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 YuanyuanMa03/academic-research-skills --skill ieee-advanced-searchgit clone --depth 1 https://github.com/YuanyuanMa03/academic-research-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/yuanyuanma03/academic-research-skills/ieee-advanced-search)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/ieee-advanced-search"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/ieee-advanced-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/yuanyuanma03/academic-research-skills/ieee-advanced-search"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/ieee-advanced-search.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 | $0.00037 | $0.02013 |
| Opus 5 | $0.00018 | $0.01007 |
| Sonnet 5 | $0.00007 | $0.00403 |
| Haiku 4.5 | $0.00004 | $0.00201 |
Grade A, and why
ieee-advanced-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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IEEE Xplore Advanced Search
Perform a filtered search on IEEE Xplore using command search syntax via URL parameters.
Command Search Syntax
IEEE Xplore supports boolean command search via the queryText parameter with matchBoolean=true. Field names are enclosed in double quotes.
Available Fields
| Field | Syntax | Example |
|---|---|---|
| All Metadata | "All Metadata":term |
"All Metadata":deep learning |
| Document Title | "Document Title":term |
"Document Title":transformer |
| Authors | "Authors":name |
"Authors":Hinton |
| Author Affiliations | "Author Affiliations":org |
"Author Affiliations":MIT |
| Publication Title | "Publication Title":name |
"Publication Title":IEEE Access |
| Abstract | "Abstract":term |
"Abstract":neural network |
| Index Terms | "Index Terms":term |
"Index Terms":convolutional |
| Author Keywords | "Author Keywords":term |
"Author Keywords":federated learning |
| IEEE Terms | "IEEE Terms":term |
"IEEE Terms":machine learning |
| DOI | "DOI":value |
"DOI":10.1109/TPAMI.2024.1234567 |
| ISSN | "ISSN":value |
"ISSN":0162-8828 |
| ISBN | "ISBN":value |
"ISBN":978-1-7281-1234-5 |
| Article Number | "Article Number":value |
"Article Number":8876906 |
| Funding Agency | "Funding Agency":name |
"Funding Agency":NSF |
| ORCID | "ORCID":value |
"ORCID":0000-0001-2345-6789 |
Boolean Operators
Fields can be combined with AND, OR, NOT:
("Document Title":deep learning AND "Authors":LeCun)
("Abstract":transformer OR "Abstract":attention) AND "Authors":Vaswani
Year Range
Use ranges parameter for year filtering:
ranges=2020_2025_Year
Content Type Filter
Use contentType parameter:
contentType=conferences # Conference papers only
contentType=periodicals # Journal/magazine articles only
contentType=standards # Standards only
contentType=books # Books only
Steps
Step 1: Parse user intent
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 · 188 lines · 37 tokens per session scan A 2f754c82333b
ieee-advanced-search is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 37 tokens to every session and 2,013 once invoked, about $0.0002 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.
Other skills, from other repositories
agent-platform-tuning
Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use agent-platform-deploy), or managing serving endpoints (use agent-platform-endpoint-management).
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
gke-alert-configuration
Configures alerting policies in Terraform for Google Kubernetes Engine (GKE) clusters, workloads, and services using PromQL and Google Cloud Managed Service for Prometheus. Use when writing, analyzing, validating, or deploying Terraform alerting policies to monitor GKE service latency, traffic, error rates using…
application-design-center-design-deploy
Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting…
cloud-run-basics
Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
gke-ai-troubleshooting-jobset-interruption
Diagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously. Use when troubleshooting JobSet restart loops, spot VM preemptions, node readiness failures, host VM issues, or coordinator worker crashes. Don't use for general GKE cluster creation, basic workload deployment, or…