Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/docxology/templatenpx agentmods add skills/docxology/template/academic-pipelineWrote 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-pipeline)<a href="https://agentmods.dev/skills/docxology/template/academic-pipeline"><img src="https://agentmods.dev/badge/skills/docxology/template/academic-pipeline/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-pipeline"><img src="https://agentmods.dev/badge/skills/docxology/template/academic-pipeline.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 | $0.00055 | $0.00851 |
| Opus 5 | $0.00028 | $0.00426 |
| Sonnet 5 | $0.00011 | $0.00170 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade A, and why
template-academic-pipeline 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic pipeline
Template-native orchestrator for the full research-to-publication path. It coordinates existing skills and file-backed controls; it does not introduce an autonomous hidden approval loop.
Natural invoke
- "Run the complete research-to-paper workflow"
- "I already have a paper; review and finalize it"
- "I received reviewer comments; revise and verify"
- "Prepare this manuscript for Zenodo or arXiv"
Inputs to confirm
- Entry point - new research, existing paper, reviewer comments, or finalization.
- Project - active template project or private project path; preserve confidentiality boundaries.
- HITL mode - full-auto, gate-only, checkpoint, or project policy from pipeline control.
- Required gates - claim verification, reproducibility, validation, review, and publication package checks.
Workflow
- Stage map - research -> paper plan/draft -> claim verification -> read-only review -> revision -> re-review -> reproducibility -> validation -> final package.
- Material passport - record handoffs as file paths and generated artifacts: search corpus, claim ledger, evidence registry, artifact manifest, snapshots, validation reports, and reviewer matrices.
- Human checkpoints - use existing HITL controls for gate-only or checkpoint approvals; detached review files live under
output/hitl/. - Integrity gates - run claim verification before review and finalization; run the deterministic reference-existence gate (no fabricated/mismatched/anachronistic citations) and the prose-quality scan; run double-run reproducibility before release claims. These gates are file-backed and deterministic, mirroring the ARS mandatory integrity-check stages but as code, not a hidden agent loop.
- Finalize - render from source, validate outputs, copy deliverables, and document residual risks. Never hand-edit
output/as the fix.
Deliverables
- Pipeline status table: stage, owner skill, inputs, outputs, gate, and next action.
- Material passport summary with artifact paths and verification status.
- Review and revision traceability matrix.
- Final readiness report with claim, reproducibility, validation, and publication checks.
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.
- 9d ago First seen · 79 lines · 55 tokens per session scan A 6807b45427d7
template-academic-pipeline is a skill published in the GitHub repository docxology/template (19 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 851 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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