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 MassLab-SII/open-agent-skills --skill student_databasegit clone --depth 1 https://github.com/MassLab-SII/open-agent-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/masslab-sii/open-agent-skills/student_database)<a href="https://agentmods.dev/skills/masslab-sii/open-agent-skills/student_database"><img src="https://agentmods.dev/badge/skills/masslab-sii/open-agent-skills/student_database/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/masslab-sii/open-agent-skills/student_database"><img src="https://agentmods.dev/badge/skills/masslab-sii/open-agent-skills/student_database.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 | $0.00027 | $0.01590 |
| Opus 5 | $0.00014 | $0.00795 |
| Sonnet 5 | $0.00005 | $0.00318 |
| Haiku 4.5 | $0.00003 | $0.00159 |
Grade A, and why
student-database 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 9d 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Student Database Skill
This skill provides tools for processing student database:
- Grade calculation: Calculate student grades from scores
- Duplicate name finder: Find duplicate names in database
- Filter by recommendation: Find students by recommendation grade
- Filter by TOEFL: Find students by TOEFL score threshold
Important Notes
- Do not use other bash commands: Do not attempt to use general bash commands or shell operations like cat, ls.
- Use relative paths: Use paths relative to the working directory (e.g.,
./student_database).
I. Skills
1. Grade-Based Score
Calculate student grades from student database and generate output files.
Features
- Read all basic_info.txt files from student folders
- Extract chinese, math, english scores
- Calculate grades: A(90+), B(80-89), C(70-79), D(60-69), F(<60)
- Generate student_grades.csv and grade_summary.txt
Example
python gradebased_score.py ./student_database
# Specify output directory
python gradebased_score.py ./student_database --output-dir ./output
Output Files
- student_grades.csv: student_id, name, chinese_score, chinese_grade, math_score, math_grade, english_score, english_grade
- grade_summary.txt: Total students, A/B/C/D/F counts per subject, pass/fail counts
2. Duplicate Name Finder
Find duplicate names in student database.
Features
- Scan all student folders
- Extract names from basic_info.txt
- Identify names that appear more than once
- Generate namesake.txt
Example
python duplicate_name.py ./student_database
# Specify output file
python duplicate_name.py ./student_database --output ./namesake.txt
Output Format
name: xxx
count: xxx
ids: xxx, xxx, ...
name: yyy
count: yyy
ids: yyy, yyy, ...
3. Filter by Recommendation Grade
Find students with specified grade(s) from recommendation_letter.txt files.
Features
- Filter by single grade (S, A, B, C, D, F) or multiple grades (e.g., SA for S or A)
- Returns list of matching student folder names
What ships with it
4 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.
- 9d ago First seen · 302 lines · 27 tokens per session scan A 22ffc589d219
student-database is a skill published in the GitHub repository MassLab-SII/open-agent-skills (133 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 1,590 once invoked, about $0.0001 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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