agentic-context-engine: Command for Claude Code

.claude/commands/finalize.md

finalize is a command for Claude Code from kayba-ai/agentic-context-engine. It costs 0 tokens per session (902 once invoked), scanned A, original, Apache-2.0.

A command that completes a code change by formatting files, updating project notes, checking test coverage, running tests, and preparing a Git commit and push.

In plain words
What is it for?
Use it after changing code when you want to format the project, add tests for uncovered changes, run the test suite, commit the result, and push it. An optional argument can provide the commit message.
Why use it?
It gathers the routine finishing steps into one workflow and can retry fixes when tests fail.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions CLAUDE.md.

This is kayba-ai/agentic-context-engine's own configuration. It tells Claude Code how to work on agentic-context-engine itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentic-context-engine configures →

About the project

Agentic Context Engine is an open-source engine that gives AI agents a persistent learning loop, helping them remember successful strategies and learn from failures across sessions. It is used to improve production agents, and also powers Kayba’s hosted service. Catalogue add-ons support workflows for operating and configuring the engine.

kayba-ai/agentic-context-engine · 2,608 stars · on GitHub · kayba.ai

Reuse

Borrowing it

Nothing to install: this file belongs to kayba-ai/agentic-context-engine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/kayba-ai/agentic-context-engine/main/.claude/commands/finalize.md
Clone the repo
git clone --depth 1 https://github.com/kayba-ai/agentic-context-engine

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for finalize

README.md
[![agentmods](https://agentmods.dev/badge/commands/kayba-ai/agentic-context-engine/finalize/github.svg)](https://agentmods.dev/commands/kayba-ai/agentic-context-engine/finalize)
Your own site
<a href="https://agentmods.dev/commands/kayba-ai/agentic-context-engine/finalize"><img src="https://agentmods.dev/badge/commands/kayba-ai/agentic-context-engine/finalize/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for finalize

Your own site · 80×15
<a href="https://agentmods.dev/commands/kayba-ai/agentic-context-engine/finalize"><img src="https://agentmods.dev/badge/commands/kayba-ai/agentic-context-engine/finalize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 902 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00902
Opus 5.5 $0.00000 $0.00361
Sonnet 5.5 $0.00000 $0.00180
Haiku 4.5 $0.00000 $0.00090

Measured 2mo ago against content hash 10b4ca0fefdc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

finalize scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/commands/finalize.md · 80 lines

What it actually says

Finalize the current work: format, test, fix, commit, and push.

Run this command after making code changes to complete the development cycle. It handles formatting, testing (with auto-fix retries), committing, and pushing.

Arguments: $ARGUMENTS is an optional commit message override. If not provided, compose one automatically from the diff.

Workflow:

  1. Format code

    • Run uv run black ace/ tests/ examples/
  2. Update CLAUDE.md

    • Run /init to update the project's CLAUDE.md file with current codebase context
  3. Review test coverage

    • Check if the changes have adequate test coverage
    • Look at which lines/branches are untested for the modified files
    • If coverage gaps exist for the changed code, add targeted tests before proceeding
    • Focus on: new functions, error paths, edge cases, and branches introduced by this changeset
  4. Run tests

    • Run uv run pytest
  5. Test-fix loop (max 3 retries)

    • If tests pass, continue to step 6
    • If tests fail:
      • Analyze the failure output
      • Fix the failing code or tests
      • Add missing tests if the failures reveal gaps
      • Re-run formatter: uv run black ace/ tests/ examples/
      • Re-run tests: uv run pytest
      • If tests still fail after 3 total attempts, stop entirely and report the failures. Never commit broken code.
  6. Security review

    • Run /security-review to scan changed code for vulnerabilities
    • If Critical or High severity issues are found, fix them before proceeding
    • After fixing, re-run formatter (uv run black ace/ tests/ examples/) and tests (uv run pytest)
    • If issues can't be auto-fixed, report them and stop
  7. Review changes

    • Run git diff to review all changes
    • Run git status to see untracked/modified files
    • Determine which files to stage
  8. Stage files selectively

    • Use explicit git add <file> for each file. Never use git add -A or git add .
    • Never stage: .env, credentials, secrets, __pycache__/, *.pyc, large binaries, .DS_Store
    • Only stage uv.lock if dependency changes in pyproject.toml were intentional
    • If unsure about a file, ask the user
  9. Compose commit message

    • If $ARGUMENTS was provided, use it as the commit message
    • Otherwise, compose a Conventional Commit message: <type>(<scope>): <short description>
    • Types: feat, fix, refactor, test, docs, chore, perf, style
    • Derive scope from the primary changed file path (e.g., ace/skillbook.py -> skillbook, ace/integrations/litellm.py -> integrations, tests/test_foo.py -> tests)
    • Keep messages short and imperative
  10. Check branch safety

    • Run git branch --show-current to get the current branch
    • If on main or master, warn the user and ask for explicit confirmation before committing
    • If denied, stop without committing
  11. Commit and push

    • Commit with the composed message
    • Push to remote: git push (or git push -u origin <branch> if no upstream is set)
  12. Report summary

    • Commit hash (short)
    • Branch name
    • Files changed count
    • Test results (pass count)
    • Any warnings encountered

Error handling:

  • If no changes exist (clean working tree), report "Nothing to finalize" and stop
  • If tests fail after 3 retries, report failures and stop without committing
  • If push fails, report the error but keep the local commit
  • If formatter fails, report the error and stop
  • If security review finds unfixable Critical/High issues, report and stop without committing
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 80 lines · 0 tokens per session scan A 10b4ca0fefdc

Subscribe to this mod's changes

finalize is a command published in the GitHub repository kayba-ai/agentic-context-engine (2,608 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 902 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

finalize compared with commands from other repositories

finalize next to 6 commands from other repositories
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