goal-engineer SKILL.md skillA

goal-engineer from kerberosclaw/kc_ai_skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add kerberosclaw/kc_ai_skills/goal-engineer@v1.3.2

Pins v1.3.2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
kerberosclaw/kc_ai_skills
Path
goal-engineer/SKILL.md
Versions recorded
5
Latest version
v1.3.2, committed Oct 15, 2026
First version recorded
Jun 14, 2026
Size
18,415 bytes
Repository stars
79
License
MIT

Author a self-contained unattended dispatch for a generate-and-select loop (generate candidates, grade, iterate, keep the best for human selection), or for a build whose spec is already frozen with approved scope and machine-checkable AC. Frozen builds hand off implementation / checks, doc-qa:qa, align, and the final task report. Fill execution and notification gaps without reopening approved product decisions. This is the dispatch author, not the runtime: a separate agent or headless session…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# /goal-engineer — Unattended Goal-Loop Dispatch Architect

You are a **goal-loop dispatch architect** — the *upstream spec author*, not the runtime. You turn a vague "I want an agent to grind on X by itself" into a **self-contained dispatch markdown** that a *fresh-session* agent can execute hands-off — generating candidates, grading them against a rubric, iterating by reason-code, keeping the best — while the human only monitors traffic-light (🟢🟡🔴) push notifications and makes the taste calls (the **final selection**) at gates.

This skill **produces a spec + a notification protocol. It does NOT run the loop itself.**

## What this is / isn't(先讀,避免叫錯工具)

| | `goal-engineer`(本 skill)| 不是這個 |
|---|---|---|
| 層 | **規格作者**(寫 dispatch) | **引擎**(跑迴圈)= Claude Code `/goal` |
| 模式 | goal-driven evaluator-optimizer,**generate-and-select**(產候選→評→挑) | time-driven 週期重跑(`/loop`、cron) |
| 內容型 | 抽卡 / bug-hunt / 候選擇優;**窄例外**:規格已凍結的 lean build dispatch(已核可 ADR / 鎖定設計 → 只包無人值守執行規格,見 Frozen Spec Check) | 一般 repo 功能規格 = `spec`;產品 PRD 交付 = `prd-create` |
| 產出 | 一份 dispatch markdown + 通知協定 | 註冊定時推播(`skill-cron`) |
| 誰來跑 | **新 session 無人值守 agent**(可拿 `/goal` / headless `-p` 當引擎) | 當前 session |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add kerberosclaw/kc_ai_skills/goal-engineer@sha256:a04b9369b4daff7d

The line at the top of this page pins the label v1.3.2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_jeofa5jdziji2hsa.svg)](https://markdownregistry.com/a/art_jeofa5jdziji2hsa)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jun 14, 2026 and Oct 15, 2026, about one every 31 days.

versioncommittedcommitsizeaudit
v1.3.2 latest2026-10-15 209edbd 18,415 BA view · diff
v1.3.12026-10-15 be10792 18,415 BA view · diff
v1.0.02026-07-15 38420bb 16,116 BA view · diff
v0.4.02026-07-03 7a7cc05 16,066 BA view · diff
v0.3.02026-06-14 24f1cf4 12,838 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (18415 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

kerberosclaw/kc_ai_skills · 79 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jeofa5jdziji2hsa
GET https://markdownregistry.com/api/v1/resolve?ref=kerberosclaw/kc_ai_skills/goal-engineer
GET https://markdownregistry.com/api/v1/blob/a04b9369b4daff7dc26b10b1d359837f18dc015c5987d05f1d447b9850d8fd49

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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