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 yellowbee686/everything-analysis-agent --skill academic-searchgit clone --depth 1 https://github.com/yellowbee686/everything-analysis-agentWrote 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/yellowbee686/everything-analysis-agent/academic-search)<a href="https://agentmods.dev/skills/yellowbee686/everything-analysis-agent/academic-search"><img src="https://agentmods.dev/badge/skills/yellowbee686/everything-analysis-agent/academic-search.svg" alt="Measured on agentmods" 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 | $0.00059 | $0.00499 |
| Opus 5 | $0.00030 | $0.00249 |
| Sonnet 5 | $0.00012 | $0.00100 |
| Haiku 4.5 | $0.00006 | $0.00050 |
Grade A, and why
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 7d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Search
Overview
Use Semantic Scholar as the default live academic search source. Prefer the bundled scripts/semantic_scholar.py CLI for deterministic JSON retrieval, then synthesize results in the user's requested language.
Workflow
- Clarify the research target only when the query is underspecified. Otherwise search directly.
- Run
scripts/semantic_scholar.py search-papers "<query>" --limit <n>with focused fields. - Inspect titles, abstracts, venue, year, citation count, influential citation count, authors, and open-access URLs.
- Fetch paper details for high-value candidates with
get-paperwhen abstracts, references, citations, or external IDs are needed. - Fetch author details with
get-authoronly when the user asks about a person, publication record, or author disambiguation. - Summarize with explicit uncertainty. Do not invent claims beyond returned metadata.
Commands
On Windows, follow the current agent environment. Use WSL2 if the agent is already in WSL2; otherwise native Windows Python is fine for this skill.
Search papers:
python3 skills/academic-search/scripts/semantic_scholar.py search-papers "retrieval augmented generation" --limit 10
Get paper details:
python3 skills/academic-search/scripts/semantic_scholar.py get-paper CorpusID:208324896
Get author information:
python3 skills/academic-search/scripts/semantic_scholar.py get-author 1741102
References
- Read
references/query-workflows.mdfor field presets, filtering, deduplication, and synthesis guidance. - Use
SEMANTIC_SCHOLAR_API_KEYwhen available. The script also works without it, subject to public rate limits.
Output Rules
- Cite paper titles, years, venues, and paper IDs or URLs when available.
- Separate search results from interpretation.
- Mention API or rate-limit failures plainly and include the failed command when useful.
- Prefer compact tables for paper comparisons and concise bullets for literature summaries.
What ships with it
3 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.
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.
- 7d ago First seen · 54 lines · 59 tokens per session scan A 2ab4a4cb45db
academic-search is a skill published in the GitHub repository yellowbee686/everything-analysis-agent (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 499 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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