loopx-manager

loopx-manager is a skill for Claude Code, Codex from huangruiteng/loopx. It costs 28 tokens per session (1,231 once invoked), scanned A, original, Apache-2.0.

A project-progress reader for authorised LoopX goals, tasks, and deliveries. It gathers records from the relevant configured sources and reports what is covered and what was not reached.

In plain words
What is it for?
Inspecting project goals, reading current tasks and dependencies, identifying decisions for owners, and determining where work should be delegated.
Why use it?
It prevents a local task list or incomplete source read from being mistaken for a full report, especially when work is spread across remote machines.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Inspecting project goals, reading current tasks and dependencies, identifying decisions for owners, and determining where work should be delegated.

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Install with agentmods
npx agentmods add skills/huangruiteng/loopx/loopx-manager
About the project

LoopX is a provider-neutral control plane that gives long-running AI-agent work persistent state, decisions, governance, recovery, and handoffs across different agent harnesses. It is for managing and reviewing durable work performed by Codex, Claude Code, Cursor, dsh, or custom agent systems.

huangruiteng/loopx · 5,799 stars · on GitHub · huangruiteng.github.io

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 huangruiteng/loopx --skill loopx-manager
Clone the repo
git clone --depth 1 https://github.com/huangruiteng/loopx

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 loopx-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/huangruiteng/loopx/loopx-manager/github.svg)](https://agentmods.dev/skills/huangruiteng/loopx/loopx-manager)
Your own site
<a href="https://agentmods.dev/skills/huangruiteng/loopx/loopx-manager"><img src="https://agentmods.dev/badge/skills/huangruiteng/loopx/loopx-manager/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 loopx-manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/huangruiteng/loopx/loopx-manager"><img src="https://agentmods.dev/badge/skills/huangruiteng/loopx/loopx-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,231 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00028 $0.01231
Opus 5 $0.00014 $0.00616
Sonnet 5 $0.00006 $0.00246
Haiku 4.5 $0.00003 $0.00123

Measured today against content hash f9327a42d39e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

loopx-manager 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 today.

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.

loopx/capabilities/manager_context/skills/loopx-manager/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LoopX manager

Choose reads according to the user's question. The initial Goal directory is an index, not a completed investigation. In Chat, use loopx_manager_read:

  • sources: discover configured and audience-authorized evidence sources. For a remote/SSH question, select the matching source_id (for example ssh:research-host) for portfolio, Todo and delivery reads. Never substitute local tasks mentioning SSH for a report from the remote registry. An empty declared host_id is not a reason to skip an available SSH source: the read supplies source_host and source-qualified Goal identity. Report each source's actual coverage and failures. Configuration/discovery alone is not a read. For an all-host report, inspect authorized sources and disclose any not reached; do not present a local-only read as coverage of all machines.

  • portfolio: discover authorized Goals, source quality and coverage. Stopped Goals are excluded by default. Use include_stopped: true only for an explicit historical/stopped-Goal question; a specific Goal ID can then be read.

  • todos with a Goal ID: read current task titles, declared priorities, dependencies and owner decisions. Follow next_offset where relevant.

  • deliveries with a Goal ID: inspect recorded findings, evidence references and validation for the recent reporting window. Join the supplied titles; distinguish recorded claims from independently verified artifacts. When asked for latest known progress rather than only yesterday, use days (1..90) to inspect older recorded deliveries and state their actual dates. Current Todo reads and historical outcomes remain useful even when live execution status is stale; do not present old records as newly executed work.

  • handoffs: inspect this audience's delegated requests, optionally with an exact request_id or Goal ID. Distinguish delivery, receiver CLI read, decision, linked current Core Todos, and evidence references. Paginate before concluding a request is missing. Legacy read/timestamp gaps are unknown, not failed delivery. A read receipt is not proof of understanding; adoption is not task completion. Use the linked Goal/Todo identities to read todos and deliveries when asked what changed or what was produced; a bare digest is not a substantive result. Match the receiving Agent and Todo, and disclose the delivery window and any missing evidence. Group queries omit private receiver reasons and other audiences.

These views reuse Goal Portfolio, Core Todo authority and Core run history, the same source boundaries behind LoopX's global-summary/global-todos/global-gates workflows. This Chat tool is a scoped read interface, not shell access to those commands. Do not invent a global command's arguments or substitute a separate progress ledger. Outside Chat, use the installed CLI's --help and the active interaction contract before choosing the corresponding global-* entrypoint.

For a routine report or priority question, focus on active Goals. Do not inspect stopped Goals just to fill a report. The filter uses Core activation state, never age, stale progress, missing evidence or lack of recent activity.

For an all-Goal report, inspect relevant Goals and dates, then synthesize their concrete results. For "what needs me", read current owner tasks and explain the decision, consequence and work that can continue. Group related findings; choose a useful order from evidence, not Goal order or record counts. Read more when a material detail is missing; do not ask the user to retrieve available Core evidence for you. Each page names its source revision and remaining rows; if revisions change across pages, disclose or refresh the affected read.

A fresh Todo read verifies what Core currently stores; it does not refresh the external condition described by that task. An old "approve this PR" or "grant pilot access" task may already have been satisfied. Before recommending owner action on a PR, deployment, access grant or other external dependency, require current authoritative evidence that the condition still holds. If this evidence is unavailable, report the recorded dependency as unverified and identify Agent reconciliation as the next step. Do not turn an old waiting claim into a present owner obligation, even when its Todo is open. Conflicting completion and waiting records need reconciliation; newer prose alone cannot settle the conflict.

Read the full file on GitHub · 96 lines

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. today First seen · 96 lines · 28 tokens per session scan A f9327a42d39e

Subscribe to this mod's changes

loopx-manager is a skill published in the GitHub repository huangruiteng/loopx (5,799 stars, last pushed today), licensed Apache-2.0. It adds 28 tokens to every session and 1,231 once invoked, about $0.0001 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 2026-09-12.

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