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dancing-bear: Skill for Claude Code

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

optimize-code is a skill for Claude Code from dancing-bear-show/dancing-bear. It costs 72 tokens per session (963 once invoked), scanned A, original, MIT.

A post-implementation review that scans code for reuse, complexity, tests, security, and architecture problems. It can apply corrections and check the results again.

In plain words
What is it for?
Use it after implementing a feature or when cleaning up code, especially as a pre-pull-request quality check.
Why use it?
It helps catch maintainability and quality issues before a commit or pull request, instead of finding them later in review or production.

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 →

not rated 7repo yesterday A scan 72 tokens original MIT
View source ↗ dancing-bear-show/dancing-bear
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/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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/dancing-bear-show/dancing-bear/optimize-code"><img src="https://agentmods.dev/badge/skills/dancing-bear-show/dancing-bear/optimize-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 963 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 $0.00072 $0.00963
Opus 5.5 $0.00029 $0.00385
Sonnet 5.5 $0.00014 $0.00193
Haiku 4.5 $0.00007 $0.00096

Measured yesterday against content hash 3d599e91a68d, 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 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/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Optimize Code

Delegates to workflows/code/optimize-code.yaml, which runs 5 quality scans in parallel (reuse, complexity, coverage, security, and architecture), collates findings, applies corrections, and rechecks.

When to Use

  • After implementing a feature (before committing or opening a PR)
  • User says "optimize", "harden", "clean up", or "polish"
  • As a pre-PR quality gate

How to Run

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>")

With a PR number (scopes changed-files detection to that PR):

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>")

Skip specific checks:

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=coverage,security")

Workflow Params

Param Default Description
source_root "" Path prefix for changed source files, e.g. src/workflow/
test_path "" Test directory to run, e.g. tests/workflow_tests/
domain_slug "" Required: source_root with / replaced by -, e.g. src-workflow; keeps each domain's workspace separate
pr_number "" Optional PR number — scopes file detection to that PR's diff
skip_checks "" Comma-separated checks to skip: reuse,complexity,coverage,security,arch
auth_domains github,qlty Auth pre-flight domains

Read the full file on GitHub · 75 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 · 75 lines · 72 tokens per session scan A 3d599e91a68d

Subscribe to this mod's changes

optimize-code is a skill published in the GitHub repository dancing-bear-show/dancing-bear (7 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 963 once invoked, about $0.0003 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.

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Related

optimize-code compared with skills from other repositories

optimize-code next to 6 skills from other repositories
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swarm-pr-reviewZaxbyHub/opencode-swarmSkill518todayMITA91Claude Code
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agent-debug-ciNVIDIA/elementsSkill115yesterdayApache-2.0A80Claude Code, Codex