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 tubecreate/tubecli --skill auth_managergit clone --depth 1 https://github.com/tubecreate/tubecliWrote 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/tubecreate/tubecli/auth_manager)<a href="https://agentmods.dev/skills/tubecreate/tubecli/auth_manager"><img src="https://agentmods.dev/badge/skills/tubecreate/tubecli/auth_manager/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/tubecreate/tubecli/auth_manager"><img src="https://agentmods.dev/badge/skills/tubecreate/tubecli/auth_manager.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 | $0.00015 | $0.00522 |
| Opus 5 | $0.00008 | $0.00261 |
| Sonnet 5 | $0.00003 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
auth_manager 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 9d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auth Manager Extension
This skill is responsible for generating the authorization URL (Google, Facebook, TikTok) that the user can click to grant app permissions, e.g. managing video uploads to YouTube, Fanpage, TikTok.
When to use
- The user asks to "send me the authorization link"
- The user wants to "grant permission to manage a new youtube channel"
- The user asks to "grant facebook/tiktok permission", "grant app permission"
How to trigger (AI OUTPUT JSON)
If the user asks for an authorization link, analyze the platform (provider) and return the following JSON:
{
"action": "generate_auth_link",
"provider": "google",
"scopes": ["youtube", "youtube_upload"]
}
Supported provider values: google, facebook, tiktok.
If you don't know the scopes, you can leave it empty [], and the system will automatically use the most common default scope.
Note: After the bot responds with JSON, the system will return a link for the user to click and grant permission.
Google Sheets shared through a group (gsheet_*)
When the agent sits inside a Flow Builder group that contains a Sheet node, the group prompt block lists that sheet by alias and the exact JSON syntax. Five actions are handled here (auth_manager owns the Google token):
| action | needs access | purpose |
|---|---|---|
gsheet_read |
read | rows of a tab / range (max_rows, tail) |
gsheet_tabs |
read | list tabs |
gsheet_append |
append | add rows after the last filled row |
gsheet_update |
write | overwrite an explicit range |
gsheet_create_tab |
manage | add a tab |
Rules: refer to the sheet by its alias ("sheet": "<alias>") — never by id or
credential; a sheet that is not in the agent's group(s) does not exist and the action
is refused. Without any group sheet the answer is "No Google Sheet is shared with this
agent". The HTTP side used by the cloud Sheet node: GET /gsheets/inspect,
GET /gsheets/{id}/values, POST /gsheets/{id}/append under /api/v1/auth-manager.
What ships with it
15 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.
- __init__.py 215 B runs code
- commands.py 6.6 KB runs code
- extension.py 64 KB runs code
- gsheets.py 21 KB runs code
- locales/en.json 12 KB
- locales/es.json 8.3 KB
- locales/ja.json 9.3 KB
- locales/ko.json 8.1 KB
- locales/ru.json 11 KB
- locales/tr.json 8.2 KB
- locales/vi.json 10 KB
- locales/zh_tw.json 2.5 KB
- locales/zh-TW.json 4.9 KB
- locales/zh.json 7.3 KB
- routes.py 20 KB runs code
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.
- 9d ago First seen · 51 lines · 15 tokens per session scan A 77f1c47f6bf2
auth_manager is a skill published in the GitHub repository tubecreate/tubecli (167 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 522 once invoked, about $0.0001 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 2026-08-30.
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