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handle-telegram-ads-review-and-declines

handle-telegram-ads-review-and-declines is a skill for Claude Code from sh0tn1k/telegram-ads. It costs 87 tokens per session (5,102 once invoked), scanned A, original, MIT.

A workflow for handling Telegram Ads moderation results, where Telegram reviews ads before they can run. It explains rejections, proposes policy-compliant rewrites, checks them again, and submits approved changes for another review.

In plain words
What is it for?
Reading rejection reasons, diagnosing repeated declines, rewriting ad text, re-validating drafts, resubmitting or editing ads, and confirming that an approved ad is active.
Why use it?
It turns an unclear rejection into a specific policy category and a next step. It also helps distinguish pending, rejected, limited, and active ad states.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the telegram-ads plugin — 13 skills shipped together

not rated 0repo 11d ago A scan 87 tokens original MIT

Good fit Reading rejection reasons, diagnosing repeated declines, rewriting ad text, re-validating drafts, resubmitting or editing ads, and confirming that an approved ad is active.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sh0tn1k/telegram-ads/handle-telegram-ads-review-and-declines
View source ↗ sh0tn1k/telegram-ads
Install

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.

Any agent
npx skills add sh0tn1k/telegram-ads --skill handle-telegram-ads-review-and-declines
Clone the repo
git clone --depth 1 https://github.com/sh0tn1k/telegram-ads

Made for: Claude Code.

Or install telegram-ads, the plugin that ships this one along with the rest of its 13 skills.

Wrote 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.

agentmods badge for handle-telegram-ads-review-and-declines

README.md
[![agentmods](https://agentmods.dev/badge/skills/sh0tn1k/telegram-ads/handle-telegram-ads-review-and-declines/github.svg)](https://agentmods.dev/skills/sh0tn1k/telegram-ads/handle-telegram-ads-review-and-declines)
Your own site
<a href="https://agentmods.dev/skills/sh0tn1k/telegram-ads/handle-telegram-ads-review-and-declines"><img src="https://agentmods.dev/badge/skills/sh0tn1k/telegram-ads/handle-telegram-ads-review-and-declines/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/sh0tn1k/telegram-ads/handle-telegram-ads-review-and-declines"><img src="https://agentmods.dev/badge/skills/sh0tn1k/telegram-ads/handle-telegram-ads-review-and-declines.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,102 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.05102
Opus 5 $0.00044 $0.02551
Sonnet 5 $0.00017 $0.01020
Haiku 4.5 $0.00009 $0.00510

Measured 11d ago against content hash 6752fef5486e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

handle-telegram-ads-review-and-declines 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.

skills/handle-telegram-ads-review-and-declines/SKILL.md · 299 lines

How it starts

The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Handle Telegram Ads Review and Declines

Operational procedure for handling moderation outcomes on Telegram Ads. Two flows:

  1. Declined ad — read the rejection reason, classify the policy category, propose a rewrite, re-validate, and either re-submit (new ad) or edit_ad (existing ad) for re-review.
  2. Approved ad — verify the approval is reflected in the tool's view, confirm status: "active", and hand off to ongoing monitoring.

This skill is operational, not strategic. The actual creative direction comes from prepare-and-manage-tg-ads. This skill's job is to drive the tools, classify the rejection, surface the verbatim reason, and gate any submit / edit on the operator's approval.

When to Use

  • A create_ad call returned status: "declined" or an existing ad shows status: "rejected".
  • the operator asks "why was this ad rejected?" / "what's the policy reason?".
  • An ad is in moderation limbo (status: "pending_review") and the operator wants to know what to expect.
  • A live ad is status: "limited" (e.g. reach restricted) and the operator asks why.
  • The same draft has been declined twice — this skill is the right place to escalate the diagnosis.

When NOT to Use

  • The ad is status: "active" but underperforming → use the inspect_ad workflow and review-campaign-results for diagnosis.
  • The ad is being created for the first time → use create-telegram-ads-campaign-workflow.
  • Bulk-cleaning declined ads → that's a separate cleanup skill / decision.

Operating Discipline (mandatory)

  • Read-only tools (get_ad, get_rejection_info, explain_rejection, validate_ad) are SAFE_READ and need no approval.
  • Any submission to moderation (a fresh create_ad after rewrite, or edit_ad on an existing declined ad) requires the operator's approval per the standard flow in create-telegram-ads-campaign-workflow.
  • No manual browser fallback to read the rejection page. The typed tools expose the structured reason. If they fail, surface the failure, do not bypass.

Read the full file on GitHub · 299 lines

Changes

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.

  1. 11d ago First seen · 299 lines · 87 tokens per session scan A 6752fef5486e

Subscribe to this mod's changes

handle-telegram-ads-review-and-declines is a skill published in the GitHub repository sh0tn1k/telegram-ads (0 stars, last pushed 11d ago), licensed MIT. It adds 87 tokens to every session and 5,102 once invoked, about $0.0004 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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