nauro: Skill for Claude Code

.agents/skills/nauro-loop/SKILL.md

nauro-loop is a skill for Claude Code, Codex from Nauro-AI/nauro. It costs 184 tokens per session (4,858 once invoked), scanned A, original, Apache-2.0.

A governed workflow for proposing and coordinating delivery or interview work through stages such as framing, selection, starting, advising, verification and advancement. Agent-proposed work requires human selection and cannot automatically change project records.

In plain words
What is it for?
Use it to originate candidate tasks, have a person choose one, coordinate the selected delivery work and verify each handoff.
Why use it?
It keeps work proposals, approvals and handoffs explicit, reducing the risk that an agent starts unapproved work or records decisions as settled.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; names the AskUserQuestion tool; installed under .agents/ (shared by several agents).

This is Nauro-AI/nauro's own configuration. It tells Claude Code and Codex how to work on nauro itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nauro configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Nauro-AI/nauro. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Nauro-AI/nauro/main/.agents/skills/nauro-loop/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Nauro-AI/nauro

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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agentmods badge for nauro-loop

README.md
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Per session 184 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,858 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 $0.00184 $0.04858
Opus 5 $0.00092 $0.02429
Sonnet 5 $0.00037 $0.00972
Haiku 4.5 $0.00018 $0.00486

Measured 10d ago against content hash 3f87beaf46c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

nauro-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 10d 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.

.agents/skills/nauro-loop/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Nauro loop skill

Run gated work origination and coordinate selected Program Delivery. The Program state machine is FRAME -> CHOOSE -> START -> ADVISE -> VERIFY -> ADVANCE. The coordinator owns the verified frame, sequence, handoff, advisory review, integration verification, and next recommendation. It does not implement, approve, file project truth, push, create a pull request, merge, or start the next slice.

User-named work enters as HUMAN-SELECTED. Agent-originated work keeps read-only ORIENT, 1-3 ranked Delivery and Interview candidates, mandatory SELECT, reject all, and no auto-pick path. Interview remains explicit, separate, and non-authoritative. Synchronous non-program Delivery stays outside the Program state machine and keeps the current nauro-ship-task chain.

Authority boundary

These are authority rules. MCP or shell write paths may exist, but they do not grant the coordinator authority to use them for Program Delivery.

  • The loop cannot automatically change project truth or file decisions. Ordinary prompts, Interview results, Delivery handoffs, and program handbacks create no automatic store artifacts. The scheduled ORIENT selection-checkpoint writes are the narrow exception: they create only the existing SELECT checkpoint and pointer through the filesystem and nauro sync mechanism defined below. A selected Interview returns candidate shared understanding only. After the interview, an explicitly approved propose_decision, update_state, or flag_question payload may be executed through /nauro-interview according to its contract and separate later approval gates. Those writes belong to the interview contract, not loop authority.
  • The coordinator may inspect pull-request and merge state through read-only channels, including gh pr view or an equivalent authenticated read channel, only when a required PR-backed repository-anchor check needs it. This includes ORIENT, Resume, replacement-coordinator recovery, and VERIFY. Read-only inspection does not grant publication authority. The coordinator never pushes, creates or edits a pull request, merges, or performs another publication mutation. Only the direct-user Delivery task may perform approved publication work through its own gates.
  • The loop is NOT a "keep moving" override of any inner gate. A standing "keep going" or auto-mode directive does not clear the SELECT gate, the plan gate, a tech-lead pause, or the push gate. The loop exists to repeat the gated chain, not to bypass it.
  • SELECT is never auto-picked. Neither entry mode picks for the human, not even when exactly one candidate ranks or when a scheduled continuation has one surviving candidate. The synchronous mode surfaces SELECT in the parent session; the scheduled mode parks a SELECT checkpoint and exits before any gate; the resume continuation surfaces SELECT to the human. No path resolves SELECT without the human.
  • A hidden child, ordinary subagent, generic agent, or persistent Delivery child is not a substitute for a fresh direct-user Delivery task.

Read the full file on GitHub · 166 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. 10d ago First seen · 166 lines · 184 tokens per session scan A 3f87beaf46c3

Subscribe to this mod's changes

nauro-loop is a skill published in the GitHub repository Nauro-AI/nauro (10 stars, last pushed yesterday), licensed Apache-2.0. It adds 184 tokens to every session and 4,858 once invoked, about $0.0009 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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