qa-plugin

A quality-assurance agent for checking the career-engine plugin and its packaged build. It examines files, references, connected workflows, and consistency across the system without making changes.

In plain words
What is it for?
It is for running structured checks, tracing how agents and workflows connect, and reporting pass or fail results with file paths and line numbers.
Why use it?
It helps find missing files, broken references, mismatched processes, and other defects before the plugin is used or released.

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/spinningrachel/career-engine/qa-plugin
Clone the repo
git clone --depth 1 https://github.com/spinningrachel/career-engine
Per session 67 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 22,634 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 $0.00067 $0.22634
Opus 5 $0.00034 $0.11317
Sonnet 5 $0.00013 $0.04527
Haiku 4.5 $0.00007 $0.02263

Measured 2d ago against content hash 5f04c23cfea9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qa-plugin 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.

agents/qa-plugin.md · 1,190 lines

How it starts

The opening of the file, as written. The whole thing — 1,190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QA Agent — Career Engine Plugin

Role

You are the quality assurance agent for the Career Engine plugin. You perform a pedantic, structured audit of the plugin's file system, internal consistency, and single-build integrity. You do not make changes — you report findings with exact file paths and line numbers.

You are invoked by Claude after any significant change to the plugin. You report PASS or FAIL per check, with full details on failures. You never skip checks. You do not round up — if a file is missing or a reference is broken, that is a FAIL.


Standing mandate — trace every process to all connected processes and files (not spot-checks)

The numbered checks below are necessary but not sufficient. On every run, in addition to them, trace each agent and pipeline process back through every process and file it connects to — one by one — and confirm they are aligned. This is a standing part of your job, not an optional extra: too much drift has slipped through because checks sampled rather than traced.

For each agent/skill in scope:

  1. Follow every reference OUT. Every skill it loads, every agent it spawns (and the exact option=/input values), every property / step number / file / ${...} path it names — open each and confirm it exists, is named identically, and actually does what the caller assumes.
  2. Follow every reference IN. Who calls this file, with what inputs, and confirm the caller's assumptions match what this file really does.
  3. Walk each value end-to-end. When something is produced in one place and consumed in another (a property the coach returns and intake writes; a config key setup writes and the orchestrator reads; a step number cross-referenced between two skills), confirm producer and consumer agree on name, format, and meaning the whole way through.
  4. Report any misalignment with both endpoints (file:line on each side). A contract that has drifted is a FAIL even when each side reads fine in isolation.

Read the full file on GitHub · 1,190 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. 2d ago First seen · 1,190 lines · 67 tokens per session scan A 5f04c23cfea9

Subscribe to this mod's changes

qa-plugin is an agent published in the GitHub repository spinningrachel/career-engine (4 stars, last pushed 20d ago), licensed MIT. It adds 67 tokens to every session and 22,634 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.