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.
npx skills add ntaffzii/Skill-Agents --skill automation-designgit clone --depth 1 https://github.com/ntaffzii/Skill-AgentsWrote 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/ntaffzii/skill-agents/automation-design)<a href="https://agentmods.dev/skills/ntaffzii/skill-agents/automation-design"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/automation-design/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/ntaffzii/skill-agents/automation-design"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/automation-design.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00059 | $0.00416 |
| Opus 5 | $0.00030 | $0.00208 |
| Sonnet 5 | $0.00012 | $0.00083 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
automation-design 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 9d 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.
What it actually says
Automation Design
Design reliable automation prompts and schedules.
Workflow
-
Identify automation type
- Choose reminder, thread follow-up, daily or weekly report, monitoring task, research digest, or workspace job.
-
Capture requirements
- Clarify task, schedule, timezone, output destination, source rules, language, failure behavior, and whether duplicates should be suppressed.
- Ask only when missing details would change the created automation.
-
Write a self-contained prompt
- Include goal, scope, sources or file boundaries, output format, quality rules, and missing-information behavior.
- Keep schedule settings separate from task instructions.
-
Recommend schedule
- Use human-readable schedule language unless a tool requires structured syntax.
- State the timezone explicitly.
-
Confirm or create
- When an automation tool is available and the user asked to create it, use the tool.
- If schedule or destination is missing, ask before creation.
Prompt Template
Task:
[What Codex should do]
Scope:
[Topics, files, repos, sources, or boundaries]
Quality rules:
- Use reliable sources or concrete local files.
- Include links or file paths.
- State uncertainty clearly.
- Avoid duplicate or low-value items.
Output:
[Markdown report, thread reply, file path, etc.]
Language and tone:
[Thai/English, concise/detailed]
Rules
- Prefer updating an existing automation over creating a duplicate.
- Use current-source tools for news, prices, laws, schedules, product releases, and other changing facts.
- Do not expose raw schedule syntax unless useful.
- Report what will happen, when it will happen, and where the result will appear.
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.
- 9d ago First seen · 59 lines · 59 tokens per session scan A 9fed863edaa0
automation-design is a skill published in the GitHub repository ntaffzii/Skill-Agents (4 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 416 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
skill-compiler
Automatic solved-to-skill compiler — detects novel task completions and autonomously drafts new SKILL.md files. Stolen from Hermes Agent's learning loop (NousResearch, 2026-05-11).
context-compactor
9-section context compression with analysis scratchpad. Adapted from Claude Code's /compact system (2026-03-31).
daemon-loop
Autonomous recurring agent tasks — converts workflows into persistent background daemons that run on intervals. Stolen from Boris Cherny's Claude Code /loop pattern (2026-03-31).
trade-journal-analyzer
Unified post-trade analytics: journal pattern extraction + drawdown classification. Absorbs: drawdown-classifier.
Deep Research Loop
Multi-step web research, compilation, and synthesis workflow. Scrapes multiple sources, cross-references claims, and produces a structured research brief.
academic-delivery
8-step pipeline for academic deliverables — essays, reports, analysis, capstones. Encodes the full intake-to-delivery workflow with automatic red-team triggering.