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konstruktoid

User

A library of reusable instructions and Claude Code skills for AI coding agents.

4 indexed · 0 Featured · 2 stars · avg score 75

Categories

Indexed Skills (4)

AI & Automation Listed

ansible-verification-loop

Reviews and modifies Ansible roles, collections, playbooks, and tasks, verified through the target repository's own lint/test loop rather than declaring success from the edit alone. Use when reviewing or modifying any Ansible role, collection, playbook, or task.

2 Updated yesterday
konstruktoid
Code & Development Listed

github-actions-security

Authors, reviews, and hardens GitHub Actions workflows, reusable workflows, and composite actions with least-privilege GITHUB_TOKEN permissions, action references pinned by commit SHA to the latest published release, injection-safe handling of untrusted event data, safe trigger and runner choices, and a structure that scales across many repositories, verified with actionlint and zizmor in a bounded loop. Use when creating or editing anything under .github/workflows/, an action.yml or action.yaml, or a dependabot.yml covering actions, and when reviewing workflow permissions, secrets, OIDC, action pinning or versions, triggers such as pull_request_target or workflow_run, self-hosted runners, caching, or organization-wide workflow governance.

2 Updated yesterday
konstruktoid
AI & Automation Listed

python-secure-coding

Authors and modifies Python source code with security best practices that static analysis alone does not fully cover, including input handling, deserialization, secrets, subprocess/SQL/crypto usage, SSRF, and dependency hygiene, layered on the ruff/ty quality gate. Use when writing or editing Python, and especially for changes touching user input, subprocess/OS calls, SQL or other query construction, templating, cryptography, secrets/credentials, or access control.

2 Updated yesterday
konstruktoid
Testing & QA Listed

python-testing

Adds or updates pytest coverage for a Python change by first discovering the repository's existing test layout and conventions, matching them rather than imposing a new structure, deciding whether the change requires a test at all, and running the suite in a bounded verify loop. Use when a Python change adds behavior, fixes a bug, changes a public interface, or touches security-relevant logic, and when deciding where a new test belongs in an unfamiliar repository.

2 Updated yesterday
konstruktoid

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