Engineering Loop

SkillDev tools

Implement a repository code or configuration change through reproduction, focused checks, review, and evidence. Use for end-to-end features and fixes; not for explanation-only, review-only, research, content publishing, or production operations.

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Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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Engineering LoopStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/Phelan164/codex-howto/skills/engineering-loop/SKILL.md and read by Ahel’s review.

Deliver a verified change with minimal supervision and proportionate checking. Start with one agent. Delegate only when authorized and independent work or review coverage justifies the overhead. Follow applicable repository and team requirements; this skill adds no ticketing or mandatory-agent process.

Establish the baseline

  1. Read applicable AGENTS.md files and repository documentation.
  2. Record the requested behavior, constraints, and observable done conditions.
  3. Inspect the branch and working tree; preserve unrelated user-owned changes.
  4. Before changing shared behavior, trace affected callers, consumers, and tests using targeted search or an available code graph. Expand along relevant paths.
  5. Identify repository-native validation and run the smallest safe baseline that separates pre-existing failures from task regressions.

Resolve routine choices from evidence. Ask only for missing authority or a material decision: ambiguous acceptance, incompatible public behavior, or destructive/data-changing side effects not already authorized. Continue independent authorized work while awaiting an answer.

Load only the needed reference:

Run the loop

  1. Reproduce the defect, or capture the current behavior for a feature.
  2. Choose the smallest coherent change and the evidence that will prove it.
  3. Add a failing regression test first when practical.
  4. Implement one bounded change and run the narrowest relevant check.
  5. If an unplanned path is necessary, record why and update the scope and checks.
  6. Classify failures as product, test, environment, assumption, or external blocker. Do not change product code to mask environment failures.
  7. Run affected consumer checks and repository-required broader checks.
  8. Review the complete diff first for task-contract compliance, then for code quality, regressions, security, and maintainability.
  9. Fix consequential findings and rerun checks affected by those fixes.

Once acceptance evidence and required checks pass, broaden or repeat checks only for new changes, failures, or unresolved concerns. Add tests when they prove behavior or a meaningful invariant, not merely mirror a low-impact edit.

If no test harness exists, use a small repeatable script or documented manual check with inputs, expected behavior, and observed results. Record missing automated coverage; a build alone does not prove runtime behavior. Do not add a large testing framework solely to satisfy the loop.

Keep a compact ledger of facts, changed files, commands, outcomes, and the next decision instead of full logs.

Stop conditions

  • After two identical failures, stop blind retries and reclassify the cause. Resume only with changed relevant state or an evidence-producing probe.
  • If discovery or review repeats without new evidence, checkpoint the diff, unresolved issue, and next useful probe. Do not restart the same cycle.
  • Stop and report a blocker when progress requires missing authority, secrets, unavailable infrastructure, an unauthorized destructive action, or an unresolved material product decision.
  • When an explicit loop budget is exhausted, stop with the latest judge evidence instead of silently expanding the budget. Without an explicit budget, continue only while a bounded next action can produce new evidence; productive iterations have no arbitrary fixed count.
  • Never make a failing check pass by weakening assertions, deleting coverage, hiding errors, or silently changing acceptance criteria.
  • Do not query production, deploy, migrate, merge, or publish unless the user explicitly authorizes that action.

Finish with evidence

Report changed behavior and files, regression or acceptance proof, exact check commands and outcomes, review disposition, and remaining limitations. Include the final reviewed revision when independent review was used. Never label blocked validation or unresolved consequential findings as complete. See evidence-example.md for a filled-in handoff.

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Oct 2026
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Item type
skill
Key
engineering-loop
Source
github.com/hashgraph-online/awesome-codex-plugins