What is optimize-code-security?

A security review workflow for code that handles passwords, tokens, API keys, or other secrets. It checks for hardcoded credentials, exposed output, unsafe secret handling, and insecure patterns when calling external services.

Use it after adding authentication or an external integration, or before opening a pull request. It scans the relevant changed code and rechecks after applying fixes.

It helps prevent credentials from being committed or printed in logs. It also catches unsafe handling before code is sent for review or connected to a new service.

How dancing-bear-show/dancing-bear configures Claude Code

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-security/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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dancing-bear-show/dancing-bear/optimize-code-security/github.svg)](https://agentmods.dev/skills/dancing-bear-show/dancing-bear/optimize-code-security)

Your own site

<a href="https://agentmods.dev/skills/dancing-bear-show/dancing-bear/optimize-code-security"><img src="https://agentmods.dev/badge/skills/dancing-bear-show/dancing-bear/optimize-code-security/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dancing-bear-show/dancing-bear/optimize-code-security"><img src="https://agentmods.dev/badge/skills/dancing-bear-show/dancing-bear/optimize-code-security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 858 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.

Model	Per session	Once invoked
Fable 5.1	$0.00043	$0.00858
Opus 5.5	$0.00017	$0.00343
Sonnet 5.5	$0.00009	$0.00172
Haiku 4.5	$0.00004	$0.00086

Measured yesterday against content hash e9476b55050f, 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-security 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-security/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 — Security Pass

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

When to Use

After implementing code that handles credentials, tokens, or API keys
Pre-PR security check
When integrating with new external services
User says "secure", "mask", "check for leaks", or "sanitize output"

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=reuse,complexity,coverage,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=reuse,complexity,coverage,arch")

What Runs

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

pre-check-auth — verify GitHub and qlty connections
scan-changed-files — identify .py files changed vs main (or PR diff)
mps-scan-security — hardcoded credential detection, masking gaps, raw HTTP usage audit
mps-collate-findings — collate security findings into unified report
apply-corrections — fix all critical + auto-fixable minor security findings
recheck-lint — bin/ruff-resolve.sh check + tests to confirm fixes
human-gate — present security 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.

yesterday First seen · 64 lines · 43 tokens per session scan A e9476b55050f

Subscribe to this mod's changes

optimize-code-security is a skill published in the GitHub repository dancing-bear-show/dancing-bear (7 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 858 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.

Security automation calendar cli gmail oauth2 outlook

optimize-code-security next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
optimize-code-securitydancing-bear-show/dancing-bear	Skill	7	yesterday	MIT	A	43	Claude Code
gogolafkfreund/nixos_config	Skill	32	yesterday	GPL-3.0	A	125	Claude Code, Codex
google-workspace-authbobmatnyc/claude-mpm	Skill	158	2mo ago	none	A	22	Claude Code
outlook-mcpmpalermiti/outlook-mcp	Skill	41	2d ago	MIT	A	96	Claude Code, Codex
olkrlrghb/olkcli	Skill	23	14d ago	MIT	A	28	Claude Code, Codex
ghealthGoogle-Health-API/google-health-cli	Skill	281	4mo ago	Apache-2.0	A	41	Claude Code, Codex
ghealth-sharedGoogle-Health-API/google-health-cli	Skill	281	4mo ago	Apache-2.0	A	22	Claude Code, Codex

dancing-bear: Skill for Claude Code