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 oghie/skillsets --skill academic-research-journalgit clone --depth 1 https://github.com/oghie/skillsetsWrote 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/oghie/skillsets/academic-research-journal)<a href="https://agentmods.dev/skills/oghie/skillsets/academic-research-journal"><img src="https://agentmods.dev/badge/skills/oghie/skillsets/academic-research-journal/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/oghie/skillsets/academic-research-journal"><img src="https://agentmods.dev/badge/skills/oghie/skillsets/academic-research-journal.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 | $0.00063 | $0.01037 |
| Opus 5 | $0.00032 | $0.00518 |
| Sonnet 5 | $0.00013 | $0.00207 |
| Haiku 4.5 | $0.00006 | $0.00104 |
Grade A, and why
academic-research-journal 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Research Journal
Core Rule
Evaluate and build academic work as a chain of claims: problem -> literature gap -> question -> design -> data -> measurement -> analysis -> interpretation -> contribution. Do not reward polish when the research logic is weak, and do not dismiss useful work merely because realistic constraints create limitations.
First Pass
- Classify the task: evaluate, design, draft, revise, review, respond to reviewers, audit sources, or plan evidence synthesis.
- Classify the article type: quantitative, qualitative, mixed methods, experimental, quasi-experimental, survey, field, case study, action research, policy/program evaluation, computational/big-data, literature review, systematic review, meta-analysis, theory, commentary, critique, or non-academic essay.
- Extract the research skeleton: problem, purpose, question, theory, population/case, sample/data, measures, design, analysis, findings, limitations, contribution, and claim strength.
- Identify the intended inference: exploratory insight, description, association, causality, mechanism, prediction, interpretation, policy/practice decision, or cumulative evidence.
- Define the evidence needed and mark gaps as
I/I = insufficient information; mark inapplicable criteria asN/A.
Required Reads By Task
- Existing paper, essay, or article evaluation:
tasks/evaluate-existing-work.md,references/research-quality-principles.md, andreferences/journal-readiness-scorecard.md. - Article type or methods classification:
references/article-type-matrix.md. - Section-level critique:
references/section-evaluation-matrix.md. - Sampling, measures, experiments, qualitative, quantitative, mixed methods, survey, or program evaluation:
references/methods-evaluation-matrix.md. - Literature review, systematic review, or meta-analysis:
tasks/evidence-synthesis.mdandreferences/evidence-synthesis-and-review.md. - Drafting a manuscript, essay, thesis chapter, or journal article:
tasks/manuscript-production.md. - Research design or empirical validation planning:
tasks/design-research-project.md. - Reviewer simulation, revision strategy, or response letter:
tasks/revision-and-peer-review.md. - Reference, citation, source, ethics, or integrity audit:
tasks/source-and-reference-audit.mdandreferences/integrity-and-source-audit.md.
What ships with it
16 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.
- agent.md 2.8 KB
- agents/openai.yaml 299 B
- references/article-type-matrix.md 4.5 KB
- references/evidence-synthesis-and-review.md 2.9 KB
- references/integrity-and-source-audit.md 3.2 KB
- references/journal-readiness-scorecard.md 3.4 KB
- references/methods-evaluation-matrix.md 6.6 KB
- references/research-quality-principles.md 3.9 KB
- references/section-evaluation-matrix.md 5.5 KB
- scripts/manuscript_static_audit.py 4.3 KB runs code
- tasks/design-research-project.md 2.1 KB
- tasks/evaluate-existing-work.md 1.8 KB
- tasks/evidence-synthesis.md 1.9 KB
- tasks/manuscript-production.md 2.8 KB
- tasks/revision-and-peer-review.md 2.1 KB
- tasks/source-and-reference-audit.md 1.5 KB
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 · 60 lines · 63 tokens per session scan A 09fad53c8adb
academic-research-journal is a skill published in the GitHub repository oghie/skillsets (9 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 1,037 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 2026-08-31.
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