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.
npx skills add tobihagemann/turbo --skill finalizegit clone --depth 1 https://github.com/tobihagemann/turboWrote 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.
[](https://agentmods.dev/skills/tobihagemann/turbo/finalize)<a href="https://agentmods.dev/skills/tobihagemann/turbo/finalize"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/finalize.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
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 12 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.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.00822 |
| Opus 5 | $0.00029 | $0.00411 |
| Sonnet 5 | $0.00012 | $0.00164 |
| Haiku 4.5 | $0.00006 | $0.00082 |
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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Finalize Implementation
Post-implementation QA workflow: tests, code polishing, commit, and self-improvement.
Task Tracking
At the start, use TaskCreate to create a task for each phase:
- Run
/polish-codeskill - Run
/simplify-docsskill - Run
/update-changelogskill - Run
/self-improveskill - Ship It
Phase 1: Run /polish-code Skill
Run the /polish-code skill for the current changes.
Phase 2: Run /simplify-docs Skill
Run the /simplify-docs skill on the staged changes (git diff --cached). Stage any edits it makes before continuing.
Phase 3: Run /update-changelog Skill
Run the /update-changelog skill.
Phase 4: Run /self-improve Skill
Run the /self-improve skill for the current session. Always run this phase even if the session seemed routine. Skip it only when the invocation passed defer-self-improve, meaning a parent workflow continues past this call and closes the session itself.
Phase 5: 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:
- Concern type: refactoring, bug fix, new feature, cleanup, dependency update
- Layer/domain: backend, frontend, database migrations, i18n, tests, configuration
- Logical unit: files that form a coherent, independently reviewable change
A split is warranted when the staged changes contain multiple reviewable units. Each unit should be independently understandable, testable, and revertable. When deciding group boundaries, consider whether a reviewer could evaluate each group without needing context from the others.
Step 2: Present Analysis and Choose Path
Output the split analysis as text.
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.
- 5d ago Changed 0cc74758ee9a
- 8d ago First seen · 75 lines · 58 tokens per session scan A c9dc62290ceb
finalize is a skill published in the GitHub repository tobihagemann/turbo (402 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 822 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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