penilaian-penyelia

penilaian-penyelia is a skill for Claude Code from DikDns/upi-rpl-laporan-magang. It costs 41 tokens per session (976 once invoked), scanned A, original, MIT.

A generator for the official Indonesian supervisor assessment form used in an internship programme. It creates a DOCX document, either blank for handwriting or filled with scores.

In plain words
What is it for?
Use it to create a supervisor assessment document with student, institution, supervisor, placement, signature, and assessment information.
Why use it?
Preparing the form manually can lead to missing identity details or the wrong assessment structure. The generator follows the configured indicators and scoring guidance.

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 to create a supervisor assessment document with student, institution, supervisor, placement, signature, and assessment information.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/dikdns/upi-rpl-laporan-magang/penilaian-penyelia"><img src="https://agentmods.dev/badge/skills/dikdns/upi-rpl-laporan-magang/penilaian-penyelia.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 976 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 $0.00041 $0.00976
Opus 5 $0.00020 $0.00488
Sonnet 5 $0.00008 $0.00195
Haiku 4.5 $0.00004 $0.00098

Measured 12d ago against content hash 4d38ad4bcc1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

penilaian-penyelia 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/penilaian-penyelia/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 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.

The generator reads penilaian_penyelia (indicators, scale, note) from config. If an older config lacks that key, the generator uses the bundled pedoman-v6 default automatically — no re-init required (re-run /rpl-magang:init to refresh).

Step 2 — Collect identity

If config.json has student_identity, use it as defaults (nama→nama_mahasiswa, nim, mitra→nama_institusi, penyelia→nama_penyelia). Confirm, don't re-ask from zero.

Ask (batch with AskUserQuestion where sensible):

  • Nama Penyelia (default from student_identity.penyelia)
  • Nama Institusi Mitra (default from student_identity.mitra)
  • Nama Mahasiswa (default from student_identity.nama)
  • NIM (default from student_identity.nim)
  • Waktu Pelaksanaan (contoh: "Februari 2026 – Juni 2026")
  • Posisi Penyelia (contoh: "Lead Engineer")
  • Tempat & tanggal tanda tangan (contoh: "Bandung, 1 Juni 2026")

Step 3 — Blank or prefilled?

Ask: "Form mau dikosongin (penyelia isi nilai tangan) atau langsung diisi nilai?"

  • Kosong → no nilai (default).
  • Isi → ask the 10 indicator scores (0–100). Show the indicator list from config penilaian_penyelia.indicators so numbering matches. Build a nilai object keyed "1".."10".

Step 4 — Generate DOCX

Read the full file on GitHub · 104 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 · 104 lines · 41 tokens per session scan A 4d38ad4bcc1f

Subscribe to this mod's changes

penilaian-penyelia is a skill published in the GitHub repository DikDns/upi-rpl-laporan-magang (4 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 976 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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