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 laporan-compilegit 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/laporan-compile)<a href="https://agentmods.dev/skills/dikdns/upi-rpl-laporan-magang/laporan-compile"><img src="https://agentmods.dev/badge/skills/dikdns/upi-rpl-laporan-magang/laporan-compile/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/laporan-compile"><img src="https://agentmods.dev/badge/skills/dikdns/upi-rpl-laporan-magang/laporan-compile.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 | $0.00028 | $0.00685 |
| Opus 5 | $0.00014 | $0.00342 |
| Sonnet 5 | $0.00006 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
laporan-compile 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Step 1 — Cek config
test -f ~/.claude/magang-tools/config.json && echo "ok" || echo "missing"
Jika missing → "Jalankan /rpl-magang:init dulu." Stop.
Step 2 — Tentukan output dir dan nama file
Cek $ARGUMENTS untuk --output-dir. Default: ./laporan-draft/
Baca config.file_naming.laporan untuk nama file output default.
Jika student_identity.nama ada di config, ekspansi {nama_mhs} → nama mahasiswa.
Default: Laporan_MBKM.docx
Step 3 — Cek section yang sudah ada
ls [output_dir]/*.md 2>/dev/null
Cek section wajib dari config.document_structure.bagian_awal:
- Halaman Judul →
cover.md - Lembar Pengesahan →
lembar-pengesahan.md - Kata Pengantar →
kata-pengantar.md
Jika ada yang belum ada, tampilkan warning:
⚠️ [Section] belum dibuat — sesuai pedoman ini wajib ada.
Buat dulu dengan /rpl-magang:laporan [section] atau lanjut tanpa itu?
Tunggu konfirmasi user sebelum compile.
Step 4 — Compile
~/.claude/magang-tools/venv/bin/python \
~/.claude/magang-tools/scripts/generate_laporan.py \
--sections-dir [output_dir] \
--output [output_filename]
Parse JSON output. Jika error → tampilkan pesan error, stop.
Step 5 — Konfirmasi
Tampilkan:
✅ Laporan berhasil di-compile!
Output : [output_path]
Ukuran : [file_size]
📋 Langkah selanjutnya:
1. Buka file di Microsoft Word
2. Klik kanan di bagian DAFTAR ISI → "Update Field" → "Update entire table"
(ini mengisi nomor halaman dan hyperlink otomatis)
3. Cek page numbering: cover (tidak ada nomor), front matter (i, ii, iii...),
BAB I dst. (1, 2, 3...)
4. Simpan dan kirim sesuai ketentuan P3NK
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 · 89 lines · 28 tokens per session scan A e4a30b0966b2
laporan-compile is a skill published in the GitHub repository DikDns/upi-rpl-laporan-magang (4 stars, last pushed 3mo ago), licensed MIT. It adds 28 tokens to every session and 685 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 2026-08-31.
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