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 mronkko/claude-academic-research --skill academic-stylegit clone --depth 1 https://github.com/mronkko/claude-academic-researchWrote 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/mronkko/claude-academic-research/academic-style)<a href="https://agentmods.dev/skills/mronkko/claude-academic-research/academic-style"><img src="https://agentmods.dev/badge/skills/mronkko/claude-academic-research/academic-style/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/mronkko/claude-academic-research/academic-style"><img src="https://agentmods.dev/badge/skills/mronkko/claude-academic-research/academic-style.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 | $0.00107 | $0.01223 |
| Opus 5 | $0.00053 | $0.00611 |
| Sonnet 5 | $0.00021 | $0.00245 |
| Haiku 4.5 | $0.00011 | $0.00122 |
Grade A, and why
academic-style 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic style
No pre-flight, no bootstrap by design. This is a doctrine skill — pure prose conventions. It does not call MCPs, does not install project scaffolds, and does not need
/setupto have run. The procedural skills (zotero-operations,systematic-review,fact-check,critic-loop) gate themselves oncheck_configured.py; this one stays out of the way.
Core rule
Academic prose follows a small set of conventions that the agent applies
during drafting, not only at revision time. These are the rules the
critic-loop argument critic checks later — but writing them in
correctly the first time reduces how much the critic loop has to
fix.
This skill governs style and conventions only. It does not govern:
- Citation sourcing (Zotero-backed, consulted, claim-supporting) →
grounded-citationsrule-book. - Quantitative claims (numbers from pipeline files) →
empirical-integrityrule-book. - When and how to revise a draft →
manuscript-revision+ thecritic-loopskill.
Citations (APA-style)
Formatting only; sourcing is governed by grounded-citations — follow
both. Format conventions:
- Inline:
[@key]produces "(Smith, 2019)". - Parenthetical with multiple:
[@key1; @key2]produces "(Jones, 2020; Smith, 2019)". - Narrative:
@key [-@key]produces "Smith (2019)" / "Smith's (2019)". - Three or more authors: render as
et al.automatically via the CSL; do not hand-type "et al.". - Cite the most specific pinpointable source. When a claim could come from a review or from the primary paper, cite the primary.
Voice and tense
- Active voice where it strengthens clarity: "We coded 1,243 papers" over "1,243 papers were coded". Passive is acceptable when the actor is unknown or unimportant.
- Methods in past tense (this study's actions): "We ran a pilot search against Scopus".
- Theory and established findings in present (ongoing truth): "Self-efficacy predicts persistence".
- Discussion is present when interpreting ("Our findings suggest") and past when describing what this study did ("We found").
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 · 113 lines · 107 tokens per session scan A 2c7284d13599
academic-style is a skill published in the GitHub repository mronkko/claude-academic-research (23 stars, last pushed 7d ago), licensed MIT. It adds 107 tokens to every session and 1,223 once invoked, about $0.0005 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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