CERT Coordination Center (CERT/CC)
Official@certcc · Pittsburgh, PA
The CERT Coordination Center is part of Carnegie Mellon University's Software Engineering Institute.
Agent Skills by CERT Coordination Center (CERT/CC)
Showing 19 vetted skills indexed across 1 GitHub repositories.
format-code
Run Black and Flake8 to enforce Python coding standards.
build-docs
Validate markdown documentation with strict mkdocs build checks.
commit
Stage Git files and create commit messages with co-author details.
acquire-codebase-knowledge
Analyze project files and directory structures to document codebase architecture and dependencies.
update-plan
Audit project documentation against code repositories and create GitHub issues for gaps.
learn
Extract build and codebase insights into project documentation files.
pr-comprehensive-fix
Inventory review comments and CI failures, fix them, and run targeted tests.
format-markdown
Run markdownlint-cli2 to lint and auto-fix markdown files.
condense-agents-md
Breaks down oversized AGENTS.md files into targeted documents and checklists via scripts.
run-linters
Run Black, flake8, mypy, and pyright to check Python code quality.
ingest-idea
Convert design ideas from plan/IDEAS.md into formal specifications and notes.
study-project-docs
Aggregate specifications, design decisions, and key documentation across repositories.
create-epic
Create GitHub Epics with standardized issue types and labels.
build
Automate compilation and build processes for software projects.
bugfix
Confirm bug details, reproduction steps, and scope before fixing.
run-tests
Run the project's pytest command and capture the last five output lines.
grill-me
Guide users through question-led reviews to identify weaknesses and assumptions in plans.
review-priorities
Audit project task lists and GitHub issues to identify untracked open work.
load-specs
Convert nested YAML specifications into inheritance-resolved JSON format.
Frequently Asked Questions About CERT Coordination Center (CERT/CC)
FAQPage SchemaWhat specific tasks are enabled by these engineering standards?▼
These capabilities enable rigorous codebase maintenance, including automated linting, documentation validation, and structured issue tracking. Users can perform static analysis, resolve complex YAML specifications, audit repository task lists for untracked work, and generate comprehensive architectural documentation from existing project files.
Which personas benefit from these repository management standards?▼
Software engineers, technical leads, and project managers benefit from these standards. They are designed for teams requiring strict adherence to coding conventions, consistent documentation practices, and systematic bug reproduction workflows within GitHub-based development environments.
What are the prerequisites for implementing these engineering protocols?▼
Implementation requires a GitHub-hosted repository environment and familiarity with standard project configuration files. Users must ensure their environment supports standard linting and testing frameworks, as these capabilities rely on existing project structures to perform code quality checks and documentation audits.