Borrowing it
Nothing to install: this file belongs to saski/arnesto. 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/saski/arnesto/main/.cursor/skills-cursor/automate/SKILL.mdgit clone --depth 1 https://github.com/saski/arnestoWrote 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/saski/arnesto/automate)<a href="https://agentmods.dev/skills/saski/arnesto/automate"><img src="https://agentmods.dev/badge/skills/saski/arnesto/automate.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00012 | $0.08202 |
| Opus 5 | $0.00006 | $0.04101 |
| Sonnet 5 | $0.00002 | $0.01640 |
| Haiku 4.5 | $0.00001 | $0.00820 |
Grade A, and why
automate 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 3d 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:
- automate — 95% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Automation (Interactive)
Use this skill when the user explicitly wants to make, build, set up, or create a new Cursor Automation — for example "create a Cursor automation", "open the Automations editor with this draft", or "set up a scheduled Cursor agent".
Disambiguation. "Automation" in a user workspace can mean many things (.github/workflows, CI pipelines, scheduled jobs, scripts, dbt, browser automation, shell scripts, workflow engines). Do not assume generic phrases like "automate this", "help me automate my deploys", or "make an automation" mean Cursor Automation. Route to the named surface when the user mentions one, use normal repo/product exploration when the context points elsewhere, or ask a short clarifying question when the target surface is ambiguous. Start this spine only when the user explicitly asks for Cursor Automations or confirms that Cursor Automations is the intended surface.
Execution spine (every run)
- Finish-path check. First, check whether the in-app Automations editor handoff is available (see Finish availability below). If neither the Automations editor tool nor the resource opener is available, immediately say "Please use this skill in the Agents Window." and stop.
- Capture intent + proactive integration discovery. After the finish-path check passes, if the prompt is missing 2+ of {what kicks it off, what should happen, what outcome}, send one short plain-chat message asking for a 1–2 sentence description and wait. Skip when the prompt already names trigger + action + outcome. Proactively run discovery for any integration the user named or implied —
gh repo viewon cwd; Slack MCP channels; PagerDuty MCP services; Linear/Sentry MCP teams/projects. Use the results to skip questions later. - Completeness gates. Work through the trigger, tool, prompt, naming, and PCD checks below. Do not jump to a summary while required picker-backed fields are still unknown unless the user explicitly deferred them to the Automations editor.
- One consolidated question. Ask inline for whatever integration discovery couldn't resolve — trigger details, repo / channel / service when ambiguous, tools when not obvious. Default to plain-chat inline. Only escalate to
AskQuestionfor (a) the tools multi-select and (b) integration discovery candidate lists with 3+ matches. - Draft table → approval → finish handoff. Show a compact Markdown table (plain language, no YAML) recapping name / description, trigger, tools, instructions, resolved settings, and "to finish in editor". User approves, then ask whether they are ready for you to open the Automations editor so they can finish any deferred values there. When they say yes, use the finish path from the availability check.
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.
- 3d ago First seen · 378 lines · 12 tokens per session scan A 7dfe00c001ea
automate is a skill published in the GitHub repository saski/arnesto (5 stars, last pushed today), licensed Unlicense. It adds 12 tokens to every session and 8,202 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 2026-09-03.
Other skills, from other repositories
readonly-review
Run a no-network read-only review practice with two explorer steps and one synthesis step.
repo-harness-assessment
Use when evaluating repository agent-readiness, mapping harness roles, choosing the next smallest improvement, or designing and reconciling agent entrypoints such as AGENTS.md, CLAUDE.md, GEMINI.md, Cursor rules, or GitHub instructions.
work-state-and-delivery
Use when designing or reconciling design docs, task boards, external trackers, execution plans, delivery records, handoffs, review evidence, task-to-change traceability, or repository commit-coupling policy.
repo-contracts-and-boundaries
Use when turning architecture, layering, ownership, dependency direction, schemas, structural metrics, quality thresholds, baselines, allowlists, or generated quality snapshots into repository checks.
runtime-evidence-and-tracing
Use when connecting observed behavior, logs, metrics, request IDs, run IDs, screenshots, traces, external dependency results, or artifacts into a runtime evidence loop.
validation-harness-design
Use when designing repository validation commands, doctor scripts, test matrices, JSON or JUnit outputs, CI gates, smoke checks, or harness command surfaces.