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 Lingtai-AI/lingtai --skill academic-researchgit clone --depth 1 https://github.com/Lingtai-AI/lingtaiWrote 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/lingtai-ai/lingtai/academic-research)<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/academic-research"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/academic-research/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/lingtai-ai/lingtai/academic-research"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/academic-research.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 | $0.00180 | $0.03606 |
| Opus 5 | $0.00090 | $0.01803 |
| Sonnet 5 | $0.00036 | $0.00721 |
| Haiku 4.5 | $0.00018 | $0.00361 |
Grade A, and why
academic-research scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Bash(python3 *) Bash(curl *) Bash(pip *) Bash(pip3 *) How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Research
Nested swiss-knife reference. A modular skill: try the bundled script first, then load specific reference files only when you need to escape it.
Try this first
For 80% of "get me this paper" requests, the bundled script is the right answer. It walks the open-access ladder, falls back automatically, and writes a manifest the next session can resume from.
# Fetch by any identifier
python3 <skill-path>/scripts/fetch_paper.py 10.1103/PhysRevLett.125.015001
python3 <skill-path>/scripts/fetch_paper.py arXiv:2301.00001
python3 <skill-path>/scripts/fetch_paper.py PMID:12345678
# Batch (one identifier per line in the file)
python3 <skill-path>/scripts/fetch_paper.py --batch dois.txt --out papers/
# Resolve metadata only (no PDF download)
python3 <skill-path>/scripts/fetch_paper.py 10.1038/nature12373 --dry-run
# Skip LibGen (e.g. legal-sensitive environment)
python3 <skill-path>/scripts/fetch_paper.py <id> --no-libgen
Output layout (idempotent — re-runs skip entries with status: ok):
papers/{first-author-year-firstword}/
├── paper.pdf | paper.md # full-text artifact
├── metadata.json # CrossRef-normalized
└── manifest.json # {status, tier, source, ts, doi}
Tier ladder (script stops at first hit):
| Tier | Source | Best for |
|---|---|---|
| 1 | arXiv direct | Preprints (physics, CS, math, q-bio, econ) |
| 2 | Unpaywall | Publisher-blessed gold/green OA |
| 3 | Europe PMC | Biomedical full-text + PMC mirror |
| 4 | CORE | Institutional repositories (needs $CORE_API_KEY) |
| 5 | Publisher-page extract | Nature/APS/AIP/IOP/Cambridge → in-house extractor (stdlib + requests, no third-party deps). Fetches the already-accessible official article / DOI landing page and parses citation_* metadata + the article body into structured Markdown. No paywall/CAPTCHA bypass, no cookies/credentials — official pages only. A login/paywall page is a clean miss; the ladder then falls through. Opt out with --no-publisher-extract. |
| 5b | Authorized publisher | Licensed/institutional access only — official DOI landing page → same-host publisher PDF → %PDF- validation, full provenance. Recovers paywalled-but-subscribed papers without shadow libraries. Never bypasses paywalls or handles credentials. Opt out with --no-institutional. See authorized-publisher-access.md. |
| 6 | LibGen | Last resort; opt out with --no-libgen |
What ships with it
29 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.
- reference/anti-pattern-text-consistency-vs-data-correspondence.md 7.3 KB
- reference/api-arxiv.md 7.0 KB
- reference/api-core.md 4.3 KB
- reference/api-crossref.md 7.0 KB
- reference/api-doi-resolver.md 6.9 KB
- reference/api-europe-pmc.md 4.1 KB
- reference/api-google-scholar.md 7.9 KB
- reference/api-inspire-hep.md 3.8 KB
- reference/api-nasa-ads.md 3.8 KB
- reference/api-openalex.md 8.1 KB
- reference/api-pubmed.md 6.0 KB
- reference/api-semantic-scholar-batch.md 8.8 KB
- reference/api-semantic-scholar.md 6.8 KB
- reference/api-unpaywall.md 6.2 KB
- reference/authorized-publisher-access.md 10 KB
- reference/decision-tree.md 9.7 KB
- reference/error-handling.md 5.4 KB
- reference/evidence-verification-gate.md 9.3 KB
- reference/libgen-fallback.md 7.0 KB
- reference/pipeline-citation-tracking.md 5.2 KB
- reference/pipeline-discovery.md 4.4 KB
- reference/pipeline-latex-writing.md 10 KB
- reference/pipeline-obtain-pdf.md 7.6 KB
- reference/pipeline-scholar-analysis.md 5.0 KB
- reference/publisher-page-extraction.md 7.8 KB
- reference/zotero-institutional-fulltext-handoff.md 14 KB
- scripts/fetch_paper.py 38 KB runs code
- scripts/test_authorized_publisher.py 10 KB runs code
- scripts/test_fetch_paper.py 12 KB runs code
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.
- 8d ago First seen · 175 lines · 180 tokens per session scan A a3e2e9a35ccf
academic-research is a skill published in the GitHub repository Lingtai-AI/lingtai (673 stars, last pushed yesterday), licensed Apache-2.0. It adds 180 tokens to every session and 3,606 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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