Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add sh0tn1k/telegram-ads/plugin install telegram-adsWrote 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/sh0tn1k/telegram-ads/operate-telegram-ads-cabinet)<a href="https://agentmods.dev/skills/sh0tn1k/telegram-ads/operate-telegram-ads-cabinet"><img src="https://agentmods.dev/badge/skills/sh0tn1k/telegram-ads/operate-telegram-ads-cabinet/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/sh0tn1k/telegram-ads/operate-telegram-ads-cabinet"><img src="https://agentmods.dev/badge/skills/sh0tn1k/telegram-ads/operate-telegram-ads-cabinet.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 | $0.00067 | $0.05662 |
| Opus 5 | $0.00034 | $0.02831 |
| Sonnet 5 | $0.00013 | $0.01132 |
| Haiku 4.5 | $0.00007 | $0.00566 |
Grade A, and why
operate-telegram-ads-cabinet 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 11d 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 — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operate Telegram Ads Cabinet
Read-only operational workflow for inspecting Telegram Ads cabinets (accounts). Use this skill when the task is purely observational — see which cabinets exist, which one is active, what the balance is, or whether the session is logged in. Do not use it for campaign-level work; that belongs in dedicated operational skills.
Pointer to support files
references/canonical-source-and-pipe-title-handling.md— session-specific condensed reference for the canonical source order, the demonstrated pipe-title markdown failure mode with safe render templates, theis_active/account_ref_source/ per-campaignstatusdistinction, and the tool-loop detector false-positive pattern. Read this when producing a cabinet-level audit or report; the rules below are the canonical form.references/profile-loader-and-browser-lock-semantics.md— load when investigatingprofile_dirdivergence, "wrong" Chromium profile, orBrowserProfileLockedErrorfrom a standalone smoke/watcher. Covers theTelegramAdsConfig.from_yamlvsdefault()contract, thefrom_dictAttributeError that silently fell back to defaults, the two distinct lock states (typed-tool registry vs Chromium filesystem), and the four ownership models for the persistent Chromium profile.
When to Use
- the operator asks "which cabinet am I on?", "list my Telegram Ads accounts", "what's my balance?".
- Login state needs to be checked before any further Telegram Ads action.
- A task starts with "look at cabinet X" and no other Telegram Ads tool call has been made yet.
- The output of a previous Telegram Ads action is ambiguous about which cabinet it referred to.
When NOT to Use
- Listing or inspecting individual campaigns → use
inspect-adworkflow (typed) or manuallist_ads/get_ad. - Multi-account aggregated snapshot → use
telegram_ads_workflow(workflow="snapshot"). - Per-account deep-dive ("why does cabinet X look empty?") → use
telegram_ads_workflow(workflow="account_diagnosis"). - Creating, editing, stopping, or changing CPM on a campaign → use the dedicated operational skills.
What ships with it
2 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.
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.
- 11d ago First seen · 293 lines · 67 tokens per session scan A 913c8fa9e14b
operate-telegram-ads-cabinet is a skill published in the GitHub repository sh0tn1k/telegram-ads (0 stars, last pushed 11d ago), licensed MIT. It adds 67 tokens to every session and 5,662 once invoked, about $0.0003 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 2026-08-31.
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