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/Abhinavbwj/AEC-ScholarWrote 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/commands/abhinavbwj/aec-scholar/glossary)<a href="https://agentmods.dev/commands/abhinavbwj/aec-scholar/glossary"><img src="https://agentmods.dev/badge/commands/abhinavbwj/aec-scholar/glossary/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/commands/abhinavbwj/aec-scholar/glossary"><img src="https://agentmods.dev/badge/commands/abhinavbwj/aec-scholar/glossary.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 | $0.00017 | $0.00383 |
| Opus 5 | $0.00009 | $0.00192 |
| Sonnet 5 | $0.00003 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
glossary 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.
What it actually says
Build a glossary for: $ARGUMENTS
Use the aec-domain-expert agent and the aec-domains + aec-standards-codes skills.
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Collect the terms. If text is provided, extract the domain terms, acronyms and abbreviations used. If a topic is given, list the key concepts a reader needs defined.
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Define each precisely in canonical AEC terminology — concise, accurate, and disambiguated where the field is loose (e.g. distinguish digital twin vs digital shadow vs BIM; embodied vs operational carbon; verification vs validation; LOD meanings). Reference the governing standard where one exists (e.g. "per ISO 19650", "EN 15978 stages A1–A3").
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Expand acronyms on first definition (BIM, IFC, LCA, EPD, nZEB, SHM, DfMA, MCDM, SEM, etc.) and keep them consistent.
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Format as an alphabetical glossary table (
Term | Definition | Standard/Note), suitable for a thesis front-matter glossary or a paper's nomenclature section. For LaTeX users, offer aglossaries-package version.
Keep definitions faithful to established usage; flag any term whose meaning is contested in the literature and give the competing senses rather than picking one silently. Don't invent a definition for a term you can't ground — say it needs a source.
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.
- 9d ago First seen · 29 lines · 17 tokens per session scan A 12ef3bb0f621
glossary is a command published in the GitHub repository Abhinavbwj/AEC-Scholar (18 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 383 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
verify-math
Verify a self-authored mathematical result end to end by routing claims across adversarial review, numerical falsification, symbolic or CAS checks, and Lean, then aggregating one report. Use when a theorem, proposition, conjecture, or paper-wide mathematical argument needs the appropriate combination of verification…
replication-package
Scaffold or audit a social-science replication package at a target directory, and audit the manuscript and its archived research objects against FAIR principles.
diff
Quantitative volume comparison between a CadQuery model and a reference STEP file.
simulation-calibrator
Test and refine simulation accuracy with validation loops, bias detection, and continuous improvement frameworks.
arg-diagram
ARG academic-paper diagram mode — standalone structural & conceptual diagram generation.
graphite-morphology-classify
Classify graphite in a cast-iron micrograph per ASTM A247 / ISO 945-1, quantify nodularity, and read the matrix — the single most diagnostic observation in a cast-iron case.