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.
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-accreditation-aolgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-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/skills/alterlab-ieu/alterlab-academic-skills/alterlab-accreditation-aol)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-accreditation-aol"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-accreditation-aol/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/skills/alterlab-ieu/alterlab-academic-skills/alterlab-accreditation-aol"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-accreditation-aol.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00190 | $0.02894 |
| Opus 5 | $0.00095 | $0.01447 |
| Sonnet 5 | $0.00038 | $0.00579 |
| Haiku 4.5 | $0.00019 | $0.00289 |
Grade A, and why
alterlab-accreditation-aol 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accreditation Assurance-of-Learning — Program-Level AoL for AACSB & ABET
Assurance of Learning (AoL) is the part of accreditation that proves, with evidence, that a program delivers the learning it promises. It is a distinct workload from designing a single course: it operates at the degree-program level, ties program learning outcomes (PLOs) to the curriculum through a mapping matrix, gathers direct and indirect assessment evidence against those outcomes, and writes the closing-the-loop narrative showing the program changed something in response to the data.
This skill scaffolds that documentation for the two accreditors AlterLab faculty most often face — AACSB (business) and ABET (engineering & computing) — in each accreditor's own structure. It drafts text and checks the shape of an outcome-mapping matrix; the school still files its self-study through the accreditor's own portal.
When to Use This Skill
Use this skill when the user needs to:
- Write or refine a set of program learning outcomes / competency goals for a degree program (AACSB competencies, ABET student outcomes).
- Build a curriculum-to-outcome mapping matrix (which courses Introduce / Reinforce / Master each outcome) and check it for coverage gaps.
- Design a direct + indirect assessment plan against the outcomes (which measure, in which course, on what cycle).
- Draft rubrics keyed to a program outcome for direct assessment of student work (the assessment instrument, not a course grade).
- Write a closing-the-loop / continuous-improvement narrative: results → interpretation → action → re-assessment.
- Draft AACSB Standard 5 or ABET Criterion 3/4 self-study prose, or an AoL section of a continuous-improvement report.
Does NOT Trigger — route these elsewhere
| The request is really about… | Route to |
|---|---|
| Designing a single course — its schedule, activities, course-level rubric, learning objectives for one class | alterlab-teaching-design |
| Writing an AI-use / academic-integrity policy for a syllabus | alterlab-syllabus-ai-policy |
| Post-award grant progress/final reports, RPPR, periodic reports, budget variance | alterlab-grant-reporting |
| Designing a survey or questionnaire instrument as a research tool (validity, scales) | alterlab-survey-design |
| An individual's doçentlik promotion eligibility against ÜAK criteria | alterlab-docentlik-eligibility |
| YÖKATLAS program placement / quota / ranking data for a Turkish program | alterlab-yokatlas |
| Verifying the citations in a self-study actually exist | alterlab-citation-verifier |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 207 lines · 190 tokens per session scan A 690739011c88
alterlab-accreditation-aol is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 6d ago), licensed MIT. It adds 190 tokens to every session and 2,894 once invoked, about $0.0010 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 2026-09-05.
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