code-engineering-metrics
Inventory and measure applicable code engineering metrics across quality, complexity, tests, performance, and dependencies.
Skill by dzmitry-lahoda
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/dzmitry-lahoda-code-engineering-metrics
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/code-engineering-metrics
What's inside
- Skill name
code-engineering-metrics- Description
- Inventory and measure applicable code engineering metrics across quality, complexity, tests, performance, and dependencies. Use for repository baselines, engineering assessments, or before/after comparisons with reproducible evidence and explicit measurement gaps.
- License
- unknown
- Instructions
- 67 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- metric-catalog.md · references/
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 15, 2026 (15 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/dzmitry-lahoda/dz
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.559score
traceable-agent
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Run multi-step or multi-agent technical work with auditable local artifacts: task files, plans, progress logs, subagent inputs, subagent outputs, evidence…
SkillAFreshness: AClaude Code +9 - 0.559score
constrained-ai
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Use for AI-assisted code changes in this repository, especially Rust work, reviews, pull requests, and tasks with user-authored TODOs or strict editing…
SkillAFreshness: AClaude Code +9 - 0.559score
implementatation-review
dzmitry-lahoda
Coordinate automated code review of pull requests, branches, commits, or diffs by selecting relevant review skills, collecting repository and change context…
SkillAFreshness: AClaude Code +9 - 0.559score
explicit-alloc
dzmitry-lahoda
Use when editing or reviewing performance-sensitive code, Rust ownership paths, APIs, iterators, collections, strings, buffers, clones, boxing, async…
SkillAFreshness: AClaude Code +9 - 0.559score
persistent-state-artifacts
dzmitry-lahoda
Review consistency across authoritative state, durable records, caches, derived views, queues, and outputs.
SkillAFreshness: AClaude Code +9 - 0.556score
code-domain-identification
dzmitry-lahoda
Identify a change's software type, domain, feature flow, and supporting components so reviewers can focus on the right risks.
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Cite this page
code-engineering-metrics skill. Agent Mart. https://agentmart.dev/skills/dzmitry-lahoda-code-engineering-metrics (last updated 2026-10-24)