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 hertz-ai/HARTOS --skill ig_reelgit clone --depth 1 https://github.com/hertz-ai/HARTOSWrote 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/hertz-ai/hartos/ig_reel)<a href="https://agentmods.dev/skills/hertz-ai/hartos/ig_reel"><img src="https://agentmods.dev/badge/skills/hertz-ai/hartos/ig_reel/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/hertz-ai/hartos/ig_reel"><img src="https://agentmods.dev/badge/skills/hertz-ai/hartos/ig_reel.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 | $0.00033 | $0.00383 |
| Opus 5.5 | $0.00013 | $0.00153 |
| Sonnet 5.5 | $0.00007 | $0.00077 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
ig_reel 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 today.
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.
What it actually says
ig_reel
reel_make cuts the reel from her clips. You write the words around it. How it cuts, and what you choose for it: reel_skill reel_edit.
The hook
- Write three hook lines from different angles: the time ("Bare face to bride in 20 seconds"), the problem solved ("Dusky skin, no grey cast in flash"), the reveal ("Wait for the temple jewellery").
- Run reel_score_hooks on them. It flags weak hooks; it does not predict views. Fix the weakest check it names, or drop that line.
- The on-screen card is six words or fewer (card_ok), in her caption language. Give it to reel_make as hook_text.
Voice-over (only if she wants one)
Run reel_beat_sheet with her target length and fix every note: a hook past 3 s, a beat over 4 s, three beats with nothing concrete, no loop back to the hook.
Rules
- Her voice profile comes first in this text. Follow it: language, code-mix, the words she uses and never uses.
- Numbers over adjectives: minutes, hours of wear, the occasion (muhurtham, reception). Never invent a number, a client or a review; if one is missing, ask her.
- No greeting, no "in this video".
- Show a bride's face only with that client's consent. If unsure, ask.
- You never post. She posts the reel on Instagram herself.
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.
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.
- today First seen · 26 lines · 33 tokens per session scan A 3d8429062068
ig_reel is a skill published in the GitHub repository hertz-ai/HARTOS (51 stars, last pushed today), licensed Apache-2.0. It adds 33 tokens to every session and 383 once invoked, about $0.0001 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 2026-10-18.
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