A short checklist for spotting warning signs that a workplace situation may be risky. It is designed for moments when something feels wrong but the specific concern is unclear.

Use it to assess workplace risk when team behavior, management decisions, or other signals suggest that the situation may be unsafe or unstable.

It turns a vague feeling into a quick review of observable signals. The description does not say what actions to take after the scan.

scan — Command by workingclass-ai

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/workingclass-ai/workingclass/scan

Clone the repo

git clone --depth 1 https://github.com/workingclass-ai/workingclass

Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 892 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. 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.

Model	Per session	Once invoked
Fable 5	$0.00051	$0.00892
Opus 5	$0.00026	$0.00446
Sonnet 5	$0.00010	$0.00178
Haiku 4.5	$0.00005	$0.00089

Measured yesterday against content hash 6e2421468ff6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

scan 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 yesterday.

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.

skills/laborer-companion/commands/scan.md · 93 lines

The source is not reproduced here

No licence file

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.

yesterday First seen · 93 lines · 51 tokens per session scan A 6e2421468ff6

Subscribe to this mod's changes

scan is a command published in the GitHub repository workingclass-ai/workingclass (9 stars, last pushed 1mo ago), with no licence file. It adds 51 tokens to every session and 892 once invoked, about $0.0003 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.

Research ai-agent ai-skill career chinese claude-code claude-skill

scan

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

The source is not reproduced here

No licence file

What this file has done since we first saw it

Other commands, from other repositories

omg-debug

omg-legal

omg-bot

omg-health

omg-pay

omg-refund