audit-autopilot

A command for reviewing an autopilot run after it finishes. It examines the run's session traces to compare what happened with the workflow's stated contract.

In plain words
What is it for?
Use it to audit a specified autopilot session and report how faithfully the workflow followed its contract.
Why use it?
It helps reveal execution errors, points where the process drifted from its instructions, and sources of friction, with evidence from the recorded run.

Command

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.

agentmods
npx agentmods add commands/matthewye/opencode-toolbox/audit-autopilot
Clone the repo
git clone --depth 1 https://github.com/MatthewYe/opencode-toolbox
Per session 47 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 106 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00047 $0.00106
Opus 5 $0.00023 $0.00053
Sonnet 5 $0.00009 $0.00021
Haiku 4.5 $0.00005 $0.00011

Measured 2d ago against content hash fc11d8c09715, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

audit-autopilot 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 2d 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.

commands/audit-autopilot.md · 9 lines

What it actually says

Load the audit-autopilot skill and execute this request:

Audit the autopilot execution with orchestrator session {{sessionId}}.

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. 2d ago First seen · 9 lines · 47 tokens per session scan A fc11d8c09715

Subscribe to this mod's changes

audit-autopilot is a command published in the GitHub repository MatthewYe/opencode-toolbox (5 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 106 once invoked, about $0.0002 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.