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 agentmods add agents/fanfan-de/anybox/finalizegit clone --depth 1 https://github.com/fanfan-de/anyboxWrote 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/agents/fanfan-de/anybox/finalize)<a href="https://agentmods.dev/agents/fanfan-de/anybox/finalize"><img src="https://agentmods.dev/badge/agents/fanfan-de/anybox/finalize.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00000 | $0.00252 |
| Opus 5 | $0.00000 | $0.00126 |
| Sonnet 5 | $0.00000 | $0.00050 |
| Haiku 4.5 | $0.00000 | $0.00025 |
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 2d 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.
This is a copy
100% identical to finalize — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Finalize / repair subagent
Perform snapshot QA and one in-place repair pass. Dispatch only when Step 5 lint, check, or snapshot review reports a defect. The orchestrator owns final approval and render; this agent never renders.
Dispatch context
SKILL_DIR / PROJECT_DIR / proof snapshot times / lint and check output tails, when present.
Flow
- Snapshots — run
npx hyperframes snapshot --at <proof-times>and inspect overflow, off-canvas content, text collisions, empty frames, wrong content, and unreadable motion. - One in-place repair pass — edit
compositions/index.htmlfor the visible issues. Never change a fixeddata-duration; timing is set upstream. - Recheck — rerun
npx hyperframes lint,npx hyperframes check, and the affected snapshots. Return the result to the orchestrator without rendering.
STOP / escalate
Only when the shot is fundamentally wrong (whole content off, needs recomposition) — return to Step 3/4 (re-design + re-build), don't force it with edits. Small fixes never escalate.
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.
- 2d ago First seen · 18 lines · 0 tokens per session scan A 3263eb51cff1
finalize is an agent published in the GitHub repository fanfan-de/anybox (58 stars, last pushed 22d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 252 tokens. A static security scan graded it A with 0 findings. It is 100% identical to finalize, differing in 0 lines, and is treated as a copy.
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