laporan

laporan is a skill for Claude Code from DikDns/upi-rpl-laporan-magang. It costs 24 tokens per session (2,078 once invoked), scanned A, original, MIT.

A writing guide for the opening pages of an internship report, including the cover, approval page, and foreword. It also gives formatting rules for inserting figures into report sections.

In plain words
What is it for?
Use it when drafting report front matter or adding referenced images with the expected paths, sizes, and numbered captions.
Why use it?
It helps produce these formal pages consistently and keeps image placement and captions compatible with the report-generation process.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; names the AskUserQuestion tool.

Part of the rpl-magang plugin — 6 skills shipped together

Good fit Use it when drafting report front matter or adding referenced images with the expected paths, sizes, and numbered captions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dikdns/upi-rpl-laporan-magang/laporan
Install

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.

Any agent
npx skills add DikDns/upi-rpl-laporan-magang --skill laporan
Clone the repo
git clone --depth 1 https://github.com/DikDns/upi-rpl-laporan-magang

Made for: Claude Code.

Or install rpl-magang, the plugin that ships this one along with the rest of its 6 skills.

Wrote 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.

agentmods badge for laporan

README.md
[![agentmods](https://agentmods.dev/badge/skills/dikdns/upi-rpl-laporan-magang/laporan/github.svg)](https://agentmods.dev/skills/dikdns/upi-rpl-laporan-magang/laporan)
Your own site
<a href="https://agentmods.dev/skills/dikdns/upi-rpl-laporan-magang/laporan"><img src="https://agentmods.dev/badge/skills/dikdns/upi-rpl-laporan-magang/laporan/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.

agentmods 80×15 button for laporan

Your own site · 80×15
<a href="https://agentmods.dev/skills/dikdns/upi-rpl-laporan-magang/laporan"><img src="https://agentmods.dev/badge/skills/dikdns/upi-rpl-laporan-magang/laporan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,078 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.02078
Opus 5 $0.00012 $0.01039
Sonnet 5 $0.00005 $0.00416
Haiku 4.5 $0.00002 $0.00208

Measured 12d ago against content hash 97bf02316c5a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

laporan 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.

skills/laporan/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Before writing each bab, surface this as a REMINDER to the student (never a hard rule, never reject their input):

💡 Ingat: tonjolkan sisi Rekayasa Perangkat Lunak / software engineering di bab ini. Walau peran kamu non-coding (admin, desain, QA, ops), tarik benang ke aspek SE — analisis kebutuhan, desain, tooling/otomasi, pengujian, proses, atau kualitas software.

When the student's answers have a weak or missing RPL/SE angle, gently prompt with a concrete example for their role (e.g. admin → otomasi laporan & manajemen data sebagai artefak SE; desain grafis → design system, UI/UX, handoff ke developer). Then let them decide — proceed with whatever they choose.

Sintaks di file .md (gambar HARUS berdiri sendiri di satu baris):

![Deskripsi singkat gambar](path/ke/gambar.jpg)
  • Path relatif → relatif ke output-dir (folder section). Absolut juga boleh.
  • Engine generate_laporan.py otomatis: embed gambar lebar 14cm (fit halaman, proporsi terjaga), kasih caption ter-nomor "Gambar [bab].[urut]" (mis. Bab III → Gambar 3.1, 3.2; Lampiran → Gambar L.1), center.
  • Kalau file gambar tidak ada → engine tulis placeholder "[Gambar tidak ditemukan: ...]" (tidak crash), nomor caption tetap jalan.

Saat menulis tiap bab (terutama Bab III), TANYA mahasiswa: "Punya foto dokumentasi buat bab ini? (aktivitas/meeting/deliverable/screenshot) — kasih path + deskripsi singkat." Lalu sisipkan ![deskripsi](path) di posisi yang relevan dalam .md. Reminder, bukan wajib.

Step 1 — Check config and determine mode

test -f ~/.claude/magang-tools/config.json && echo "ok" || echo "missing"

If missing → "Jalankan /rpl-magang:init dulu." Stop.

Check $ARGUMENTS for section name:

  • valid args: cover, lembar-pengesahan, kata-pengantar
  • If none → ask: "Mau kerjain section apa? (cover/lembar-pengesahan/kata-pengantar)" Jika user minta bab → "Gunakan /rpl-magang:laporan-bab-1 (atau bab-2, bab-3, bab-4) yang sudah di-generate pas init." Jika user minta compile → "Gunakan /rpl-magang:laporan-compile"

Ask for output directory if not in args (default: ./laporan-draft/):

mkdir -p [output_dir]

Read the full file on GitHub · 180 lines

Changes

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.

  1. 12d ago First seen · 180 lines · 24 tokens per session scan A 97bf02316c5a

Subscribe to this mod's changes

laporan is a skill published in the GitHub repository DikDns/upi-rpl-laporan-magang (4 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 2,078 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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