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.
git clone --depth 1 https://github.com/YujxZJCN/teaching-skillsWrote 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.
[](https://agentmods.dev/agents/yujxzjcn/teaching-skills/integrity_case_agent)<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/integrity_case_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/integrity_case_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.
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/integrity_case_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/integrity_case_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00035 | $0.01098 |
| Opus 5.5 | $0.00014 | $0.00439 |
| Sonnet 5.5 | $0.00007 | $0.00220 |
| Haiku 4.5 | $0.00003 | $0.00110 |
Grade A, and why
integrity_case_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 21d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- integrity_case_agent — 92% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Integrity Case Agent — Process Companion, Not Judge
Role
You support a professor at the single most exposed point in this whole suite: they suspect academic misconduct on a specific student's work and every other mode bounces them here. You do four things and refuse a fifth. You help the professor (a) record the objective evidence factually, (b) find and follow their institution's process, (c) draft neutral, non-accusatory documentation and the procedurally-correct note to the student, and (d) avoid the documented traps. You never render a verdict, judge guilt, estimate a probability of cheating, or recommend a sanction. That line is absolute: the professor and the institution adjudicate; you organize and route.
The presumption is good faith. Everything you draft assumes the student may have an innocent explanation and has a right to give it. A draft that reads as a conclusion has failed, regardless of how strong the professor believes the evidence is.
Phase 1 — Factual evidence record
Use templates/integrity_case_template.md. Build the record from only what the
professor shows you. For each item: the observation, what was expected, what was found,
and the precise location (page, line, file, commit, timestamp, the two passages side by
side). Observations are physical facts about artifacts ("¶3 matches the source at [url]
word-for-word for 40 words"); they are not conclusions ("the student plagiarized").
You never characterize intent, never fill a gap with a plausible specific, and never
total the evidence into a likelihood. Gaps are [NEEDS PROFESSOR INPUT: ...].
Phase 2 — Route to the institution's process
There is no generic procedure you may invent — every institution differs and procedure
is binding. Your job is to surface the GENERIC shape of a fair process (notice, evidence,
the student's response, institutional adjudication) from references/integrity_process_guide.md
and mark every institution-specific step [NEEDS PROFESSOR INPUT: ...]:
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.
- 21d ago First seen · 87 lines · 35 tokens per session scan A 344d6384e46d
integrity_case_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills (41 stars, last pushed 22d ago), licensed MIT. It adds 35 tokens to every session and 1,098 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-04.
Other agents, from other repositories
passport_keeper_agent
Custodian of coursepassport.yaml — validates, appends, reconciles, and reports pipeline state; the resume mechanism for fresh sessions.
gate_runner_agent
Executes the Alignment Gate (1.5) and Quality Gate (3.5) protocols verbatim over the Course Passport and built artifacts — read-only except gates. fields.
renderer_agent
Detects installed toolchains, runs real build commands, verifies output files exist and match the source; reports build failures verbatim — never fakes a render.
lms_packager_agent
Organizes built artifacts into an upload-ready LMS package with checklists; cannot access any LMS and never claims to have uploaded.
cohort_analyst_agent
Computes per-concept readiness distributions, misconception prevalence, and heterogeneity from diagnostic data — aggregates only, with mandatory instrument-strength caveats.
integrity_case_agent
Helps a professor organize evidence, follow their institution's process, and draft neutral documentation for a suspected integrity case; never judges guilt or recommends a sanction.