cli-spec-to-goal

cli-spec-to-goal is a skill for Claude Code from nathanonn/agent-skills. It costs 186 tokens per session (4,931 once invoked), scanned A, original, MIT.

A guided converter that turns a rough Node.js command-line tool idea into the files Codex needs for its goal workflow, including the task, checks, and progress record.

In plain words
What is it for?
Use it to define and verify small Node.js command-line tools, optionally create a missing starter project, and prepare an agent command to begin the work.
Why use it?
It helps turn an incomplete idea into an actionable implementation plan without manually designing several supporting files.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool; mentions AGENTS.md.

Part of the cli-spec-to-goal plugin — 1 skill shipped together

Good fit Use it to define and verify small Node.js command-line tools, optionally create a missing starter project, and prepare an agent command to begin the work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nathanonn/agent-skills/cli-spec-to-goal
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 nathanonn/agent-skills --skill cli-spec-to-goal
Clone the repo
git clone --depth 1 https://github.com/nathanonn/agent-skills

Made for: Claude Code.

Or install cli-spec-to-goal, the plugin that ships this one along with the rest of its 1 skill.

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 cli-spec-to-goal

README.md
[![agentmods](https://agentmods.dev/badge/skills/nathanonn/agent-skills/cli-spec-to-goal/github.svg)](https://agentmods.dev/skills/nathanonn/agent-skills/cli-spec-to-goal)
Your own site
<a href="https://agentmods.dev/skills/nathanonn/agent-skills/cli-spec-to-goal"><img src="https://agentmods.dev/badge/skills/nathanonn/agent-skills/cli-spec-to-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.

agentmods 80×15 button for cli-spec-to-goal

Your own site · 80×15
<a href="https://agentmods.dev/skills/nathanonn/agent-skills/cli-spec-to-goal"><img src="https://agentmods.dev/badge/skills/nathanonn/agent-skills/cli-spec-to-goal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 186 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,931 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: 4 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 Privilege Escalation · line 172
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 181
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 177
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 176
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00186 $0.04931
Opus 5 $0.00093 $0.02465
Sonnet 5 $0.00037 $0.00986
Haiku 4.5 $0.00019 $0.00493

Measured 12d ago against content hash df1508195714, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cli-spec-to-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.

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.

plugins/cli-spec-to-goal/skills/cli-spec-to-goal/SKILL.md · 342 lines

How it starts

The opening of the file, as written. The whole thing — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.

cli-spec-to-goal — Vague CLI Idea → Codex /goal Bundle

Turn a rough Node.js CLI tool idea into the three files Codex /goal needs to drive autonomous implementation:

goals/<slug>/
  GOAL.md       what done looks like (full CLI tool template with AI-agent patterns)
  VERIFY.md     how /goal proves it's done (host-native verification)
  PROGRESS.md   the audit trail /goal will populate

The skill optionally scaffolds a missing CLI project (bin/, src/, package.json, AGENTS.md, CLAUDE.md) and prints a tailored /goal command at the end.

Why this skill exists

A full multi-prompt workflow kit is overkill for CLI tools that fit in one or two goal slices. This skill collapses the "spec → goal trio" hop into a single guided conversation that:

  • batches clarifying questions (so the user makes 2-3 decisions per round, not 20)
  • recommends a default for every choice (so they can move fast when the recommendation looks right)
  • bakes in six AI-agent patterns that make every CLI tool machine-friendly from the start
  • writes the same template shapes already validated by the Codex /goal operator pattern

It does not replace the multi-prompt kit for complex CLI suites with 10+ commands. Use the kit for big builds; use this skill for the small-to-medium ones.

The six AI-agent patterns

Every GOAL.md, VERIFY.md, and scaffold generated by this skill includes these patterns. They make CLI tools safe and useful for AI agents to invoke — not just humans.

  1. --json flag on every command — stdout receives only valid JSON; no spinners, colors, or progress bars. Gold standard: the gh CLI.
  2. stdout / stderr separation — data to stdout, diagnostics to stderr, always.
  3. Non-interactive TTY detection — never block on stdin when !process.stdin.isTTY.
  4. Meaningful exit codes — 0 = success, 1 = user/input error, 2 = usage error.
  5. Structured error format — when --json is active: { "error": "CODE", "message": "...", "suggestion": "..." }.
  6. --dry-run on mutating commands — any create/update/delete command previews without executing.

Read the full file on GitHub · 342 lines

Files

What ships with it

4 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.

  1. 12d ago First seen · 342 lines · 186 tokens per session scan A df1508195714

Subscribe to this mod's changes

cli-spec-to-goal is a skill published in the GitHub repository nathanonn/agent-skills (19 stars, last pushed 24d ago), licensed MIT. It adds 186 tokens to every session and 4,931 once invoked, about $0.0009 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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