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 DikDns/upi-rpl-laporan-magang --skill pksgit clone --depth 1 https://github.com/DikDns/upi-rpl-laporan-magangWrote 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/dikdns/upi-rpl-laporan-magang/pks)<a href="https://agentmods.dev/skills/dikdns/upi-rpl-laporan-magang/pks"><img src="https://agentmods.dev/badge/skills/dikdns/upi-rpl-laporan-magang/pks/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/dikdns/upi-rpl-laporan-magang/pks"><img src="https://agentmods.dev/badge/skills/dikdns/upi-rpl-laporan-magang/pks.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 | $0.00031 | $0.01231 |
| Opus 5 | $0.00015 | $0.00616 |
| Sonnet 5 | $0.00006 | $0.00246 |
| Haiku 4.5 | $0.00003 | $0.00123 |
Grade A, and why
pks 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Step 1 — Check config
test -f ~/.claude/magang-tools/config.json && echo "ok" || echo "missing"
If missing → "Jalankan /rpl-magang:init dulu." Stop.
Config pks_template_path (null = bundled official template, the default).
Step 2 — Collect partner (PIHAK KEDUA) information
Jika config.json punya student_identity.mitra, pakai sebagai default nama
perusahaan (PIHAK KEDUA) — konfirmasi, jangan tanya ulang dari nol.
Ask:
- Nama perusahaan/instansi lengkap (mis. PT/CV/Yayasan ...)
- Nama penandatangan pihak perusahaan (nama lengkap, biasanya HURUF KAPITAL)
- Jabatan penandatangan (mis. Direktur / Kepala Divisi ...)
- Alamat lengkap perusahaan
- Nomor telepon (ketik "-" kalau tidak ada)
- Fax (ketik "-" kalau tidak ada)
- Wilayah/kota perusahaan (untuk frasa "di wilayah ___", contoh: Jakarta)
Step 3 — Agreement date (terbilang + numeric)
The template spells the date out in words AND digits. Ask the student for each part (manual, no auto-conversion):
- Hari (contoh: Senin)
- Tanggal terbilang (contoh: Satu — atau "Dua Puluh Tiga")
- Bulan (contoh: Juni)
- Tahun terbilang (contoh: Dua Ribu Dua Puluh Enam)
- Tanggal numerik dd-mm-yyyy (contoh: 01-06-2026)
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 · 123 lines · 31 tokens per session scan A bad1c204d6a2
pks is a skill published in the GitHub repository DikDns/upi-rpl-laporan-magang (4 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 1,231 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 2026-08-31.
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