A command for a complete, supervised AITS decision analysis. It pauses after each analysis step so a person can approve, correct, redirect, redo, or change the process.

Use it for high-stakes decisions, irreversible changes, and first-time analyses where you want to inspect every stage.

It provides oversight for decisions where mistakes are costly, difficult to reverse, or have important human or ethical consequences.

full — Command for Claude Code by fabiolalli/aits-agents

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.

Clone the repo

git clone --depth 1 https://github.com/fabiolalli/aits-agents

Made for: Claude Code.

Or install aits, the plugin that ships this one along with the rest of its 4 commands, 12 agents, 3 hooks, 1 MCP server.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/fabiolalli/aits-agents/full/github.svg)](https://agentmods.dev/commands/fabiolalli/aits-agents/full)

Your own site

<a href="https://agentmods.dev/commands/fabiolalli/aits-agents/full"><img src="https://agentmods.dev/badge/commands/fabiolalli/aits-agents/full/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/fabiolalli/aits-agents/full"><img src="https://agentmods.dev/badge/commands/fabiolalli/aits-agents/full.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 85 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 915 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.

Model	Per session	Once invoked
Fable 5.1	$0.00085	$0.00915
Opus 5.5	$0.00034	$0.00366
Sonnet 5.5	$0.00017	$0.00183
Haiku 4.5	$0.00009	$0.00092

Measured 3d ago against content hash 5f88a797bffa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

full 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 3d 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.

plugins/aits/commands/full.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engine: this command starts an AITS run with aits_start_run (graph full, mode supervised) and closes it only through aits_synthesize.

/aits:full — Full AITS Analysis (Supervised Mode)

This command activates the Meta-Orchestrator in supervised mode — the highest-depth, highest-oversight AITS flow.

When to use

Irreversible or high-stakes decisions
Decisions with material human, ethical, or strategic consequences
When you want maximum depth and control
First time applying AITS to a new type of decision

What happens

Intake — Meta-Orchestrator reads your problem, matches against references/pattern-library.md, searches .aits/memory/ for similar past decisions, detects a matching playbook from playbooks/
Plan announcement — Meta-Orchestrator tells you the pattern match, the playbook choice, and the planned agent sequence
Execution — Agents run in sequence. After each agent, a checkpoint is presented:

═══════════════════════════════════════════════════
  AITS CHECKPOINT — [Agent] ([Color]) complete
═══════════════════════════════════════════════════
▶ KEY FINDINGS
▶ CONFIDENCE
▶ PATTERN MATCH
▶ HITL FLAGS RAISED
▶ NEXT IN SEQUENCE

▶ YOUR OPTIONS
  [1] ✅ PROCEED
  [2] ✏️  CORRECT
  [3] 🔀 REDIRECT
  [4] 🔁 REDO
  [5] ⏭️  SWITCH TO AUTONOMOUS

═══════════════════════════════════════════════════

Mandatory gates — even in supervised mode, inviolable rules trigger explicit mandatory gates with rule citation
Conflict resolution — when agents conflict, references/conflict-matrix.md is consulted and the assigned arbiter is invoked
Synthesis — Meta-Orchestrator produces the final integrated output with decision, action plan, conflicts resolved, confidence level, and uncovered dimensions
Memory — the decision record is saved to .aits/memory/ for future pattern learning
Dashboard (optional) — if you include "generate dashboard" in your command, an HTML dashboard is produced

Read the full file on GitHub · 97 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.

3d ago First seen · 97 lines · 85 tokens per session scan A 5f88a797bffa

Subscribe to this mod's changes

full is a command published in the GitHub repository fabiolalli/aits-agents (10 stars, last pushed 3d ago), licensed MIT. It adds 85 tokens to every session and 915 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-11-07.

Building agents Planning agentic-ai ai-agents cognitive-agents critical-thinking decision-framework

full next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
fullfabiolalli/aits-agents	Command	10	3d ago	MIT	A	85	Claude Code
reviewfabioc-aloha/Alex_Skill_Mall	Command	5	yesterday	MIT	A	2	Claude Code
prune-sourcefabioc-aloha/Alex_Skill_Mall	Command	5	yesterday	MIT	A	27	GitHub Copilot
add-sourcefabioc-aloha/Alex_Skill_Mall	Command	5	yesterday	MIT	A	25	GitHub Copilot
setup-ai-operationsfabioc-aloha/Alex_Skill_Mall	Command	5	yesterday	MIT	A	27	Claude Code
choose-modelfabioc-aloha/Alex_Skill_Mall	Command	5	yesterday	MIT	A	31	Claude Code
execute-model-taskfabioc-aloha/Alex_Skill_Mall	Command	5	yesterday	MIT	A	35	Claude Code