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Agent Skill

Momentic Result Classification skill

momentic-result-classificationmomentic-ai/skillsskills/momentic-result-classification/SKILL.md

Classify or explain Momentic test run results using Momentic MCP tools. Use when the user asks to categorize a failure, understand why a run failed, triage test results, or compare run results to past run results.

16

always on

51 tokname + description

once used

4,134 tokSKILL.md body

bundled files

0

installs

68kskills.sh

Install the Momentic Result Classification skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/momentic-ai/skills --skill momentic-result-classification

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/momentic-ai/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -R /tmp/skills/skills/momentic-result-classification ~/.claude/skills/momentic-result-classification

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description51 tok
When the agent uses itThe SKILL.md instructions4,134 tok
Only if openedNo bundled files—

Until it is used, momentic-result-classification costs about 27× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 6 skills from momentic-ai/skills would load 284 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Momentic result classification (MCP)
  • Instructions
  • Helpful MCP tools
  • Investigation workflow
  • Evidence standards
  • Background
  • Test run result structure
  • Element locators
  • Module caching
  • File uploads
  • Using past runs
  • Multi-attempt runs
  • Flakiness and intermittent failures
  • Test temporality
  • Common failure modes to watch for
  • Identifying related vs unrelated issues
  • Bug vs change
  • Recoverability
  • Formal classification output
  • Category ids

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  3. momentic-maintainmomentic-ai/skills

    Diagnose, classify, triage, and repair failing Momentic tests with MCP run tools, the Momentic CLI, and manual run artifacts. Use when a developer asks what happened on a branch, DevX or on-call asks why main is red, or the user wants to inspect classifications, de-flake quarantined or recovered tests, reduce retries, re-classify runs, run AI triage, or repair failures.

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  4. momentic-mobile-testmomentic-ai/skills

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  5. momentic-specmomentic-ai/skills

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