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 Mintii-Labs/ozor-skills --skill ozor-changelog-to-videogit clone --depth 1 https://github.com/Mintii-Labs/ozor-skillsWrote 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/mintii-labs/ozor-skills/ozor-changelog-to-video)<a href="https://agentmods.dev/skills/mintii-labs/ozor-skills/ozor-changelog-to-video"><img src="https://agentmods.dev/badge/skills/mintii-labs/ozor-skills/ozor-changelog-to-video/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.
<a href="https://agentmods.dev/skills/mintii-labs/ozor-skills/ozor-changelog-to-video"><img src="https://agentmods.dev/badge/skills/mintii-labs/ozor-skills/ozor-changelog-to-video.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00130 | $0.01992 |
| Opus 5 | $0.00065 | $0.00996 |
| Sonnet 5 | $0.00026 | $0.00398 |
| Haiku 4.5 | $0.00013 | $0.00199 |
Grade A, and why
ozor-changelog-to-video 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ozor-changelog-to-video — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ozor Changelog-to-Video Converter
Transform changelogs, release notes, and version updates into polished, ready-to-paste Ozor.ai video prompts. This skill reads structured change lists and produces scene-by-scene video prompts that announce updates in a visually compelling way.
Supported Input Types
- CHANGELOG.md — standard Keep a Changelog format
- GitHub Releases — release descriptions with tags
- Release notes — bullet-pointed feature lists
- Version summaries — "What's New" style documents
- Commit summaries — grouped commit messages for a release
- Jira/Linear release notes — exported issue lists
Workflow
Phase 1 — Parse the Changelog
Read the changelog and extract:
- Version number — the release tag (e.g., v2.4.0)
- Release date — when it shipped
- Change categories — group changes by type:
- New features — entirely new capabilities
- Improvements — enhancements to existing features
- Bug fixes — resolved issues
- Breaking changes — anything that requires user action
- Deprecations — features being phased out
- Headline change — the single most impactful or user-requested change
- Change count — total number of changes (used for duration estimation)
Phase 2 — Prioritize for Video
Not every changelog entry deserves a scene. Apply these rules:
Always include:
- The headline feature (biggest or most requested change)
- Any new feature that changes the user's workflow
- Breaking changes (users need to know)
Include if space allows:
- Significant improvements (performance, UX)
- Highly requested bug fixes
Skip for video (mention in notes):
- Minor bug fixes
- Internal refactors
- Dependency updates
- Documentation changes
Scene budget by change count (target ~1 scene per 3 seconds of video):
- 1–3 changes: 6–8 scenes (intro + 2–3 per change + summary + CTA)
- 4–7 changes: 10–15 scenes (intro + 2–3 per top change + summary + CTA)
- 8+ changes: 15–20 scenes (intro + 2–3 per top change + "and more" + CTA)
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.
- 12d ago First seen · 174 lines · 130 tokens per session scan A ac6145340d09
ozor-changelog-to-video is a skill published in the GitHub repository Mintii-Labs/ozor-skills (6 stars, last pushed 3mo ago), licensed MIT. It adds 130 tokens to every session and 1,992 once invoked, about $0.0006 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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