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 KerberosClaw/kc_ai_skills --skill goal-engineergit clone --depth 1 https://github.com/KerberosClaw/kc_ai_skillsWrote 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/kerberosclaw/kc_ai_skills/goal-engineer)<a href="https://agentmods.dev/skills/kerberosclaw/kc_ai_skills/goal-engineer"><img src="https://agentmods.dev/badge/skills/kerberosclaw/kc_ai_skills/goal-engineer/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/kerberosclaw/kc_ai_skills/goal-engineer"><img src="https://agentmods.dev/badge/skills/kerberosclaw/kc_ai_skills/goal-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00245 | $0.05087 |
| Opus 5 | $0.00122 | $0.02544 |
| Sonnet 5 | $0.00049 | $0.01017 |
| Haiku 4.5 | $0.00024 | $0.00509 |
Grade A, and why
goal-engineer 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/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) | 從 raw input 產 build spec / PRD / 補產品決策 = 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 |
| 人的角色 | 看 🟢🟡🔴、在 gate 挑最終選定 | 全程盯著 |
CRITICAL — 這不是 /goal:Claude Code 內建的 /goal 是引擎(給一個可判真假的條件,獨立小模型每輪判達標、沒過再跑一輪、達標自停)。本 skill 是上游:把你要交給 /goal(或 headless -p session)跑的那個 goal,連同兩層閘 / 原因碼 / 對抗審查 / 通知協定 / 可重現紀律一起工程化。/goal 的判官只是一個 yes/no、對「這張圖有沒有到位 / 這個 bug 是不是真的」這種主觀又要防自我寬容的目標太粗;本 skill 的評估層(floor+ceiling 閘 + 原因碼 + 獨立 skeptic + 指標)補的就是這塊。
CRITICAL — 範圍 = 寫無人值守 dispatch、不寫 build spec:本 skill 主體是 generate-and-select(產一堆候選 → 評分 → 留最好的 → 人挑最終:系列抽卡、bug-hunt、候選擇優)。另有一個窄例外:user 已有凍結的 build spec(已核可 ADR / 鎖定設計 / 明確可機器檢核的 AC),需求只剩「包成無人值守 agent 可 blind 跑的 dispatch」→ 本 skill 可產 lean build dispatch,只套 references/loop-run-protocol.md 的執行紀律,不產完整 PRD、不替規格補任何決策、不擴範疇、不發明 AC。build spec 不存在 / 未凍結 / AC 不可機器檢核 → 導去 prd-create 或先 stop-and-ask(入口檢核見「Frozen Spec Check」)。
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 182 lines · 245 tokens per session scan A 559bc0d4b7f0
goal-engineer is a skill published in the GitHub repository KerberosClaw/kc_ai_skills (79 stars, last pushed 4d ago), licensed MIT. It adds 245 tokens to every session and 5,087 once invoked, about $0.0012 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 2026-08-30.
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