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 agentmods add instructions/groktopus/loop-designer/agents-mdgit clone --depth 1 https://github.com/groktopus/loop-designerWhat 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 | $0.00336 | $0.00336 |
| Opus 5 | $0.00168 | $0.00168 |
| Sonnet 5 | $0.00067 | $0.00067 |
| Haiku 4.5 | $0.00034 | $0.00034 |
Grade A, and why
loop-designer AGENTS.md 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 2d 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
loop-designer
Autonomous agent loop design in 10 steps. See SKILL.md for full methodology.
This skill distills Alex (@de1lymoon)'s 10-step roadmap into concrete Hermes Agent invocations — from /goal with goal_judge to unattended cron loops with memory, verification, and fail-safe guardrails.
Quick Reference
| Step | Article Move | Hermes Mechanism |
|---|---|---|
| 1 | Agent is a loop | /goal loops via goal_judge |
| 2 | Harness first | Dedicated profile with tool-config pruning |
| 3 | System improves, not model | Memory + skills compound across runs |
| 4 | Independent grader | goal_judge + kanban tasks with acceptance criteria |
| 5 | Maker/checker split | delegate_task verifier subagent |
| 6 | Timer, then cloud | profile-created cronjob seeds kanban on 60s tick |
| 7 | Compose with workflows | delegate_task batch + kanban deps |
| 8 | Memory | State log + durable memory + skills |
| 9 | Distill into skills | skill_manage patch-on-fail lifecycle |
| 10 | Fail safe | Restricted profile + enabled_toolsets + repeat cap |
Prerequisites
- Hermes Agent with
/goaland/subgoalcommands goal_judgeauxiliary model configured- Kanban dispatcher, cronjob, skill_manage, and memory tools
- A dedicated Hermes profile for running the loop
Loading
skill_view(name="loop-designer")
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.
- 2d ago First seen · 34 lines · 336 tokens per session scan A 94a649d85ce9
loop-designer AGENTS.md is an instructions file published in the GitHub repository groktopus/loop-designer (5 stars, last pushed 1mo ago), licensed MIT. It adds 336 tokens to every session, about $0.0017 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 instructions, from other repositories
codex AGENTS.md
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next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.