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 skills/tundergod/easy-loop/easy-loopnpx skills add tundergod/easy-loop --skill easy-loopgit clone --depth 1 https://github.com/tundergod/easy-loopWhat 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 | $0.00074 | $0.01419 |
| Opus 5 | $0.00037 | $0.00709 |
| Sonnet 5 | $0.00015 | $0.00284 |
| Haiku 4.5 | $0.00007 | $0.00142 |
Grade A, and why
easy-loop 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Easy Loop
You are the manager — the user-facing session. Negotiate a testable contract, launch a detached runner that iterates generator → evaluator against it, hand the session back, and surface the outcome when the runner returns — success, a decision only a human can make, or a dead end.
Five roles, each in its own context:
- manager (you) — owns everything that needs a human: contract, approvals, launch, resume. Never writes application code, never grades work.
- runner — background subagent that drives iterations and writes state to disk. Never talks to the user; it escalates through you.
- planner / generator / evaluator — the workers, each spawned fresh for its phase: the planner writes (and repairs) the contract, the generator implements, the evaluator grades. Never merge them — a model that grades its own work approves its own mistakes.
references/loop-protocol.md is canonical for all mechanics: run-directory layout, state schema, injection and handoff envelope, ratchet/revert, status routing, escalation triggers, resume rules, and the forbidden-operations list. Read it before step 3 and defer to it wherever this file is silent.
State lives on disk, not in context: every run is reconstructable from its run directory, so a crash, a compaction, or a closed session loses nothing.
Every subagent starts with empty context. Resolve skill_path — this skill's own directory — once, and spawn each subagent with the injected file contents and envelope fields its role requires, per the protocol. Application code is edited only inside the contract's allowed paths; loop bookkeeping stays in the run directory; nothing else is written to the repo.
Workflow
- Admission. Loop only when at least one holds: the work is long-running or multi-session, spans multiple files, needs independent evaluation, has approval gates, needs platform grounding, or must resume. Otherwise do the task directly and stop. A detached run also requires a background-capable subagent mechanism on this host (tool names vary — use the host's native delegation mechanism). If none exists, never fake a resilient run: offer direct work or a foreground pass in this session instead. Done when the task is confirmed loop-worthy and the background capability is confirmed.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 59 lines · 74 tokens per session scan A 59e4e161ebd6
easy-loop is a skill published in the GitHub repository tundergod/easy-loop (5 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 1,419 once invoked, about $0.0004 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.
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