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 mr-tbot/Auto-Everything --skill auto-media-onboardinggit clone --depth 1 https://github.com/mr-tbot/Auto-EverythingWrote 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/mr-tbot/auto-everything/auto-media-onboarding)<a href="https://agentmods.dev/skills/mr-tbot/auto-everything/auto-media-onboarding"><img src="https://agentmods.dev/badge/skills/mr-tbot/auto-everything/auto-media-onboarding/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/mr-tbot/auto-everything/auto-media-onboarding"><img src="https://agentmods.dev/badge/skills/mr-tbot/auto-everything/auto-media-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00098 | $0.06585 |
| Opus 5 | $0.00049 | $0.03292 |
| Sonnet 5 | $0.00020 | $0.01317 |
| Haiku 4.5 | $0.00010 | $0.00658 |
Grade A, and why
auto-media-onboarding 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 4d 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 — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/auto-media-onboarding
One deliverable: the onboarding video. The film that takes a stranger from nothing to their first real outcome in the product.
/auto-media-maker owns the series and the staleness tracker. /auto-media-stinger owns the launch
commercial. This owns one film, and is held to standards neither of them is.
What This Skill Inherits
Read from /auto-media-maker, never re-asked: pipeline discovery and .agent/media.json, avatar and
voice, the brand folder, the verbatim never_say list, the catalog, the watch/on_change
machinery, per-line content-addressed narration, vN filenames, blessing, and the memory entry
format. Its capture hygiene is law here — scripted drive, no hand-scroll, cursor hidden, UI settles
before and after every action.
If none of that exists, bootstrap only what this film needs — pipeline discovery, avatar and voice
from the real account listing, brand folder, never_say, the tutorial style set, plus the demo
account and capture rig, which this film cannot be shot without. Write one catalog entry, record that
the rest of the series is unplanned rather than skipped, and say so in one line: "run
/auto-media-maker when you want the catalog." Offer; do not perform.
Never plan a catalog here, never build a second config or task list, never re-ask the parent's interview.
Step 1 — Name The First-Value Moment, Before A Word Of Script
The film is not done when it has explained the product. It is done when a stranger who watched it has the outcome in front of them. Write that as one sentence, in this shape, at the top of the shot list:
A new
<role>now has<a concrete artifact or observable state>that the product produced, which they did not have before, and they can see it.
"Understands the dashboard", "has explored the workspace", "knows what we do" are all failures — none is observable. These are the shape:
| Product | First-value moment |
|---|---|
| Log/analytics tool | Their own first line of real log data is visible in the live tail |
| CI product | A green check appears on a commit they just pushed |
| Invoice SaaS | An invoice PDF exists and is downloadable |
| Video/VJ tool | The first output frame renders on the second screen |
| Home-server appliance | The device answers on its LAN address from their own browser |
| API product | A 200 comes back from their own key, in their own terminal |
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.
- 4d ago First seen · 410 lines · 98 tokens per session scan A 9cdf7f662498
auto-media-onboarding is a skill published in the GitHub repository mr-tbot/Auto-Everything (7 stars, last pushed 7d ago), licensed MIT. It adds 98 tokens to every session and 6,585 once invoked, about $0.0005 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 2026-09-04.
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