A skill for writing or reviewing runnable task contracts for coding agents such as Codex, Claude Code, and Cursor.

Use it to create, tighten, review, or catalogue a goal prompt that tells an agent exactly what to do and how to prove it is finished.

It turns a broad engineering request into a specific objective with context, constraints, verification steps, and stopping conditions.

make-goal — Skill for Claude Code and Codex by majiayu000

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 majiayu000/awesome-goal-prompts --skill make-goal

Clone the repo

git clone --depth 1 https://github.com/majiayu000/awesome-goal-prompts

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/majiayu000/awesome-goal-prompts/make-goal/github.svg)](https://agentmods.dev/skills/majiayu000/awesome-goal-prompts/make-goal)

Your own site

<a href="https://agentmods.dev/skills/majiayu000/awesome-goal-prompts/make-goal"><img src="https://agentmods.dev/badge/skills/majiayu000/awesome-goal-prompts/make-goal/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/majiayu000/awesome-goal-prompts/make-goal"><img src="https://agentmods.dev/badge/skills/majiayu000/awesome-goal-prompts/make-goal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,730 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Memory Poisoning · line 40
Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.

Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
high System Prompt Leakage · line 164
Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.

Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00141	$0.02730
Opus 5	$0.00071	$0.01365
Sonnet 5	$0.00028	$0.00546
Haiku 4.5	$0.00014	$0.00273

Measured 12d ago against content hash a05301062d91, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

make-goal 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.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/lint_goal_engine.py, scripts/lint_goal_model.py, scripts/lint_goal_profiles.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/make-goal/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Make Goal

Use this skill to turn engineering intent into a runnable task contract for an agent. The output is a /goal contract, a review of an existing goal, or a catalog-entry draft when explicitly requested. Do not implement the underlying software task unless the user separately asks for execution.

A good goal is not a wish. It is a contract with one measurable objective, real context to inspect, hard constraints, auditable completion, fresh verification, and stop rules for uncertainty or risk.

Operating Modes

create: The user gives a task, issue, failure, plan, or vague request and wants a new /goal.
tighten: The user gives an existing draft and wants it made safer or more executable.
review: The user asks whether a goal is good; lead with defects, missing evidence, and risk.
catalog: The user wants to add a goal pattern to an awesome-goal-prompts style catalog; read references/catalog-contribution.md.

If the user asks for a goal and also asks you to execute it, first produce the goal contract. Execute only after the user confirms or separately asks for execution.

Read Context First

Before drafting, inspect available context instead of guessing:

Read the user's latest request and any pasted error, issue, plan, or draft.
If working in a repository, read the nearest AGENTS.md or CLAUDE.md, relevant issue/PLAN/docs/logs, and the files or commands named by the user.
If the task references CI, tests, browser behavior, screenshots, migrations, production, data, auth, or security, include the concrete evidence source in CONTEXT.
Separate confirmed facts from assumptions. Do not present assumptions as facts.

Ask at most three concise questions only when missing information changes the contract. The highest-value questions are:

What is the one finish line for this goal?
What real files, issue, logs, screenshots, failing command, or baseline must be read first?
What must not change, and what command/report/screenshot proves completion?

Read the full file on GitHub · 199 lines

Files

What ships with it

25 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.

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.

12d ago First seen · 199 lines · 141 tokens per session scan A a05301062d91

Subscribe to this mod's changes

make-goal is a skill published in the GitHub repository majiayu000/awesome-goal-prompts (51 stars, last pushed 1mo ago), licensed CC0-1.0. It adds 141 tokens to every session and 2,730 once invoked, about $0.0007 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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