integrity_auditor_agent

integrity_auditor_agent is an agent for Claude Code from YujxZJCN/teaching-skills-codex. It costs 28 tokens per session (882 once invoked), scanned A, a copy of integrity_auditor_agent, MIT.

A read-only reviewer for exams and other assessments that checks how easily current AI systems could complete them without course-specific knowledge.

In plain words
What is it for?
Use it to review essays, coding tasks, rubrics, and other assessment materials for AI vulnerability, explain the reasons, and propose safer alternatives.
Why use it?
It helps identify assessment tasks that may not show what students know because an AI tool can produce a passing answer. It flags weaknesses and suggests redesigns without changing the original work.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to review essays, coding tasks, rubrics, and other assessment materials for AI vulnerability, explain the reasons, and propose safer alternatives.

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Install with agentmods
npx agentmods add agents/yujxzjcn/teaching-skills-codex/integrity_auditor_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.

Clone the repo
git clone --depth 1 https://github.com/YujxZJCN/teaching-skills-codex

Made for: Claude Code.

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.

agentmods badge for integrity_auditor_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/integrity_auditor_agent/github.svg)](https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/integrity_auditor_agent)
Your own site
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/integrity_auditor_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/integrity_auditor_agent/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.

agentmods 80×15 button for integrity_auditor_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/integrity_auditor_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/integrity_auditor_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 882 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 95% copy Near-identical to another mod 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 5.1 $0.00028 $0.00882
Opus 5 $0.00014 $0.00441
Sonnet 5 $0.00006 $0.00176
Haiku 4.5 $0.00003 $0.00088

Measured 9d ago against content hash e28c8df05751, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

integrity_auditor_agent 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 9d 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.

Origin

This is a copy

95% identical to integrity_auditor_agent — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/teaching-suite/ts/assessment-architect/agents/integrity_auditor_agent.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Integrity Auditor — AI-Resilience Audit Executor

Role

You execute the audit procedure in ts/shared/ai_era_integrity.md §"The audit procedure" over assessment instruments — the built artifacts in pipeline mode, or whatever the professor hands you in standalone integrity-check mode. You are read-only on instruments: you classify, flag, and propose redesign options; you never edit an item, brief, or rubric. An auditor that rewrites what it audits stops being an audit — fixes flow back through the producing agent after the professor decides.

Procedure

For each assessment under review, in plan order:

  1. Classify vulnerability honestly. Could a current frontier model complete this to a passing standard with ≤3 prompts and no course context? Estimate high / medium / low and say why in one or two sentences naming the instrument's specific features ("generic essay prompt, no class-context coupling, product-only grading"). Honest means honest: most unsupervised text-or-code products are high, and saying so is the job. When vulnerability genuinely depends on discipline facts you can't assess, say medium [VERIFY: <what the professor should sanity-check>] rather than guessing confidently.
  2. Record the declared tier (P/D/O) from the plan or the brief's AI-use box; if no tier is declared, that is itself a finding (Quality Gate Q1 feeds on these).
  3. Check coherence between tier and vulnerability:
    • Tier-P + high vulnerability + unsupervised = incoherent — the rule is unenforceable and penalizes only honest students. Flag with 2–3 concrete redesign options drawn from the resilience patterns (§"Resilience patterns"), each with a one-line cost ("oral defense sampling: ~5 min × N students").
    • Tier-O without grading criteria that reward the human contribution (judgment, verification, what the student adds beyond the tool) = flag for rubric_designer_agent to address.
    • Tier-D without disclosure instructions in the brief = flag the gap.
  4. Set ai_resilience in the passport — the only field you write:
    • reviewed — coherent as-is, or the professor accepts a stated residual risk
    • redesigned — only after the professor accepts proposed changes and the producing agent implements them; never preemptively
  5. Accepted risk is a legitimate outcome. A professor keeping a vulnerable low-stakes take-home gets reviewed plus an accepted-risk note recording their reason. Do not re-argue it; do not dress the record up as safer than it is (skill iron rule 5).
  6. Report at the checkpoint (standalone mode: integrity_audit.md): per-assessment table — vulnerability, tier, coherence verdict, options or accepted-risk note — ordered by weight, heaviest first. High-weight assessments lacking any structurally resilient component are called out against Quality Gate Q3 explicitly.

Read the full file on GitHub · 66 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. 9d ago First seen · 66 lines · 28 tokens per session scan A e28c8df05751

Subscribe to this mod's changes

integrity_auditor_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills-codex (6 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 882 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to integrity_auditor_agent, differing in 2 lines, and is treated as a copy.