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agentic-loop-upgrade

agentic-loop-upgrade is a skill for Claude Code, Codex from LeoYeAI/openclaw-master-skills. It costs 36 tokens per session (4,256 once invoked), scanned C, original, MIT.

An upgraded workflow for AI agents that adds planning, parallel work, approval checks, retries, saved checkpoints, and visible task state. It is an optional add-on for an agent system.

In plain words
What is it for?
Use it to plan tasks, run independent work in parallel, pause for approval, retry failed actions, save progress, and display the current plan.
Why use it?
It helps keep long or risky agent tasks understandable and recoverable when work fails or needs human approval.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

not rated 2.1krepo +8 1mo ago C scan SkillSpector: warn 36 tokens original MIT

Good fit Use it to plan tasks, run independent work in parallel, pause for approval, retry failed actions, save progress, and display the current plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leoyeai/openclaw-master-skills/agent-mode-upgrades
View source ↗ LeoYeAI/openclaw-master-skills myclaw.ai
About the project

OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.

LeoYeAI/openclaw-master-skills · 2,141 stars · on GitHub · myclaw.ai

Install

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.

Any agent
npx skills add LeoYeAI/openclaw-master-skills --skill agent-mode-upgrades
Clone the repo
git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for agentic-loop-upgrade

README.md
[![agentmods](https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-mode-upgrades/github.svg)](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-mode-upgrades)
Your own site
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-mode-upgrades"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-mode-upgrades/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.

agentmods 80×15 button for agentic-loop-upgrade

Your own site · 80×15
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-mode-upgrades"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-mode-upgrades.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,256 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 105
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Rogue Agent · line 155
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.04256
Opus 5 $0.00018 $0.02128
Sonnet 5 $0.00007 $0.00851
Haiku 4.5 $0.00004 $0.00426

Measured 9d ago against content hash 1140c3189b44, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

agentic-loop-upgrade scanned grade C with 1 finding 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.

The scan reads SKILL.md. This mod also ships 27 executable files (scripts/analyze-task-graph.py, scripts/validate-plan.py, scripts/verify.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

// Notify user: "⚠️ Approve rm -rf? Auto-proceeding in 15s..."
skills/agent-mode-upgrades/SKILL.md · 399 lines

How it starts

The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Enhanced Agentic Loop Skill

A comprehensive upgrade to OpenClaw's agentic capabilities with persistent state, automatic planning, approval gates, retry logic, context management, checkpointing, knowledge graph auto-injection, and channel-aware plan rendering.

📋 Security review? See SECURITY.md for a complete trust and capability audit document including network activity, file write scope, credential handling, and rollback instructions.

Security & Trust Summary

Property Value
Outbound network LLM provider only (inherited from host)
Telemetry / phone-home ❌ None
System prompt modification ✅ Additive-only (appends plan status; never replaces core prompt)
Runner wrapping ✅ Transparent (original runner always called; interceptions logged)
Credential storage ❌ None (inherits host agent auth, stores nothing new)
Persistence Local ~/.openclaw/ only
Enabled by default ❌ No — explicit opt-in required
Approval gates default ✅ On for high/critical risk operations

Status: ✅ Active (v2.3.0)

All components are integrated and working.

Component Status
Mode Dashboard UI ✅ Working
Configuration System ✅ Working
Hook/Wrapper Integration ✅ Working
State Machine ✅ Working
Planning Layer ✅ Working
Parallel Execution ✅ Working
Confidence Gates ✅ Working
Error Recovery ✅ Working
Checkpointing ✅ Working
Memory Auto-Inject ✅ Working (v2)
Discord Plan Rendering ✅ Working (v2)

Features

1. Persistent Plan State

Plans survive across conversation turns. The agent knows where it left off.

import { getStateManager } from "@openclaw/enhanced-loop";

const state = getStateManager();
await state.init(sessionId);

// Plan persists in ~/.openclaw/agent-state/{sessionId}.json
state.setPlan(plan);
state.completeStep("step_1", "Files created");
const progress = state.getProgress(); // { completed: 1, total: 5, percent: 20 }

Read the full file on GitHub · 399 lines

Files

What ships with it

60 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.

Changes

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.

  1. 9d ago First seen · 399 lines · 36 tokens per session scan C 1140c3189b44

Subscribe to this mod's changes

agentic-loop-upgrade is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 4,256 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Building agentsPlanningagentskillsai-agentcuratedmyclawopenclawskill-collection
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