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verified-koc-videofactory

verified-koc-videofactory is a skill for Codex from tody-agent/affiliate-product. It costs 93 tokens per session (1,305 once invoked), scanned A, original, MIT.

A local connector for reviewing pitch decks, which are presentations used to ask investors for funding, and for examining investment funds and deals. It provides feedback and investor-related research through the Model Context Protocol (MCP).

In plain words
What is it for?
Getting feedback on a pitch deck, finding investors likely to fund a proposal, and screening funds or deals for venture capital firms and limited partners.
Why use it?
It brings pitch and investment review into the coding agent, reducing the need to assess decks and investor fit manually.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 2repo 2mo ago A scan 93 tokens original MIT

Good fit Getting feedback on a pitch deck, finding investors likely to fund a proposal, and screening funds or deals for venture capital firms and limited partners.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tody-agent/affiliate-product/verified-koc-videofactory
View source ↗ tody-agent/affiliate-product
Install

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.

Any agent
npx skills add tody-agent/affiliate-product --skill verified-koc-videofactory
Clone the repo
git clone --depth 1 https://github.com/tody-agent/affiliate-product

Made for: Codex.

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.

agentmods badge for verified-koc-videofactory

README.md
[![agentmods](https://agentmods.dev/badge/skills/tody-agent/affiliate-product/verified-koc-videofactory/github.svg)](https://agentmods.dev/skills/tody-agent/affiliate-product/verified-koc-videofactory)
Your own site
<a href="https://agentmods.dev/skills/tody-agent/affiliate-product/verified-koc-videofactory"><img src="https://agentmods.dev/badge/skills/tody-agent/affiliate-product/verified-koc-videofactory/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.

agentmods 80×15 button for verified-koc-videofactory

Your own site · 80×15
<a href="https://agentmods.dev/skills/tody-agent/affiliate-product/verified-koc-videofactory"><img src="https://agentmods.dev/badge/skills/tody-agent/affiliate-product/verified-koc-videofactory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,305 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.01305
Opus 5.5 $0.00037 $0.00522
Sonnet 5.5 $0.00019 $0.00261
Haiku 4.5 $0.00009 $0.00130

Measured 2mo ago against content hash c0e0158b5a90, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

verified-koc-videofactory 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/verified_koc_videofactory.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.

skills/verified-koc-videofactory/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verified KOC VideoFactory

Skill này có hai chế độ tách biệt: nghiên cứu và sản xuất. Không dùng research queue để viết kịch bản; chỉ video PUBLISHED trong verified DB mới được mở khóa pattern sản xuất.

1. Nghiên cứu bằng Browser MCP

  • Dùng Browser MCP trên phiên FastMoss đã đăng nhập; không dùng Computer Use, trình duyệt Playwright riêng, cookie hoặc token do người dùng cung cấp.
  • Tuyển creator theo references/persona-and-browser.md.
  • Lưu URL TikTok canonical, ID 19 chữ số, caption gốc, snapshot đơn/GMV, kỳ đo, thời điểm và tệp bằng chứng. Không suy đoán format từ caption.
  • Nếu TikTok/FastMoss không phát media, gặp CAPTCHA/WAF hoặc mất phiên, ghi trạng thái block chính xác và dừng batch đó. Không viết transcript, CRO hay kịch bản thay thế.
  • Có thể kiểm tra queue mà không mở khóa sản xuất:
python -m afflite.cli creator-intel collect \
  --queue data/research_queue/introvert_tech_creator_candidates.json

2. Ingest và phân tích verified

Tiếp tục bằng creator-intel ingest-verified theo manifest thật. Mỗi video phải có MP4, bằng chứng KOC, bằng chứng gắn sản phẩm/giỏ hàng và snapshot commerce. FFmpeg/STT/CRO phải dẫn về media thật; thiếu media thì giữ BLOCKED_MEDIA.

Không chạy các luồng legacy creator-intel seed, creator-intel script, creator-storyboard hoặc afflite make-video cho kho verified vì các luồng đó không bảo đảm provenance.

3. Chọn pattern đủ điều kiện

python -m afflite.cli creator-intel list-patterns \
  --verified-db data/verified_creator_intelligence.db \
  --niche Tech

Chỉ dùng pattern được lệnh này trả về: ít nhất 5 video PUBLISHED thuộc ít nhất 3 KOC, cùng niche và cùng hook archetype. Nếu danh sách rỗng, báo thiếu bằng chứng và không tạo kịch bản.

4. Soạn brief có provenance

Đọc references/provenance-contract.md trước khi viết brief. Dùng schema schemas/evidence-videofactory-brief.schema.json.

  • Chọn FACELESS_VOICEOVER cho cảnh quay tay/sản phẩm/setup và voice profile Adam; chọn LOW_FACE_VLOG cho vlog đời thường ít phụ thuộc nói trực diện.
  • Lời thoại mới phải ghi AI_ADAPTED_FROM_VERIFIED_PATTERN; không mạo nhận là transcript của KOC.
  • Mỗi cảnh dẫn ít nhất một transcript, analysis hoặc keyframe thật bằng Video ID và timestamp.
  • Mọi claim sản phẩm lấy từ tệp nguồn cục bộ có SHA-256. Mọi số liệu trong lời thoại/subtitle phải khai báo claim_keys; CTA cũng phải dẫn fact.
  • Không dùng GMV, đơn hàng hay view của KOC làm claim bán hàng cho sản phẩm mới.

Read the full file on GitHub · 93 lines

Files

What ships with it

4 files 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.

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.

  1. 2mo ago First seen · 93 lines · 93 tokens per session scan A c0e0158b5a90

Subscribe to this mod's changes

verified-koc-videofactory is a skill published in the GitHub repository tody-agent/affiliate-product (2 stars, last pushed 2mo ago), licensed MIT. It adds 93 tokens to every session and 1,305 once invoked, about $0.0004 per session on Opus 5.5. 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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