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.
curl -O https://raw.githubusercontent.com/leshchenko1979/fast-mcp-telegram/master/.cursor/skills/clean-up-docs-push/SKILL.mdgit clone --depth 1 https://github.com/leshchenko1979/fast-mcp-telegramWrote 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/leshchenko1979/fast-mcp-telegram/clean-up-docs-push)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00015 | $0.00142 |
| Opus 5.5 | $0.00006 | $0.00057 |
| Sonnet 5.5 | $0.00003 | $0.00028 |
| Haiku 4.5 | $0.00002 | $0.00014 |
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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Clean Up Docs Push — 100% identical, 0 lines differ
What it actually says
Workflow
-
Code Cleanup (use
code-cleanup-specialistsubagent):- Run linter checks on modified files
- Fix any code quality issues
- Run test suite to verify everything passes
-
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
- Update
-
Git Push:
- Create descriptive commit
- Push to remote
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.
- 1mo ago First seen · 20 lines · 15 tokens per session scan A 3e2aa657ae6c
Clean Up Docs Push is a skill published in the GitHub repository leshchenko1979/fast-mcp-telegram (50 stars, last pushed 8d ago), licensed MIT. It adds 15 tokens to every session and 142 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
memorix-git-memory
Use when the task depends on commit history, what changed, when a fix shipped, or linking engineering evidence to reasoning memory.
coding-agents-farm
To orchestrate parallel coding-agent farms (Claude, Codex, Copilot, Gemini, etc.) on isolated git worktrees.
commit-pr
Squash the branch into one commit and open or update its pull request (creates a new branch first if on main/master).
deploy-npm
Release an npm package: version, CHANGELOG, publish, verify. Use when "publish this package", "release to npm", or "ship a new npm version". Running-app production deploy → workflow-ship-and-observe.
housekeep-dead-code
Remove dead code by category — one commit each, typecheck and tests between, bisect on red — then add a Knip ratchet. Use when "delete the dead code", "remove unused files", or "wire up Knip". Audit first → plan-dead-code. README/deps → workflow-housekeep.
burndown-full
Drive a planned mechanical change to 100% repo coverage after a run stopped early. Use when "finish the burndown", "it stopped halfway", "apply this everywhere", or "half-migrated". One plan plus deferrals → complete-everything.