automate-me

automate-me is a skill for Claude Code from J-StaR-Films-Studios/VibeCode-Protocol-Suite. It costs 70 tokens per session (1,766 once invoked), scanned A, a copy of automate-me, ISC.

A workflow for turning your working preferences and habits into a reusable skill for an AI coding agent.

In plain words
What is it for?
Use it to create, update, or refresh a personal mode that guides an agent to follow your preferred way of working.
Why use it?
It saves you from repeating how you want work done and can use recent conversations as evidence when shaping those instructions.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents.

Good fit Use it to create, update, or refresh a personal mode that guides an agent to follow your preferred way of working.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/j-star-films-studios/vibecode-protocol-suite/automate-me
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 J-StaR-Films-Studios/VibeCode-Protocol-Suite --skill automate-me
Clone the repo
git clone --depth 1 https://github.com/J-StaR-Films-Studios/VibeCode-Protocol-Suite

Made for: Claude Code.

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 automate-me

README.md
[![agentmods](https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/automate-me/github.svg)](https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/automate-me)
Your own site
<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/automate-me"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/automate-me/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 automate-me

Your own site · 80×15
<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/automate-me"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/automate-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,766 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 89% copy Near-identical to another mod 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 $0.00070 $0.01766
Opus 5 $0.00035 $0.00883
Sonnet 5 $0.00014 $0.00353
Haiku 4.5 $0.00007 $0.00177

Measured 11d ago against content hash 34e7eab6f495, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

automate-me 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.

Origin

This is a copy

89% identical to automate-me — 34 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

assets/.agent/skills/agent-engineering/automate-me/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automate me

A guided flow for turning the user's working conventions into a skill agents will follow. The output is one -mode skill tailored to them (e.g. jay-mode, priya-mode).

This skill orchestrates three others: an inline mining pass (see step 1), Cursor's built-in create-skill (authoring), and the unslop skill (prose discipline). It sequences them; it doesn't replace them.

Flow

0. Check for an existing skill

Look recursively for .cursor/skills/**/*-mode/SKILL.md and ~/.cursor/skills/*-mode/SKILL.md matching the user's handle. Mode skills can live in a personal category directory (.cursor/skills/<handle>/), not only at the top level. If one exists, confirm intent with AskQuestion (unless they already said "update my skill" or similar):

  • Update the existing skill (default for repeat runs)
  • Start fresh (rare; ask why before doing it)

Update mode changes the rest of the flow:

  • Step 1 mines only history since the skill was last edited (git log -1 --format=%cI <path>).
  • Step 2 asks what's changed or missing, not what to capture from zero.
  • Step 4 edits the existing file in place. Preserve sections the user hasn't contradicted; revise ones with new evidence; add new sections only for genuinely new rules.

1. Mine their history

Locate the active workspace's transcripts before fanning out. The system prompt names the workspace's agent-transcripts/ directory. Use only that path. Don't glob across ~/.cursor/projects/*/. That crosses workspace boundaries and reads private chats from unrelated projects.

Survey recent agent conversations within that scope for recurring patterns. Run multiple parallel subagents across slices of history (e.g. last 2-4 weeks, split into 3 slices so each has enough material). Each slice mining subagent reads transcripts from the workspace-scoped path the parent provides, looks for the signals below, and returns a short structured list of patterns it saw with evidence pointers. Default signals worth hunting:

Read the full file on GitHub · 110 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 · 110 lines · 70 tokens per session scan A 34e7eab6f495

Subscribe to this mod's changes

automate-me is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (24 stars, last pushed today), licensed ISC. It adds 70 tokens to every session and 1,766 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to automate-me, differing in 34 lines, and is treated as a copy.

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