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 cnki-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/cnki-search)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-search"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-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/cnki-search"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-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 | $0.00030 | $0.01318 |
| Opus 5 | $0.00015 | $0.00659 |
| Sonnet 5 | $0.00006 | $0.00264 |
| Haiku 4.5 | $0.00003 | $0.00132 |
Grade A, and why
cnki-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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CNKI Basic Search
Search CNKI for papers using keyword(s). Returns result count and structured result list (titles, URLs, authors, journal, date) in a single call.
Arguments
$ARGUMENTS contains the search keyword(s) in Chinese or English.
Steps
1. Navigate
Use mcp__chrome-devtools__navigate_page → https://kns.cnki.net/kns8s/search
2. Search + extract results (single evaluate_script, NO wait_for)
Replace YOUR_KEYWORDS with actual search terms:
async () => {
const query = "YOUR_KEYWORDS";
// Wait for search input (replaces wait_for)
await new Promise((r, j) => {
let n = 0;
const c = () => { if (document.querySelector('input.search-input')) r(); else if (++n > 30) j('timeout'); else setTimeout(c, 500); };
c();
});
// Check captcha (only if visible on screen, not hidden SDK at top:-1000000)
const outer = document.querySelector('#tcaptcha_transform_dy');
if (outer && outer.getBoundingClientRect().top >= 0) return { error: 'captcha' };
// Fill and submit (verified selectors: input.search-input, input.search-btn)
const input = document.querySelector('input.search-input');
input.value = query;
input.dispatchEvent(new Event('input', { bubbles: true }));
document.querySelector('input.search-btn')?.click();
// Wait for results
await new Promise((r, j) => {
let n = 0;
const c = () => { if (document.body.innerText.includes('条结果')) r(); else if (++n > 30) j('timeout'); else setTimeout(c, 500); };
c();
});
// Check captcha again
const outer2 = document.querySelector('#tcaptcha_transform_dy');
if (outer2 && outer2.getBoundingClientRect().top >= 0) return { error: 'captcha' };
// Extract current page results (merged parse-results)
const rows = document.querySelectorAll('.result-table-list tbody tr');
const checkboxes = document.querySelectorAll('.result-table-list tbody input.cbItem');
const results = Array.from(rows).map((row, i) => {
const titleLink = row.querySelector('td.name a.fz14');
const authors = Array.from(row.querySelectorAll('td.author a.KnowledgeNetLink') || []).map(a => a.innerText?.trim());
const journal = row.querySelector('td.source a')?.innerText?.trim() || '';
const date = row.querySelector('td.date')?.innerText?.trim() || '';
const citations = row.querySelector('td.quote')?.innerText?.trim() || '';
const downloads = row.querySelector('td.download')?.innerText?.trim() || '';
return {
n: i + 1,
title: titleLink?.innerText?.trim() || '',
href: titleLink?.href || '',
exportId: checkboxes[i]?.value || '',
authors: authors.join('; '),
journal,
date,
citations,
downloads
};
});
return {
query,
total: document.querySelector('.pagerTitleCell')?.innerText?.match(/([\d,]+)/)?.[1] || '0',
page: document.querySelector('.countPageMark')?.innerText || '1/1',
results
};
}
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 · 135 lines · 30 tokens per session scan A 0d9920e2aca7
cnki-search is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 30 tokens to every session and 1,318 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…