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/rebel0789/memory-recall/loop-action-efficiencynpx skills add rebel0789/Memory-Recall --skill loop-action-efficiencygit clone --depth 1 https://github.com/rebel0789/Memory-RecallWrote 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/rebel0789/memory-recall/loop-action-efficiency)<a href="https://agentmods.dev/skills/rebel0789/memory-recall/loop-action-efficiency"><img src="https://agentmods.dev/badge/skills/rebel0789/memory-recall/loop-action-efficiency.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 | $0.00000 | $0.00305 |
| Opus 5 | $0.00000 | $0.00152 |
| Sonnet 5 | $0.00000 | $0.00061 |
| Haiku 4.5 | $0.00000 | $0.00030 |
Grade A, and why
loop-action-efficiency 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.
What it actually says
Loop Action Efficiency
Purpose
Keep each loop action small, reused, and measurable. Use existing repo contracts, helpers, tests, docs, and generated artifacts before creating new code.
Procedure
- Restate the current loop action and stop condition in one sentence.
- Search for the nearest existing primitive, fixture, script, schema, or UI model that already covers the behavior.
- Follow the laziness ladder in order: reuse an existing primitive, adapt the nearest boundary, make the smallest coherent edit, and generate new code only when the first three options do not satisfy the plan.
- Before writing, name the expected file boundary and the validation command.
- After writing, report measured effect only: changed files, diff size, and any
available
contextBudgetvalues. Do not claim provider billing savings.
Guardrails
- The skill is instruction-only and read-only. It never grants write authority.
- Do not add dependencies, adapters, daemons, schedulers, or framework layers.
- Do not broaden filesystem, network, approval, memory, or policy scope.
- Stop when the next action is outside the loop plan or needs human review.
Completion
Return skill:loop-action-efficiency, status, action ladder, reused primitive,
changed boundary, validation result, measured contextBudget or "unestimated",
residual risk, rollback, and confirmation that no write authority was granted by
the skill itself.
What ships with it
1 file 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 · 34 lines · 0 tokens per session scan A 94e3a764337c
loop-action-efficiency is a skill published in the GitHub repository rebel0789/Memory-Recall (8 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 305 tokens. 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 2026-09-04.
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