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Agent Skill

Momentic Maintain skill

momentic-maintainmomentic-ai/skillsskills/momentic-maintain/SKILL.md

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.

16

always on

89 tokname + description

once used

6,522 tokSKILL.md body

bundled files

0

repo stars

16GitHub

Install the Momentic Maintain skill

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

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

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-maintain ~/.claude/skills/momentic-maintain

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 description89 tok
When the agent uses itThe SKILL.md instructions6,522 tok
Only if openedNo bundled files—

Until it is used, momentic-maintain costs about 15× 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

  • The instructions are over 5,000 tokens, the Agent Skills specification's guideline for SKILL.md.

Checked 2026-10-22 · method

What's inside

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

  • Maintain Momentic tests
  • Common workflows
  • Maintenance workflow
  • Inspect the existing classification
  • Helpful MCP tools
  • Investigation workflow
  • Evidence standards
  • Run AI classification
  • Prepare triage
  • Run AI triage
  • Download run artifacts manually
  • 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

More skills from momentic-ai/skills

All skills in this repo
  1. momentic-testmomentic-ai/skills

    Create, run, and maintain Momentic browser E2E tests and modules stored as *.test.yaml and *.module.yaml files.

    68k30 tok idle · 3,669 in use
  2. momentic-result-classificationmomentic-ai/skills

    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.

    68k51 tok idle · 4,134 in use
  3. mo-qamomentic-ai/skills

    Run and control Mo QA sessions with Momentic's `qa` CLI. Use for bug bashes, status checks, report export, replies to Mo, file transfer, or repairs based on Mo findings.

    1645 tok idle · 3,966 in use
  4. momentic-mobile-testmomentic-ai/skills

    Create, run, and maintain Momentic mobile E2E tests and modules for Android and iOS. Use Momentic MCP tools for live device validation, and use direct v2 YAML edits only for high-confidence local mobile v2 changes.

    1653 tok idle · 3,517 in use
  5. momentic-specmomentic-ai/skills

    Improve code correctness using Momentic specs in the feature development process

    1616 tok idle · 2,060 in use