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_captiongit 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_caption)<a href="https://agentmods.dev/skills/hertz-ai/hartos/ig_caption"><img src="https://agentmods.dev/badge/skills/hertz-ai/hartos/ig_caption/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_caption"><img src="https://agentmods.dev/badge/skills/hertz-ai/hartos/ig_caption.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 | $0.00039 | $0.00384 |
| Opus 5.5 | $0.00016 | $0.00154 |
| Sonnet 5.5 | $0.00008 | $0.00077 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
ig_caption 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_caption
The reel carries the hook. The caption gives the context, one ask and the words people search for.
Shape
- Line 1, the part shown before "... more" (about 125 characters): the look and the occasion, plainly. Never a greeting, a hashtag or an emoji first.
- Body: two to four short lines: the look, the products, her city.
- One ask: "DM for bookings", "Bookings open for December", or her WhatsApp line. One, not three.
- Hashtags: up to {reel_hashtag_limit}, picked from her hashtag bank, on the last line. Never #viral, #fyp or #explorepage.
Search words
Put her city and service in a normal sentence, e.g. "bridal makeup artist in Madurai". Pass her search terms to reel_check_caption as keywords.
Check
- Run reel_check_caption on the draft with her keywords.
- Fix every FAIL. For each WARN, decide and say why.
- It also returns a cleaned version and a detection score. Use the cleaned text unless it changed her own words; her emoji and words from the profile are kept.
Rules
- Write in her caption language and keep her code-mix (Tamil with English words is fine).
- No links in the caption: they are not clickable.
- Never invent prices, reviews or client names.
- Nothing is posted. She copies the caption 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 · 31 lines · 39 tokens per session scan A 4766d45846c9
ig_caption is a skill published in the GitHub repository hertz-ai/HARTOS (51 stars, last pushed today), licensed Apache-2.0. It adds 39 tokens to every session and 384 once invoked, about $0.0002 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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