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 yniantongtian-oss/nature-skills --skill nature-academic-searchgit clone --depth 1 https://github.com/yniantongtian-oss/nature-skillsWrote 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/yniantongtian-oss/nature-skills/nature-academic-search)<a href="https://agentmods.dev/skills/yniantongtian-oss/nature-skills/nature-academic-search"><img src="https://agentmods.dev/badge/skills/yniantongtian-oss/nature-skills/nature-academic-search/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/yniantongtian-oss/nature-skills/nature-academic-search"><img src="https://agentmods.dev/badge/skills/yniantongtian-oss/nature-skills/nature-academic-search.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 | $0.00080 | $0.00933 |
| Opus 5 | $0.00040 | $0.00466 |
| Sonnet 5 | $0.00016 | $0.00187 |
| Haiku 4.5 | $0.00008 | $0.00093 |
Grade A, and why
nature-academic-search 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 12d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Search — Router
This skill is split into two layers:
- A static layer under
static/that holds versioned, reusable content fragments (the MCP tool inventory and shared modules, and source routing plus operational rules). - A dynamic layer (this file plus
manifest.yaml) that detects which workflow the user needs and loads that workflow, reaching for shared modules and scripts only when a step needs them.
Do not try to apply the search logic from memory or from this router. Always load fragments from disk as described below.
Routing protocol
Follow these five steps every time the skill is invoked.
1. Load the manifest and the core layer
Read manifest.yaml. It declares the workflow axis, the allowed values, and the file paths each value maps to.
Also read every file listed under always_load:
static/core/tools.md— the MCP tool inventory (core search, extended search, PubMed utilities) and the shared-module map.static/core/routing-and-ops.md— the T1→T2→T3 source routing quick guide, environment setup, error handling, and limitations.
2. Detect the workflow
Map the user's need to one or more workflow values:
multi-source-search— find literature across sources.citation-verification— verify citations extracted from a document.mesh-strategy— build a MeSH/PubMed search strategy.citation-file-mgmt— convert/manage.nbib/.ris/.bibfiles.reference-mgmt— BibTeX, related-article discovery, ID conversion.
A combined request (for example search then export) may need more than one. State the detected workflow(s) in one short line before proceeding.
3. Load the matching workflow fragment(s)
Read the file mapped for each detected workflow (under references/workflows/). Do not read every workflow. Each workflow file links to the shared modules it needs.
4. Run the workflow using the loaded material
Apply the loaded material in this order:
- Core tools and routing (
core/tools.md,core/routing-and-ops.md) — which MCP tool for which need, and the T1→T2→T3 fallback chain that is the standard execution order across all workflows. - The workflow fragment — its specific steps.
- Shared modules and scripts on demand (dedup, citation parser, search strategy, RIS/BibTeX format, format converter).
What ships with it
43 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.
- config/mcp-snippet.json 502 B
- config/settings-snippet.json 59 B
- config/triggers-academic-search.toml 477 B
- install.sh 3.6 KB runs code
- manifest.yaml 2.5 KB
- mcp-server/academic_search_server.py 21 KB runs code
- mcp-server/config.toml 249 B
- mcp-server/README.md 1.8 KB
- mcp-server/requirements.txt 109 B
- mcp-server/sources/__init__.py 352 B runs code
- mcp-server/sources/arxiv.py 11 KB runs code
- mcp-server/sources/crossref.py 6.8 KB runs code
- mcp-server/sources/elsevier_common.py 2.4 KB runs code
- mcp-server/sources/pubmed.py 11 KB runs code
- mcp-server/sources/sciencedirect.py 6.9 KB runs code
- mcp-server/sources/scopus.py 19 KB runs code
- mcp-server/tests/__init__.py 40 B runs code
- mcp-server/tests/test_elsevier_live.py 2.6 KB runs code
- mcp-server/tests/test_mcp_tools.py 2.6 KB runs code
- mcp-server/tests/test_sources.py 26 KB runs code
- mcp-server/utils/__init__.py 359 B runs code
- mcp-server/utils/config.py 1.4 KB runs code
- mcp-server/utils/errors.py 620 B runs code
- mcp-server/utils/logging.py 1.1 KB runs code
- README.md 2.2 KB
- references/citation-parser.md 2.7 KB
- references/dedup-engine.md 1.9 KB
- references/pubmed-28344011.bib 3.3 KB
- references/pubmed-28344011.nbib 12 KB
- references/pubmed-28344011.ris 3.4 KB
- references/ris-bibtex-format.md 4.3 KB
- references/search-strategy.md 2.0 KB
- references/source-tiers.md 2.7 KB
- references/workflows/wf1-multi-source-search.md 1.9 KB
- references/workflows/wf2-citation-verification.md 1.6 KB
- references/workflows/wf3-mesh-strategy.md 538 B
- references/workflows/wf4-citation-file-mgmt.md 1.4 KB
- references/workflows/wf5-reference-mgmt.md 1.3 KB
- scripts/converters.py 18 KB runs code
- scripts/format-converter.py 19 KB runs code
- scripts/preflight.py 3.7 KB runs code
- static/core/routing-and-ops.md 3.2 KB
- static/core/tools.md 3.0 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.
- 12d ago First seen · 72 lines · 80 tokens per session scan A 2414b1f600a5
nature-academic-search is a skill published in the GitHub repository yniantongtian-oss/nature-skills (24 stars, last pushed 3mo ago), licensed MIT. It adds 80 tokens to every session and 933 once invoked, about $0.0004 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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