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 Dianel555/DSkills --skill literature-searchergit clone --depth 1 https://github.com/Dianel555/DSkillsWrote 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/dianel555/dskills/literature-searcher)<a href="https://agentmods.dev/skills/dianel555/dskills/literature-searcher"><img src="https://agentmods.dev/badge/skills/dianel555/dskills/literature-searcher/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/dianel555/dskills/literature-searcher"><img src="https://agentmods.dev/badge/skills/dianel555/dskills/literature-searcher.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 | $0.00072 | $0.00712 |
| Opus 5.5 | $0.00029 | $0.00285 |
| Sonnet 5.5 | $0.00014 | $0.00142 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
literature-searcher 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 1mo 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Searcher
Run all commands from skills/literature-searcher. The package uses only the
Python standard library.
Search
python -m literature_searcher.searcher search "ionogel flexible sensor" --limit 10
python -m literature_searcher.searcher search "solid electrolyte" \
--platform openalex --platform semantic_scholar --year-from 2020 --year-to 2024
Without --platform, the command searches CrossRef, OpenAlex, PubMed, and
Semantic Scholar. Scopus requires ELSEVIER_API_KEY.
Download Open-Access PDFs
python -m literature_searcher.searcher download --doi 10.1016/j.cej.2022.135593
Downloads query Unpaywall by default. Enable the optional scihub-cli fallback
explicitly with --scihub-fallback auto.
Incremental Monitoring And Insight
New-Item -ItemType Directory -Force data | Out-Null
Copy-Item monitor_config.json.template data/monitor_config.json
Set queries in data/monitor_config.json, then run:
python -m literature_searcher.monitor --config data/monitor_config.json
python -m literature_searcher.insight --input data/monitor_results.json
Monitoring uses the HTTPS DeepLX endpoint in DEEPLX_ENDPOINT by default and
does not require a DeepL API key. To use a local OpenAI-compatible model
service, set LOCAL_LLM_BASE_URL and LOCAL_LLM_MODEL, then pass
--translator local_llm. Translation failures are recorded in the result JSON
and do not stop monitoring.
Python API
| Capability | Import | Entry point |
|---|---|---|
| Multi-platform search | literature_searcher.searcher |
search_papers() |
| Result deduplication | literature_searcher.searcher |
merge_and_deduplicate() |
| PDF download | literature_searcher.downloader |
Downloader.download_by_doi() |
| Paper classification | literature_searcher.classifier |
PaperClassifier.classify() |
| Incremental monitoring | literature_searcher.monitor |
run_monitor() |
| Coverage analysis | literature_searcher.insight |
analyze_coverage() |
What ships with it
15 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.
- .env.example 743 B
- literature_searcher/__init__.py 3.1 KB runs code
- literature_searcher/classifier.py 11 KB runs code
- literature_searcher/crossref_searcher.py 2.8 KB runs code
- literature_searcher/downloader.py 5.3 KB runs code
- literature_searcher/insight.py 6.0 KB runs code
- literature_searcher/monitor.py 14 KB runs code
- literature_searcher/openalex_searcher.py 3.0 KB runs code
- literature_searcher/pubmed_searcher.py 6.1 KB runs code
- literature_searcher/scopus_searcher.py 2.1 KB runs code
- literature_searcher/searcher.py 3.4 KB runs code
- literature_searcher/semantic_scholar_searcher.py 3.1 KB runs code
- monitor_config.json.template 443 B
- README.md 3.7 KB
- tests/test_literature_searcher.py 9.7 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.
- 1mo ago First seen · 78 lines · 72 tokens per session scan A 61219410e3b7
literature-searcher is a skill published in the GitHub repository Dianel555/DSkills (65 stars, last pushed 16d ago), licensed MIT. It adds 72 tokens to every session and 712 once invoked, about $0.0003 per session on Opus 5.5. 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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