What is cleanup-project?

A cleanup script for post-production project folders that prepares Instagram publishing files. It keeps the final video, cover, caption, first comment, and hashtags, with an option to retain subtitle and transcript files.

Run it as the last step for a project to clean its output folder, optionally preview deletions, or recover the final video name when subtitles were skipped.

It removes intermediate exports and analysis files so the publishing folder contains only the material needed for posting.

How aslanzubairaev/reels-factory configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to aslanzubairaev/reels-factory. 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/aslanzubairaev/reels-factory/master/.claude/skills/cleanup-project/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/aslanzubairaev/reels-factory

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aslanzubairaev/reels-factory/cleanup-project/github.svg)](https://agentmods.dev/skills/aslanzubairaev/reels-factory/cleanup-project)

Your own site

<a href="https://agentmods.dev/skills/aslanzubairaev/reels-factory/cleanup-project"><img src="https://agentmods.dev/badge/skills/aslanzubairaev/reels-factory/cleanup-project/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aslanzubairaev/reels-factory/cleanup-project"><img src="https://agentmods.dev/badge/skills/aslanzubairaev/reels-factory/cleanup-project.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 343 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.

Model	Per session	Once invoked
Fable 5.1	$0.00060	$0.00343
Opus 5	$0.00030	$0.00171
Sonnet 5	$0.00012	$0.00069
Haiku 4.5	$0.00006	$0.00034

Measured 11d ago against content hash 0aec6746ccbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

cleanup-project 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (cleanup.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/cleanup-project/SKILL.md · 34 lines

What it actually says

Skill: cleanup-project

Финальный шаг пост-продакшна. Оставляет в projects/<name>/output/ ровно 5 файлов:

final_video_subs.mp4
cover_final.png
caption.txt
first_comment.txt
hashtags.txt

Всё остальное (transcripts, cover_candidates, slide versions, webm-бэкапы, analysis.json) удаляется.

Usage

python .claude/skills/cleanup-project/cleanup.py projects/<name>/

Флаги

--keep-transcripts — оставить transcript.txt, transcript.srt, subtitles.ass (на случай ручной правки в CapCut)
--dry-run — показать что будет удалено, не удалять

Поведение

Если final_video_subs.mp4 отсутствует, но есть recording_full.mp4 → переименовывает в final_video_subs.mp4 (субтитры были пропущены)
Идемпотентен: повторный запуск не падает, если файлы уже удалены
Не трогает assets/, 01_trend.md, 02_script.json — только output/

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

cleanup.py 4.9 KB runs code

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.

11d ago First seen · 34 lines · 60 tokens per session scan A 0aec6746ccbc

Subscribe to this mod's changes

cleanup-project is a skill published in the GitHub repository aslanzubairaev/reels-factory (2 stars, last pushed 4mo ago), licensed MIT. It adds 60 tokens to every session and 343 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 2026-08-31.

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reels-factory: Skill for Claude Code