Agent skill

Goudi

by hylarucoder in hylarucoder/hai-stack

Pressure-tests an ambitious proposal and returns a landing judgment, one minimum viable proof, explicit cuts, success/failure signals, and a stop rule.

Custom licenceAuto-check passedDevOps & Cloud

Install Goudi

skills CLI
$ npx skills add hylarucoder/hai-stack --skill goudi -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hylarucoder/hai-stack goudi --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hylarucoder/hai-stack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/goudi .claude/skills/goudi && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
goudi
GitHub stars
382
Token cost
~1.3k tokens
SKILL.md length
718 words
Files
5 (incl. references)
Skills in repo
18
Repo updated
First seen
Licence
Custom licence

At a glance

Pressure-tests an ambitious proposal and returns a landing judgment, one minimum viable proof, explicit cuts, success/failure signals, and a stop rule.

  • Works in 6 steps: Restate the bold direction in one… → Run a reality check. Scan for the five… → Choose the minimum viable move. Pick one… → …
  • A direction has more vision than executable grounding
  • SKILL.md covers Overview, Core Principle, Workflow and Output, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Goudi is an agent skill from hylarucoder/hai-stack. Pressure-tests an ambitious proposal and returns a landing judgment, one minimum viable proof, explicit cuts, success/failure signals, and a stop rule. Use when a direction has more vision than executable grounding or the user asks how to land it, reduce first-step scope, price risk, or define rollback(落地、别太飘、最小可行、止损). Use geju when the goal is to open the frame rather than ground an existing direction.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `SKILL.zh_CN.md`, `agents/openai.yaml` and `references/anti-patterns.md`).

It sits in DevOps & Cloud.

When your agent uses it

  • A direction has more vision than executable grounding
  • The user asks how to land it
  • Reduce first-step scope
  • Define rollback(落地、别太飘、最小可行、止损)

Example prompts

  • “/goudi”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Restate the bold direction in one sentence. Do not flatten the ambition. Name where it came from — geju, a PRD, an architecture review, or…
  2. Run a reality check. Scan for the five anti-patterns, then name the constraints they expose
  3. Choose the minimum viable move. Pick one narrow vertical slice, proof point, or decision artifact. Define what it changes and what it…
  4. Make verification explicit. Success criteria must be observable; failure signals must be named; the check must be cheap enough to run…
  5. Cut scope aggressively. List what the first move should not attempt. Cut compatibility work not tied to a real contract, architecture…
  6. Define the stop rule. What evidence would kill or pause this direction? What would force a smaller target? What can be rolled back or…

What it can do on your machine

Read from SKILL.md and the folder at commit a6c7ed2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Goudi loads about 1.3k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 718 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 718 words (~1,267 tokens).

“For Chinese readers, see SKILL.zh_CN.md. The English SKILL.md is the execution source of truth.”

— opening of SKILL.md by hylarucoder, Custom licence
name
goudi

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (references) in skills/goudi of hylarucoder/hai-stack.

  • SKILL.md
  • SKILL.zh_CN.md
  • agents/openai.yaml
  • references/anti-patterns.md
  • references/output-template.md

Open the folder on GitHubat commit a6c7ed2

Compare with similar skills

Goudi next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Goudi compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Goudi this skillhylarucoder/hai-stack382—~1.3kAutomated safety check: PassCustom licence
Monitor CInrwl/nx29k6 repos~4.7kAutomated safety check: PassMIT
Terraform and OpenTofu Guideagentscope-ai/QwenPaw35k6 repos~4.2kAutomated safety check: PassApache-2.0
Vercel Optimize Auditvercel-labs/agent-skills32k9 repos~4.3kAutomated safety check: PassNone
Openclaw Live Updateropenclaw/openclaw392k—~3.7kAutomated safety check: PassMIT
Analyze GitHub Action Logswithastro/astro63k1 repos~1.3kAutomated safety check: PassCustom licence

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    29k GitHub starsUsed in 6 repos~4.7k tokens
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  • Terraform and OpenTofu Guide

    agentscope-ai/QwenPaw

    Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.

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Categories

Questions about Goudi

What does Goudi do?

Pressure-tests an ambitious proposal and returns a landing judgment, one minimum viable proof, explicit cuts, success/failure signals, and a stop rule. Goudi is an agent skill from hylarucoder/hai-stack. Pressure-tests an ambitious proposal and returns a landing judgment, one minimum viable proof, explicit cuts, success/failure signals, and a stop rule.

When should I use Goudi?

Goudi fits situations like: A direction has more vision than executable grounding; the user asks how to land it; reduce first-step scope; define rollback(落地、别太飘、最小可行、止损).

How do I install Goudi in Claude Code?

Run `npx skills add hylarucoder/hai-stack --skill goudi -a claude-code`. Or copy the skill folder (skills/goudi in hylarucoder/hai-stack) into .claude/skills/goudi in your project. Claude Code loads it when a task matches its description.

How do I install Goudi in Codex?

Run `npx skills add hylarucoder/hai-stack --skill goudi -a codex`. Or copy the skill folder (skills/goudi in hylarucoder/hai-stack) into .agents/skills/goudi in your project. Codex loads it when a task matches its description.

Can I use Goudi in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hylarucoder/hai-stack --skill goudi -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/goudi, .gemini/skills/goudi, .github/skills/goudi and .opencode/skills/goudi in your project.

What does Goudi need to run?

SKILL.md names no scripts, command-line tools or credentials: Goudi is instructions for the agent only.

Does Goudi access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Goudi safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Goudi use?

Goudi has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Goudi use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 983 tokens, read only when the agent opens those files.

What are the alternatives to Goudi?

Skills that share tags, products or a category with Goudi: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 35k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Openclaw Live Updater (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Goudi?

hylarucoder (a GitHub user) maintains it in hylarucoder/hai-stack, which has 382 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 5, 2026.

Source: hylarucoder/hai-stack on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.