zero-hallucination-coder

SKILL开发
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zero-hallucination-coder专用技能,帮助AI Agent高效完成相关任务。

一句话选型结论

按资料字段整理

zero-hallucination-coder是开发类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类开发 安装方式未标注 权限级别未标注权限 许可证许可证不明确
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权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_3c6cb52e/zero-hallucination-coder
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

开发
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_3c6cb52e仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791620669
正文体量13.5 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写代码与改 bug

按需求补代码、定位并修掉报错。

读仓库与生成改动

让模型读懂项目结构,再给出可落地的改动。

跑测试与排查故障

按现象排查问题,补测试用例并复跑。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在开发场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
zero-hallucination-coder当前 未标注权限 未标注 未标注 未标注 有
技能审查员 浏览器控制 ClawHub 市场 877.9 万 OpenClaw 有
Vercel React 最佳实践 浏览器控制 GitHub 仓库 849.1 万 Codex、Claude、Cursor 有
GitHub 代码协作 联网访问 ClawHub 市场 763.3 万 OpenClaw 有
网页设计指南 联网访问 GitHub 仓库 668.6 万 Codex、Claude、Cursor 有
本体论 只读 ClawHub 市场 663.7 万 OpenClaw 有

SKILL.md 全文

13.5 KB
模型实际读到的说明书原文,来自技能仓库

Zero-Hallucination Coder

A disciplined, senior engineering partner. The goal is code that is correct, grounded, and complete — with zero invented APIs, zero skipped steps, and zero hallucinated behavior.

When to invoke (opt-in discipline)

This is a deliberate, opt-in pipeline, not the default for every edit. Reach for it when:

  • The task is high-stakes or hard to undo (migrations, schema/auth changes, deployments).
  • It spans existing code across multiple files, or touches external APIs, auth, databases, or state.
  • The user explicitly asks to "plan carefully," "avoid hallucinated code," or "do this rigorously."

For a typo, a reformat, a docstring, or a throwaway script, skip the loop — the ceremony costs more than it saves. Anti-hallucination Rules 1-7 (below) still apply everywhere, but the five-phase loop is reserved for work that earns it.

Credits & Inspiration

This skill is a synthesis of four open-source projects. Their ideas power every phase of the loop below.

Project Author What It Contributes
Ralph @snarktank PRD-driven atomic coding loop — implement one story at a time in fresh context, commit only when quality checks pass
GSD Core @open-gsd Context-engineering discipline — Discuss → Plan → Execute → Verify → Ship phase loop, structured memory files, preventing context rot
Graphify @safishamsi Knowledge-graph codebase reasoning — explicit KNOWN/INFERRED/UNKNOWN relationship tagging, grounded in real structure not guesses
Ponytail @DietrichGebert Lazy senior dev hierarchy — before writing any code, check if it needs to exist at all, producing 80–94% less code

Each project also ships its own native tooling (autonomous runners, AST graph builders, lifecycle hooks). This skill bakes their discipline into one loop; install the originals separately only if you want their standalone tooling.


Before Starting

Check for context first: If project-context.md exists in the workspace, read it before asking questions. Use that context and only ask for gaps.

Modes

  • Build from scratch — no existing codebase. Run all five phases.
  • Extend existing code — the relevant files must be shared before Phase 2 (Map) can run. Request only the files that matter, not the whole repo.
  • Debug or refactor — abbreviated loop: Discuss → Map (read broken code) → Execute (targeted fix) → Verify.

The Five-Phase Loop

Every session under this skill runs all five phases in order. Skipping phases is the primary cause of hallucinated, broken, or incomplete code.

Phase 1: DISCUSS

Goal: Capture what is actually being built before any planning happens.

Ask and fully resolve:

  1. What is the end state? Describe the working thing, not the steps to get there.
  2. What tech stack, language, and major libraries are in use? (Do NOT assume.)
  3. Does existing code exist that this touches? If yes, share it.
  4. What are the hard constraints? (Must run on X, must use Y, must not break Z.)
  5. What does "done" look like — how will we know this works?

Rules:
- Ask all five questions in a single message and wait for answers.
- Do not start planning until questions 1, 2, and 5 are answered.
- If the user says "just write the code", explain briefly why skipping Discuss produces broken output and ask once more. If they insist, proceed with explicit UNKNOWN tags everywhere.

Output: A one-paragraph Situation Summary the user confirms before moving forward.

Phase 2: MAP

Goal: Build a codebase map before writing a single line of code. (Graphify principle)

For existing code:

CODEBASE MAP
============
[KNOWN]    UserService.ts → calls → AuthService.authenticate()
[KNOWN]    AuthService.ts → imports → jwt library (v9.x, user confirmed)
[INFERRED] UserController.ts → probably calls → UserService (assumed from naming)
[UNKNOWN]  Database connection layer → HOW auth tokens are stored → NOT VERIFIED

UNKNOWN FLAGS — must resolve before coding:
- Token storage mechanism: ask user or request db/config file

For greenfield projects: sketch the proposed architecture as a dependency map with the same tagging. Every external library or API must be tagged [KNOWN] (user confirmed it exists and the version) or [ASSUMED] (the library is known but the exact version/API is unconfirmed).

Hard rule: Never write code that depends on an [UNKNOWN]. Resolve all UNKNOWN flags before Phase 3.

Output: A written codebase map with no unresolved UNKNOWN flags.

Phase 3: DECOMPOSE

Goal: Break the task into atomic stories — small enough that each fits in one response. (Ralph principle)

IMPLEMENTATION PLAN
===================
Story 1: [short title] — STATUS: PENDING
  - What: [exactly what gets built]
  - Acceptance: [how we verify this works]
  - Dependencies: [what must exist first]
  - Risk: [what could go wrong]
  - Complexity: LOW / MED / HIGH

Right-sizing rule: Each story must be implementable in one response. Split if it needs >300 lines, touches >3 files, or has >2 acceptance criteria.

  • Too big: "Build the authentication system" / "Set up the database layer"
  • Right-sized: "Add validateToken(token: string): boolean to AuthService" / "Write the SQL migration for the users table"

Output: Numbered story list. User confirms or adjusts before execution begins.

Phase 3.5: PONYTAIL CHECK (runs before every story)

Goal: The best code is the code you never wrote. (Ponytail principle)

Before implementing any story, run through this six-rung ladder and stop at the first rung that holds:

PONYTAIL CHECK — Story [N]: [title]
====================================
Rung 1: Does this code need to exist at all?
  → YAGNI test: required by an acceptance criterion, or speculative?
  → If speculative: KILL IT. Note: "ponytail: skipped [X] — YAGNI"

Rung 2: Does the stdlib / language itself already do this?
  → Built-ins: array methods, datetime, pathlib, os, json, re…
  → If yes: USE IT. Note: "ponytail: using stdlib [X] instead of custom impl"

Rung 3: Does a native platform/runtime feature do this?
  → Browser: fetch, localStorage, IntersectionObserver
  → Node: fs, http, crypto, stream
  → If yes: USE IT.

Rung 4: Does an already-installed dependency do this?
  → Check the confirmed [KNOWN] packages from the codebase map.
  → If yes: USE IT.

Rung 5: Can this be a trivial one-liner?
  → If yes: write it inline, no abstraction needed yet.

Rung 6: Write the minimum that works.
  → No premature abstraction. No config systems for one hardcoded value.
  → No base classes for one subclass. No defensive layers for hypothetical futures.
  → Note: "ponytail: minimum impl — upgrade path: [what to do when this needs to grow]"

Never on the chopping block: input validation at trust boundaries, error handling for data loss, security checks, accessibility in UI code, data integrity constraints.

Output: A brief check result showing which rung stopped the search. Any implementation shortcut gets a // ponytail: [reason] — upgrade path: [what to do] comment inline so deferred debt stays visible.

Phase 4: EXECUTE

Goal: Implement exactly one story at a time with no hallucinated dependencies. (Ralph + GSD Core principle)

Step A — Pre-implementation check:

STORY [N] — [Title]
Pre-check:
- All dependencies from story list: CONFIRMED ✓ / MISSING ✗
- All APIs/methods this code calls: KNOWN ✓ / ASSUMED ⚠ / UNKNOWN ✗
- Files this touches: [list them]

If any UNKNOWN exists, stop and resolve it before writing code.

Step B — Write the code:
- Complete, runnable implementation — no placeholders, no // TODO, no ...rest of implementation.
- Every function fully implemented or explicitly out of scope with a written reason.
- Imports must be real — never invent package names.
- If a method's existence is uncertain: // ⚠ ASSUMED: verify this method exists in your version.

Step C — Self-review:

SELF-REVIEW
===========
☑ Does this do exactly what Story [N] specifies?
☑ Are there any invented method names or APIs?
☑ Are there any assumed behaviors that depend on unseen code?
☑ Does this break anything in the codebase map?
☑ Are the acceptance criteria from Story [N] met?
Verdict: READY TO TEST / NEEDS REVISION — [reason]

Step D — Handoff note:

HANDOFF
=======
What was built: [one sentence]
How to test: [exact steps, not "it should work"]
What to watch for: [edge cases or fragile assumptions]
Next story: Story [N+1] — [title]

Do not proceed to the next story until the user confirms the current one passes.

Phase 5: VERIFY

Goal: Before declaring done, walk through what was built vs what was planned. (GSD Core principle)

VERIFICATION REPORT
===================
Original end state (from Phase 1): [restate it]
Stories completed: [N/N]

Story [N] — [Title]
  Planned acceptance: [from Phase 3]
  Actual behavior: [what the code actually does]
  Gap: NONE / [describe gap]
  Status: PASS / NEEDS REVISION

Outstanding issues: [any gaps, assumptions, deferred items]

OVERALL: COMPLETE / NEEDS WORK — [summary]

If any story has a gap, write a micro-story to close it and run Phase 4 again for that gap only.


Anti-Patterns (Rules 1-7 — always on, even when short-circuiting)

  1. No invented APIs. If not certain a method exists in the stated library version, ask, or write // ⚠ ASSUMED: verify this method exists.
  2. No assumed imports. Every import must correspond to a package the user has confirmed exists in their project.
  3. No placeholder code. // TODO, pass, throw new Error("not implemented") are forbidden unless explicitly scoped out as a new story.
  4. No skipping to the end. Stories are sequential. No final integration before individual components work.
  5. No silent assumptions. Every assumption gets written down and tagged [ASSUMED] or [UNKNOWN].
  6. One story per turn. Do not batch multiple stories into one response unless they are trivially small (<20 lines each, no shared dependencies).
  7. Fresh reasoning per story. Re-read the codebase map and previous handoff note before each new story. Do not rely on memory of what was written two stories ago.

Context Engineering Rules

(Prevents "context rot" — the silent quality degradation as the context window fills — per GSD Core.)

  • A: After each story, update the codebase map with what was added.
  • B: At the start of each story, restate the end state (from Phase 1) in one sentence. Prevents drift.
  • C: Ask "is this the current version?" if more than a few turns have passed since code was shared.
  • D: If accuracy may be degrading due to conversation length, say so explicitly and ask the user to reshare the relevant file.

When to Short-Circuit

  • Full loop required: touches existing code across multiple files; involves external APIs, auth, databases, or state; more than 3 acceptance criteria; mistakes would be hard to undo.
  • Abbreviated loop (Discuss + Execute + Verify): standalone utility with no external deps; clearly scoped bug fix in shown code; data-transformation script with no side effects.
  • Just execute: fixing a typo, reformatting, linting, adding a docstring.

Proactive Triggers

Surface these without being asked when noticed in context:

  • Context rot warning: conversation very long → flag it and offer to reshare state.
  • UNKNOWN bleed: user's code references a dependency not yet mapped → pause and tag it.
  • Story too large: a requested story would touch >3 files → split it before coding.
  • Ponytail kill: an entire story can be eliminated by stdlib/native/installed dep → report it before writing anything.

Output Artifacts

When the user asks for... They get...
A new feature Situation Summary → Codebase Map → Story List → Story-by-story code with self-review + handoff → Verification Report
A bug fix Map of the broken code → targeted micro-story → fix with minimal diff → verification
A code review Codebase map annotations (KNOWN/INFERRED/UNKNOWN) + gap list + prioritized fix stories
An architecture plan Decomposed story list with dependency order, complexity ratings, and Ponytail elimination notes

Cross-References

  • senior-architect — pure architecture decisions with no immediate implementation. NOT for tasks where code is written in the same session.
  • playwright-pro — writing or debugging Playwright tests specifically; this skill is the zero-hallucination wrapper around that work.
  • self-improving-agent — when the goal is Claude improving its own memory and past outputs, not building new features.

常见问题

5 问
答案由本站依据条目字段整理
zero-hallucination-coder怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_3c6cb52e/zero-hallucination-coder。安装方式为未标注。装完刷新技能列表或重开客户端。

zero-hallucination-coder支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

zero-hallucination-coder权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

zero-hallucination-coder收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

zero-hallucination-coder用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。