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 agentmods add skills/techkwon/neis-school-cli/neis-school-clinpx skills add techkwon/neis-school-cli --skill neis-school-cligit clone --depth 1 https://github.com/techkwon/neis-school-cliWhat 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 | $0.00060 | $0.00416 |
| Opus 5 | $0.00030 | $0.00208 |
| Sonnet 5 | $0.00012 | $0.00083 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
neis-school-cli 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 2d 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.
What it actually says
Claude NEIS School CLI Skill
Use this skill when the user wants:
- 학교명으로 학교 코드 찾기
- 학교 급식 조회
- 학교 시간표 조회
- JSON 형태로 기계가 읽기 쉬운 결과 받기
Execution
- Run
bash /Users/techkwon/Documents/MyApps/neis-school-skill/skills/neis-school-cli/scripts/run-neis-cli.sh ... - Prefer
--jsonwhen the result will be consumed by another tool or UI - If school names are ambiguous, add
--region
Examples
bash /Users/techkwon/Documents/MyApps/neis-school-skill/skills/neis-school-cli/scripts/run-neis-cli.sh school search "세종과학예술영재학교" --json
bash /Users/techkwon/Documents/MyApps/neis-school-skill/skills/neis-school-cli/scripts/run-neis-cli.sh meal --school "늘봄초등학교" --region "세종" --date 2026-03-16 --json
bash /Users/techkwon/Documents/MyApps/neis-school-skill/skills/neis-school-cli/scripts/run-neis-cli.sh timetable --school "세종과학예술영재학교" --region "세종" --date 2026-03-16 --grade 1 --classroom 1 --json
Contract
- JSON output includes
ok,cli,provider,command,endpoint,query,count, anddata - Reference:
/Users/techkwon/Documents/MyApps/neis-school-skill/docs/ai/cli-manifest.json
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.
- 2d ago First seen · 32 lines · 60 tokens per session scan A 16799f6863aa
neis-school-cli is a skill published in the GitHub repository techkwon/neis-school-cli (2 stars, last pushed 5mo ago), licensed MIT. It adds 60 tokens to every session and 416 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.
Other skills, from other repositories
nemoclaw-user-guide
Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs…
study-strategy-selector
Recommend practical study strategies matched to the material, learning goal, assessment, time, and learner constraints. Use for revision planning, homework routines, independent study, replacing ineffective habits, or adapting recall, spacing, explanation, and practice activities.
ai-claim-checker
Evaluate factual claims in AI-generated text and teach a lightweight verification habit. Use when a learner wants to fact-check an AI answer, identify uncertainty, choose appropriate independent sources, or practise critical AI literacy.
retrieval-practice-generator
Generate low-stakes retrieval-practice questions with grounded answer notes and implementation guidance. Use for quiz starters, revision activities, delayed recall, misconception checks, or adapting recall difficulty.
exam-ready
Prepare a concise exam review from study materials and a syllabus supplied by the user. Use for topic summaries, recall questions, MCQ cues, and time-limited revision plans that must stay grounded in those materials.
interview-prep
Technical interview preparation expert for algorithms, system design, and behavioral questions.