Agent skill

Hai Goal

by hylarucoder in hylarucoder/hai-stack

Creates or rewrites a goal document for ambiguous, multi-phase, high-risk, or explicitly planned execution: verifiable outcome, boundary, current state, phases, proof-bearing todos, dry-run, and…

Custom licenceAuto-check passedTesting & QA

Install Hai Goal

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

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

GitHub CLI
$ gh skill install hylarucoder/hai-stack hai-goal --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/hai-goal .claude/skills/hai-goal && 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
hai-goal
GitHub stars
382
Token cost
~2k tokens
SKILL.md length
1,109 words
Files
4 (incl. references)
Skills in repo
18
Repo updated
First seen
Licence
Custom licence

At a glance

Creates or rewrites a goal document for ambiguous, multi-phase, high-risk, or explicitly planned execution: verifiable outcome, boundary, current state, phases, proof-bearing todos, dry-run, and…

  • Works in 10 steps: Freeze the intent. What does the user… → Make the goal verifiable. Rewrite vague… → Convert the goal into a goal document.… → …
  • The user asks for a goal
  • SKILL.md covers Overview, Core Principle, The Goal Document and Workflow, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hai Goal is an agent skill from hylarucoder/hai-stack. Creates or rewrites a goal document for ambiguous, multi-phase, high-risk, or explicitly planned execution: verifiable outcome, boundary, current state, phases, proof-bearing todos, dry-run, and Go/No-Go. Use when the user asks for a goal, plan, phases, todos, or to re-anchor an existing plan(定目标、拆阶段、执行计划). Do not interpose it on a small implementation whose outcome and verification are clear; hand ready work to normal execution, using hai-tdd only for suitable behavior changes.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `SKILL.zh_CN.md`, `agents/openai.yaml` and `references/output-template.md`).

It sits in Testing & QA, covering Feature launches and release readiness and Test-driven development.

When your agent uses it

  • The user asks for a goal
  • Re-anchor an existing plan(定目标、拆阶段、执行计划)

Example prompts

  • “Use the hai-goal skill to create or rewrites a goal document for ambiguous, multi-phase, high-risk, or explicitly planned execution: verifiable…”
  • “/hai-goal”

Workflow steps

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

  1. Freeze the intent. What does the user want to start? What outcome would make the work worth
  2. Make the goal verifiable. Rewrite vague activity into a target outcome. Define the boundary
  3. Convert the goal into a goal document. Record assumptions and unresolved decisions, identify
  4. If rewriting an existing plan, re-anchor it to the target. Extract the plan's phases, todos,
  5. Split into phases. Each phase should produce a reviewable state. Split by learning, risk
  6. Define phase rules. For each phase, state what is allowed, what is explicitly not allowed yet,
  7. Create todos with action + surface + proof (see template). Make them concrete enough to
  8. Add progress management when execution will continue across phases or sessions. Use one
  9. Dry-run the route. Walk the phases in order without executing them; look for missing
  10. Decide whether to Go. If the route is coherent, execution can start. If it carries unresolved

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

Hai Goal loads about 2k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 123 tokens; SKILL.md has 1,109 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~123
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.1k

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 1,109 words (~2,041 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
hai-goal

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in skills/hai-goal of hylarucoder/hai-stack.

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

Open the folder on GitHubat commit a6c7ed2

Compare with similar skills

Hai Goal 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.

Hai Goal compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hai Goal this skillhylarucoder/hai-stack382—~2kAutomated safety check: PassCustom licence
E2E CoverageLanternOps/breeze131—~1.6kAutomated safety check: PassAGPL-3.0
Releasecodewhale-hq/Codewhale41k—~189Automated safety check: PassMIT
Qe Courtproffesor-for-testing/agentic-qe494—~3.2kAutomated safety check: PassMIT
Test Planningpetrkindlmann/qa-skills165—~4.2kAutomated safety check: PassMIT
Assign To Workforceagentculture/culture113—~2.7kAutomated safety check: WarnApache-2.0

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Questions about Hai Goal

What does Hai Goal do?

Creates or rewrites a goal document for ambiguous, multi-phase, high-risk, or explicitly planned execution: verifiable outcome, boundary, current state, phases, proof-bearing todos, dry-run, and…. Hai Goal is an agent skill from hylarucoder/hai-stack. Creates or rewrites a goal document for ambiguous, multi-phase, high-risk, or explicitly planned execution: verifiable outcome, boundary, current state, phases, proof-bearing todos, dry-run, and Go/No-Go.

When should I use Hai Goal?

Hai Goal fits situations like: the user asks for a goal; re-anchor an existing plan(定目标、拆阶段、执行计划).

How do I install Hai Goal in Claude Code?

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

How do I install Hai Goal in Codex?

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

Can I use Hai Goal 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 hai-goal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hai-goal, .gemini/skills/hai-goal, .github/skills/hai-goal and .opencode/skills/hai-goal in your project.

What does Hai Goal need to run?

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

Does Hai Goal 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 Hai Goal 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 Hai Goal use?

Hai Goal 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 Hai Goal use?

About 2k tokens (SKILL.md is roughly 8.2k 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 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Hai Goal?

Skills that share tags, products or a category with Hai Goal: E2E Coverage (LanternOps/breeze, 131 stars), Release (codewhale-hq/Codewhale, 41k stars), Qe Court (proffesor-for-testing/agentic-qe, 494 stars) and Test Planning (petrkindlmann/qa-skills, 165 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hai Goal?

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.