cleanup-deleted

cleanup-deleted is a skill for Claude Code from terrylica/cc-skills. It costs 31 tokens per session (639 once invoked), scanned A, original, MIT.

A Telegram cleanup tool that finds and removes deleted or banned accounts still shown in your chats or contacts. It can scan without making changes or retry removal with stronger cleanup methods.

In plain words
What is it for?
Use it to scan Telegram dialog lists and contacts, preview the results, or delete these ghost accounts and their conversation history. It requires an existing Telegram session.
Why use it?
It removes stale entries such as accounts displayed as “Deleted Account” when Telegram's chat list still retains them. It also rechecks for entries that survive the first removal attempt.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the tlg plugin — 11 skills shipped together , and of cc-skills

Good fit Use it to scan Telegram dialog lists and contacts, preview the results, or delete these ghost accounts and their conversation history. It requires an existing Telegram session.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/terrylica/cc-skills/cleanup-deleted
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 terrylica/cc-skills --skill cleanup-deleted
Clone the repo
git clone --depth 1 https://github.com/terrylica/cc-skills

Made for: Claude Code.

Or install tlg, the plugin that ships this one along with the rest of its 11 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 cleanup-deleted

README.md
[![agentmods](https://agentmods.dev/badge/skills/terrylica/cc-skills/cleanup-deleted/github.svg)](https://agentmods.dev/skills/terrylica/cc-skills/cleanup-deleted)
Your own site
<a href="https://agentmods.dev/skills/terrylica/cc-skills/cleanup-deleted"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/cleanup-deleted/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.

agentmods 80×15 button for cleanup-deleted

Your own site · 80×15
<a href="https://agentmods.dev/skills/terrylica/cc-skills/cleanup-deleted"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/cleanup-deleted.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 639 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Rogue Agent · line 73
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
How audits are shown
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 $0.00031 $0.00639
Opus 5 $0.00015 $0.00319
Sonnet 5 $0.00006 $0.00128
Haiku 4.5 $0.00003 $0.00064

Measured 5d ago against content hash 840b204b479c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

cleanup-deleted 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 5d 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.

plugins/tlg/skills/cleanup-deleted/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cleanup Deleted Telegram Accounts

Scan and purge deleted/ghost accounts from your Telegram dialog list and contacts. These are accounts that were deleted by their owners or banned by Telegram but still appear as "Deleted Account" in your chat list.

The script uses 3 progressively aggressive deletion methods because Telegram's dialog cache can be stubborn:

  1. delete_dialog — standard removal
  2. DeleteHistoryRequest — force-clear the conversation history
  3. Block + Unblock + delete — resets Telegram's peer state cache, then deletes

After the first pass, it re-scans for survivors and retries with method 3.

Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

Preflight

  1. Session must exist: ~/.local/share/gramjs/<profile>.session
    • If missing, run /tlg:setup first

Usage

/usr/bin/env bash << 'EOF'
ROOT="$(cc-plugin-root tlg)"
SCRIPT="$ROOT/scripts/cleanup_deleted.ts"

# Scan only (no deletions)
bun "$SCRIPT" --dry-run

# Clean all profiles
bun "$SCRIPT"

# Clean specific profile
bun "$SCRIPT" -p eon

# Clean multiple specific profiles
bun "$SCRIPT" -p eon missterryli
EOF

Parameters

Parameter Type Description
-p/--profile list Profiles to clean (default: all)
--dry-run flag Scan and report without deleting

What Gets Cleaned

Source Action
Regular dialogs Deleted user chats removed
Archived dialogs (folder=1) Deleted user chats removed
Contact list Deleted contacts removed
Stubborn ghosts Block+unblock forces cache reset, then delete

Read the full file on GitHub · 76 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. 5d ago First seen · 76 lines · 31 tokens per session scan A 840b204b479c

Subscribe to this mod's changes

cleanup-deleted is a skill published in the GitHub repository terrylica/cc-skills (72 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 639 once invoked, about $0.0002 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 2026-09-05.

Related

Other skills, from other repositories

android-development

Android development with Kotlin, Jetpack Compose, and modern Android architecture. Use when building Android apps, implementing Material Design, or following Android best practices.

travisjneuman/.claude · 33 tokens

email-systems

Transactional email (Resend, SendGrid, SES), templates (React Email, MJML), deliverability (SPF/DKIM/DMARC), and inboxing best practices. Use when building email infrastructure, designing templates, or troubleshooting deliverability.

travisjneuman/.claude · 55 tokens

customer-persona-builder

Data-driven customer persona development combining market research, user behavior analysis, and segmentation frameworks. Use when creating buyer personas, ideal customer profiles (ICPs), or user archetypes.

travisjneuman/.claude · 40 tokens

devops-cloud

DevOps, cloud infrastructure, and platform engineering. Use when working with AWS, GCP, Azure, Kubernetes, Terraform, CI/CD pipelines, or infrastructure as code.

travisjneuman/.claude · 38 tokens

generic-design-system

Complete design system reference for any project - colors, typography, spacing, components, animations. Adapts to project theme and tech stack. Use when implementing UI, choosing colors, creating animations, or ensuring brand consistency. For new design systems, use ui-research skill first.

travisjneuman/.claude · 60 tokens

generic-code-reviewer

Review code for bugs, security vulnerabilities, performance issues, accessibility gaps, and CLAUDE.md workflow compliance. Supports any tech stack - HTML/CSS/JS, React, TypeScript, Node.js, Python, NestJS, Next.js, and more. Use when completing features, before commits, or reviewing pull requests.

travisjneuman/.claude · 70 tokens