quick-finalize

quick-finalize is a skill for Claude Code, Codex from tobihagemann/turbo. It costs 89 tokens per session (1,008 once invoked), scanned A, original, MIT.

A guided workflow for closing a code change: it stages and simplifies the work, runs checks and a smoke test, updates the changelog, and ships it.

In plain words
What is it for?
Use it to finish a change quickly when you want lightweight cleanup, verification, changelog updates, and delivery.
Why use it?
It brings the usual wrap-up tasks into one repeatable sequence, reducing the chance of forgotten checks or documentation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit Use it to finish a change quickly when you want lightweight cleanup, verification, changelog updates, and delivery.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tobihagemann/turbo/quick-finalize
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add tobihagemann/turbo --skill quick-finalize
Clone the repo
git clone --depth 1 https://github.com/tobihagemann/turbo

Made for: Claude Code, Codex.

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 quick-finalize

README.md
[![agentmods](https://agentmods.dev/badge/skills/tobihagemann/turbo/quick-finalize/github.svg)](https://agentmods.dev/skills/tobihagemann/turbo/quick-finalize)
Your own site
<a href="https://agentmods.dev/skills/tobihagemann/turbo/quick-finalize"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/quick-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 quick-finalize

Your own site · 80×15
<a href="https://agentmods.dev/skills/tobihagemann/turbo/quick-finalize"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/quick-finalize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,008 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 10
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 $0.00089 $0.01008
Opus 5.5 $0.00036 $0.00403
Sonnet 5.5 $0.00018 $0.00202
Haiku 4.5 $0.00009 $0.00101

Measured 18d ago against content hash 65c45ebc2494, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quick-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 18d 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/skills/quick-finalize/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quick Finalize

Task Tracking

At the start, use TaskCreate to create a task for each phase:

  1. Run /stage skill
  2. Run /simplify-all skill
  3. Run /run-checks skill
  4. Run /smoke-test skill
  5. Run /update-changelog skill
  6. Run /self-improve skill
  7. Ship It

Phase 1: Run /stage Skill

Run the /stage skill.

Phase 2: Run /simplify-all Skill

Run the /simplify-all skill on the staged changes (git diff --cached). Stage any edits it makes before continuing.

Phase 3: Run /run-checks Skill

Run the /run-checks skill. Stage any edits it makes before continuing.

Phase 4: Run /smoke-test Skill

Run the /smoke-test skill. It verifies without modifying code, so act on what it reports here: fix each failure and re-run it. When the same failure survives a fix attempt, run the /investigate skill; if investigation finds no root cause, stop and report with its findings. When a blocker cannot be cleared in this session (a path needing real credentials, an external service, or state unavailable here), carry it to the end of the run and name it in the closing report as a case still left to the user, rather than treating it as a failure. When a fix made here edited code, run the /run-checks skill again once no failure remains. Stage any edits before continuing.

Phase 5: Run /update-changelog Skill

Run the /update-changelog skill. Stage any edits it makes before continuing.

Phase 6: Run /self-improve Skill

Run the /self-improve skill for the current session. Always run this phase even if the session seemed routine.

Phase 7: Ship It

Step 1: Analyze Split

Examine the staged changes and evaluate whether they form a single reviewable unit or several independently reviewable units. This step decides only whether to split; the chosen ship skill owns all repository-state detection and the commit, push, branch, and PR intent.

Run git diff --cached --stat and git diff --cached to understand the scope. Categorize changes along three dimensions:

Read the full file on GitHub · 83 lines

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. 18d ago Changed 65c45ebc2494
  2. 21d ago Changed · +27 lines 32b53bbc9d37
  3. 26d ago Changed 68d88d7f8a0c
  4. 1mo ago First seen · 56 lines · 89 tokens per session scan A 780c7f4e8112

Subscribe to this mod's changes

quick-finalize is a skill published in the GitHub repository tobihagemann/turbo (417 stars, last pushed yesterday), licensed MIT. It adds 89 tokens to every session and 1,008 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-03.

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