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 agentmods add commands/abhinavbwj/aec-scholar/paper-draftgit 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/paper-draft)<a href="https://agentmods.dev/commands/abhinavbwj/aec-scholar/paper-draft"><img src="https://agentmods.dev/badge/commands/abhinavbwj/aec-scholar/paper-draft.svg" alt="Measured on agentmods" 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 | $0.00457 |
| Opus 5 | $0.00009 | $0.00229 |
| Sonnet 5 | $0.00003 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
paper-draft 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.
What it actually says
Draft or improve a manuscript section. Request: $ARGUMENTS
Use the academic-writer agent and the academic-writing skill (and aec-domains/research-methods for
domain and method accuracy).
-
Identify the section (Introduction, Background/Lit review, Methods, Results, Discussion, Conclusion, or a thesis chapter) and apply its specific job:
- Introduction: CARS move — territory → niche/gap → occupy; end with an explicit "This paper contributes…".
- Background: synthesize thematically, define the framework, build toward the gap.
- Methods: reproducible detail + justification + validity/ethics.
- Results: findings without interpretation; lead with the answer to each RQ; numbers + uncertainty.
- Discussion: interpret, compare with prior work, theoretical + practical/industry implications, honest limitations → future work.
- Conclusion: restate contribution & key findings, no new data.
-
Draft from the user's material. Use only the facts, data and sources the user provides. Where a claim needs a citation the user hasn't supplied, insert
[CITATION NEEDED: …]rather than inventing one. -
Enforce style. Clarity, claim→evidence→warrant, correct tense/voice, SI units with uncertainty, consistent terminology, defined acronyms, calibrated hedging (no over-claiming), and AEC reviewer expectations (explicit contribution, practical implications, generalizability limits, reproducibility).
-
Return the drafted section plus a brief note of (a) the key edits/choices and (b) every place the author must supply evidence, data, or a citation.
Integrity: never fabricate data, results, or references. You are drafting the author's argument from the author's material — flag every gap that only they can fill.
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 · 35 lines · 17 tokens per session scan A e0a504823cdc
paper-draft 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 457 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…
master_analysis
Run comprehensive 5-phase analysis across labs, genetics, and protocols.
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.