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 docxology/template --skill academic-paper-reviewergit clone --depth 1 https://github.com/docxology/templateWrote 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/docxology/template/academic-paper-reviewer)<a href="https://agentmods.dev/skills/docxology/template/academic-paper-reviewer"><img src="https://agentmods.dev/badge/skills/docxology/template/academic-paper-reviewer/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/docxology/template/academic-paper-reviewer"><img src="https://agentmods.dev/badge/skills/docxology/template/academic-paper-reviewer.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 | $0.00052 | $0.00667 |
| Opus 5 | $0.00026 | $0.00333 |
| Sonnet 5 | $0.00010 | $0.00133 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
template-academic-paper-reviewer 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 11d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic paper reviewer
Read-only review workflow for template manuscripts. Review reports are separate artifacts; this skill does not edit the manuscript directly.
Natural invoke
- "Review this manuscript like peer reviewers"
- "Focus only on methodology and statistics"
- "Check whether my revisions address the comments"
- "Calibrate the review rubric against a known decision set"
Inputs to confirm
- Manuscript - project manuscript directory or provided paper file.
- Mode - full, quick, methodology-focus, re-review, or calibration.
- Review lens - target venue, discipline, methods, and known reviewer comments.
- Evidence access - rendered PDF, source markdown, output artifacts, validation reports, and claim ledgers.
Workflow
- Read-only boundary - produce reports, matrices, and recommendations only; route edits to academic-paper.
- Panel lenses - separate contribution, methods, evidence/citations, presentation, reproducibility, and adversarial-overclaim checks.
- Evidence audit - cite source file paths, generated artifacts, evidence registry entries, and validation reports when flagging issues.
- Revision traceability - in re-review mode, map each reviewer concern to author action, verification status, residual risk, and next owner.
- No sycophantic concession - do not soften a finding unless new evidence from the manuscript or artifacts resolves it.
Deliverables
- Review package: summary verdict, major issues, minor issues, evidence table, and recommended next actions.
- Methodology-focus mode: methods validity, data/analysis reproducibility, statistical or formalism concerns.
- Re-review mode: traceability matrix with comment, response, evidence checked, verified, and residual issue.
- Calibration mode: rubric, expected decision labels, observed disagreement, and confidence caveats.
Verification commands
uv run python -m infrastructure.validation.cli prerender projects/<project>/manuscript --repo-root .
uv run python -m infrastructure.validation.cli evidence projects/<project> --fail-on-issues
uv run python -m infrastructure.prose.cli report projects/<project>/manuscript
What ships with it
2 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.
- 11d ago First seen · 72 lines · 52 tokens per session scan A 5c73b63e154a
template-academic-paper-reviewer is a skill published in the GitHub repository docxology/template (19 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 667 once invoked, about $0.0003 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.
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