fast-mcp-telegram: Skill for Claude Code

.cursor/skills/clean-up-docs-push/SKILL.md

Clean Up Docs Push is a skill for Claude Code, Cursor from leshchenko1979/fast-mcp-telegram. It costs 15 tokens per session (142 once invoked), scanned A, original, MIT.

A workflow for cleaning up code, updating project documentation, and pushing the resulting changes to a Git repository. Git is a system for tracking code changes and sharing them with a remote repository.

In plain words
What is it for?
Use it after code changes to run checks, fix quality issues, update the README and documentation, create a commit, and push it to the remote repository.
Why use it?
It groups several release-preparation tasks that are easy to forget, including lint checks, tests, documentation updates, and a descriptive commit.

Skill for Claude CodeCursor

Written for Claude Code and Cursor: disable-model-invocation in frontmatter, but also installed under .cursor/. Also seen: mentions subagents.

This is leshchenko1979/fast-mcp-telegram's own configuration. It tells Claude Code and Cursor how to work on fast-mcp-telegram itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fast-mcp-telegram configures →

Reuse

Borrowing it

Nothing to install: this file belongs to leshchenko1979/fast-mcp-telegram. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/leshchenko1979/fast-mcp-telegram/master/.cursor/skills/clean-up-docs-push/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/leshchenko1979/fast-mcp-telegram

Made for: Claude Code, Cursor.

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 Clean Up Docs Push

README.md
[![agentmods](https://agentmods.dev/badge/skills/leshchenko1979/fast-mcp-telegram/clean-up-docs-push/github.svg)](https://agentmods.dev/skills/leshchenko1979/fast-mcp-telegram/clean-up-docs-push)
Your own site
<a href="https://agentmods.dev/skills/leshchenko1979/fast-mcp-telegram/clean-up-docs-push"><img src="https://agentmods.dev/badge/skills/leshchenko1979/fast-mcp-telegram/clean-up-docs-push/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 Clean Up Docs Push

Your own site · 80×15
<a href="https://agentmods.dev/skills/leshchenko1979/fast-mcp-telegram/clean-up-docs-push"><img src="https://agentmods.dev/badge/skills/leshchenko1979/fast-mcp-telegram/clean-up-docs-push.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 142 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 pass 7 Sept 2026
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 $0.00015 $0.00142
Opus 5 $0.00008 $0.00071
Sonnet 5 $0.00003 $0.00028
Haiku 4.5 $0.00002 $0.00014

Measured 10d ago against content hash 3e2aa657ae6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

Clean Up Docs Push 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 10d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.cursor/skills/clean-up-docs-push/SKILL.md · 20 lines

What it actually says

Workflow

  1. Code Cleanup (use code-cleanup-specialist subagent):

    • Run linter checks on modified files
    • Fix any code quality issues
    • Run test suite to verify everything passes
  2. Update Docs:

    • Update README.md - add new features to Features table and update tool descriptions
    • Update docs/ folder - check all relevant files and update with new features
  3. Git Push:

    • Create descriptive commit
    • Push to remote
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. 10d ago First seen · 20 lines · 15 tokens per session scan A 3e2aa657ae6c

Subscribe to this mod's changes

Clean Up Docs Push is a skill published in the GitHub repository leshchenko1979/fast-mcp-telegram (49 stars, last pushed 16d ago), licensed MIT. It adds 15 tokens to every session and 142 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.