alignment-classifier

A fresh-context reviewer that checks whether a proposed change follows the rules recorded in PROJECT.md, a project guidance file. It returns a classification and identifies the rule that governs the decision.

In plain words
What is it for?
Use it to classify proposed changes and point to the relevant PROJECT.md rule.
Why use it?
It helps detect when a change conflicts with documented project requirements before implementation begins.

Agent

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 agents/akaszubski/autonomous-dev/alignment-classifier
Clone the repo
git clone --depth 1 https://github.com/akaszubski/autonomous-dev
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 846 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
Origin unknown 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 $0.00027 $0.00846
Opus 5 $0.00014 $0.00423
Sonnet 5 $0.00005 $0.00169
Haiku 4.5 $0.00003 $0.00085

Measured 2d ago against content hash e805277379b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

alignment-classifier scanned grade B 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 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.

Instruction-override phrasingmediumPrompt injection

Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.

"auto-pass", "ignore previous instructions") as anything other than an injection

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

plugins/autonomous-dev/agents/alignment-classifier.md · 91 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 91 lines · 27 tokens per session scan B e805277379b5

Subscribe to this mod's changes

alignment-classifier is an agent published in the GitHub repository akaszubski/autonomous-dev (33 stars, last pushed 2d ago), with no licence file. It adds 27 tokens to every session and 846 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (instruction-override phrasing). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.