Borrowing it
Nothing to install: this file belongs to brajendrak00068/agentic-ai-video-production. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/brajendrak00068/agentic-ai-video-production/main/AGENTS.mdgit clone --depth 1 https://github.com/brajendrak00068/agentic-ai-video-productionWrote 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/instructions/brajendrak00068/agentic-ai-video-production/agents-md)<a href="https://agentmods.dev/instructions/brajendrak00068/agentic-ai-video-production/agents-md"><img src="https://agentmods.dev/badge/instructions/brajendrak00068/agentic-ai-video-production/agents-md/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/instructions/brajendrak00068/agentic-ai-video-production/agents-md"><img src="https://agentmods.dev/badge/instructions/brajendrak00068/agentic-ai-video-production/agents-md.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 | $0.01826 | $0.01826 |
| Opus 5 | $0.00913 | $0.00913 |
| Sonnet 5 | $0.00365 | $0.00365 |
| Haiku 4.5 | $0.00183 | $0.00183 |
Grade A, and why
agentic-ai-video-production AGENTS.md 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 10d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Levea AI Video Editor (MCP)
Guidance for AI agents (Claude, GPT-class models, OpenClaw, Hermes, Cursor, Cline, …) calling the Levea MCP server. Pair with mcp-server/README.md.
What this is
levea-mcp-server exposes the Levea autonomous video editor — an editor that is itself an agent — as a small set of MCP tools. Calling agents delegate goals (a sentence, a creative brief) and the editor plans, executes, verifies, and exports end-to-end. The MCP server is a thin, stable adapter over the backend contract POST https://api.livecore.ai/api/v1/misc/openclaw/v1/execute. No editing logic, shell, filesystem, or raw renderer lives here.
Tools
The surface is one edit tool plus management & polling. The editing path is single-tool by design (the backend planner owns intent decomposition); the rest is typed state-management you'd otherwise have to call raw HTTP for.
Edit (1 + 2 variants)
| Tool | Mutates? | Async? |
|---|---|---|
autonomous_edit (primary) |
Yes | Yes — may auto-fire an export job |
autonomous_edit_streaming (SSE — emits per-step progress notifications) |
Yes | Yes |
queue_edit (fire-and-forget; returns taskId for check_task_status) |
Yes | Yes |
Job / task polling (3)
check_job_status (export jobs by numeric id), check_task_status (queued edits by taskId), get_active_task (currently-running edit for a project).
Caption templates (5)
list_caption_templates, apply_caption_template, save_caption_template, save_current_caption_template, delete_caption_template. 41 builtin templates (hormozi, mrbeast, viral-pop, minimal-pro, karaoke, neon-pop, typewriter, pop-wave, subtitle-bar, creator-box, …) plus your saved templates.
Brand kits (5)
list_brand_kits, get_brand_kit, create_brand_kit, update_brand_kit, delete_brand_kit. Palette / fonts / logo / voice / gradeBias / enforcement. Pass returned id as brandId or projectBrandId on autonomous_edit to apply.
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.
- 10d ago First seen · 109 lines · 1,826 tokens per session scan A f12a6d7b1cc3
agentic-ai-video-production AGENTS.md is an instructions file published in the GitHub repository brajendrak00068/agentic-ai-video-production (2 stars, last pushed 16d ago), licensed MIT. It adds 1,826 tokens to every session, about $0.0091 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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