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 sh0tn1k/telegram-ads --skill telegram-ads-cost-modifiersgit clone --depth 1 https://github.com/sh0tn1k/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/telegram-ads-cost-modifiers)<a href="https://agentmods.dev/skills/sh0tn1k/telegram-ads/telegram-ads-cost-modifiers"><img src="https://agentmods.dev/badge/skills/sh0tn1k/telegram-ads/telegram-ads-cost-modifiers/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/telegram-ads-cost-modifiers"><img src="https://agentmods.dev/badge/skills/sh0tn1k/telegram-ads/telegram-ads-cost-modifiers.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 | $0.00092 | $0.02786 |
| Opus 5 | $0.00046 | $0.01393 |
| Sonnet 5 | $0.00018 | $0.00557 |
| Haiku 4.5 | $0.00009 | $0.00279 |
Grade A, and why
telegram-ads-cost-modifiers 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 6d 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telegram Ads Cost Modifiers
Operational procedure for estimating the effective CPM a draft will cost, by stacking Telegram's UI-declared creative-option surcharges onto the base cpm field. This is an estimate — the live validate_ad / checkAdPost result is the source of truth.
The Telegram Ads UI raises the effective CPM when these creative options are enabled. These four rules are the canonical reference for this skill — treat them as fixed, do not extrapolate or "round" them in reports:
| Creative option | Surcharge | Source |
|---|---|---|
show_picture (bot/channel picture) |
+30% | Telegram Ads UI label |
custom_emoji (premium emoji in text) |
+50% | Telegram Ads UI label |
media_photo (uploaded photo) |
+50% | Telegram Ads UI label |
media_video (uploaded video) |
+80% | Telegram Ads UI label |
Authoritative source for the live value is
validate_ad/cpm_extra, not this table. The four numbers above are the declared UI rules and are stable across cabinets. The livecpm_extrafromcheckAdPostmay differ in edge cases (placement-specific surcharge, account state) — when it does, the live value wins. Do not assumemedia_photoreturns+80%in any general sense; that has been observed in one specific live test (channel photo, 2026-06) but is not the rule.
Surcharges stack multiplicatively, not additively: effective_cpm = base_cpm × Π(1 + pct/100). This stacking is an estimate — it is a reasonable approximation, not a contractual guarantee from Telegram.
When to Use
- the operator asks "how much will this ad really cost per 1000 views?".
- Before preparing a draft that uses
show_picture, custom emoji, or uploaded media. - Comparing two drafts: "which is cheaper per 1000 impressions?".
- Pre-approval sanity check: "I said CPM=💎1.50 — what will the live CPM actually be?".
- Whenever a draft's
media_pathis set andtarget_typeischannelsorusers.
Review-test campaigns (default settings)
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.
- 6d ago Changed 380ecb18c74c
- 10d ago First seen · 194 lines · 92 tokens per session scan A 6551546e1028
telegram-ads-cost-modifiers is a skill published in the GitHub repository sh0tn1k/telegram-ads (0 stars, last pushed 9d ago), licensed MIT. It adds 92 tokens to every session and 2,786 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…