKILL.md

optimize-code-reuse is a skill for Claude Code from dancing-bear-show/dancing-bear. It costs 42 tokens per session (860 once invoked), scanned A, original, MIT.

A code-reuse review workflow that looks for repeated utilities, constants, and domain logic in different places. It suggests or applies shared helpers so the same behavior is not maintained multiple times.

In plain words
What is it for?
Use it after adding a feature, before a pull request, or when similar functions appear in several files. It checks the relevant source and test areas and can extract shared code.
Why use it?
Duplicate code causes fixes to be repeated and allows similar parts of a codebase to drift apart. Consolidating it can make later changes more consistent.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is dancing-bear-show/dancing-bear's own configuration. It tells Claude Code how to work on dancing-bear itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dancing-bear configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dancing-bear-show/dancing-bear. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dancing-bear-show/dancing-bear/main/.claude/skills/optimize-code-reuse/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dancing-bear-show/dancing-bear

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 optimize-code-reuse

README.md
[![agentmods](https://agentmods.dev/badge/skills/dancing-bear-show/dancing-bear/optimize-code-reuse/github.svg)](https://agentmods.dev/skills/dancing-bear-show/dancing-bear/optimize-code-reuse)
Your own site
<a href="https://agentmods.dev/skills/dancing-bear-show/dancing-bear/optimize-code-reuse"><img src="https://agentmods.dev/badge/skills/dancing-bear-show/dancing-bear/optimize-code-reuse/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 optimize-code-reuse

Your own site · 80×15
<a href="https://agentmods.dev/skills/dancing-bear-show/dancing-bear/optimize-code-reuse"><img src="https://agentmods.dev/badge/skills/dancing-bear-show/dancing-bear/optimize-code-reuse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 860 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 $0.00042 $0.00860
Opus 5.5 $0.00017 $0.00344
Sonnet 5.5 $0.00008 $0.00172
Haiku 4.5 $0.00004 $0.00086

Measured yesterday against content hash d9ccdf6b2c5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

optimize-code-reuse 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 yesterday.

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.

.claude/skills/optimize-code-reuse/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Optimize Code — Code Reuse Pass

Delegates to workflows/code/optimize-code.yaml with skip_checks=complexity,coverage,security,arch, running only the reuse scan dimension. Findings are applied and rechecked automatically.

When to Use

  • After implementing a feature to consolidate similar code
  • When you notice the same function exists in multiple places
  • Pre-PR deduplication check
  • User says "reduce duplication", "extract helpers", or "consolidate code"

How to Run

Bootstrap source_root, test_path and domain_slug from context:

  • source_root: the src/<domain>/ directory of the files you just wrote or changed
  • test_path: the corresponding tests/<domain>_tests/ directory
  • domain_slug: source_root with / replaced by - (e.g. src-mail); keeps each domain's workspace separate
  • pr_number: optional — if you have an open PR, pass it to scope file detection to that PR's diff

IMPORTANT: Use the /workflow skill — do NOT call ./bin/workflow run --execute directly. It only writes dispatch files and exits (status=pending). The /workflow skill is what actually spawns agents, waits for results, and handles human gates.

Skill(skill="workflow", args="--workflow workflows/code/optimize-code.yaml --params source_root=src/<domain>/ --params test_path=tests/<domain>_tests/ --params domain_slug=src-<domain> --params skip_checks=complexity,coverage,security,arch")

With a PR number:

Skill(skill="workflow", args="--workflow workflows/code/optimize-code.yaml --params pr_number=314 --params source_root=src/<domain>/ --params test_path=tests/<domain>_tests/ --params domain_slug=src-<domain> --params skip_checks=complexity,coverage,security,arch")

What Runs

Focuses on the reuse scan dimension — other dimensions can be added via skip_checks. The workflow runs the full correction and recheck cycle:

  1. pre-check-auth — verify GitHub and qlty connections
  2. scan-changed-files — identify .py files changed vs main (or PR diff)
  3. mps-scan-reuse — shared utility reuse, bare string literals, domain duplicate detection
  4. mps-collate-findings — collate reuse findings into unified report
  5. apply-corrections — fix all critical + auto-fixable minor reuse findings
  6. recheck-lint — bin/ruff-resolve.sh check + tests to confirm fixes
  7. human-gate — present reuse summary, ask to commit/open PR

Read the full file on GitHub · 64 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. yesterday First seen · 64 lines · 42 tokens per session scan A d9ccdf6b2c5b

Subscribe to this mod's changes

optimize-code-reuse is a skill published in the GitHub repository dancing-bear-show/dancing-bear (7 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 860 once invoked, about $0.0002 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 2026-11-07.

Related

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