lov-fix-until-no-error

lov-fix-until-no-error is a skill for Claude Code from lovstudio/skills. It costs 48 tokens per session (783 once invoked), scanned A, original, MIT.

A verification-focused debugging workflow that repeatedly runs specified checks, fixes the highest-priority failure, and stops when the checks pass or a genuine external blockage remains.

In plain words
What is it for?
Use it when a project has a named test, build, lint, or other validation command that must succeed. It helps investigate repeated failures involving code, configuration, versions, services, or missing data.
Why use it?
It prevents endless repair attempts and avoids fake success caused by skipping verification, disabling rules, deleting tests, or hiding errors. It records the exact checks that passed and the limits of that result.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the dev-tools plugin — 77 skills shipped together

Good fit Use it when a project has a named test, build, lint, or other validation command that must succeed. It helps investigate repeated failures involving code, configuration, versions, services, or missing data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lovstudio/skills/fix-until-no-error
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 lovstudio/skills --skill fix-until-no-error
Clone the repo
git clone --depth 1 https://github.com/lovstudio/skills

Made for: Claude Code.

Or install dev-tools, the plugin that ships this one along with the rest of its 77 skills.

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 lov-fix-until-no-error

README.md
[![agentmods](https://agentmods.dev/badge/skills/lovstudio/skills/fix-until-no-error.svg)](https://agentmods.dev/skills/lovstudio/skills/fix-until-no-error)
Your own site
<a href="https://agentmods.dev/skills/lovstudio/skills/fix-until-no-error"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/fix-until-no-error.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 783 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.
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 $0.00048 $0.00783
Opus 5 $0.00024 $0.00392
Sonnet 5 $0.00010 $0.00157
Haiku 4.5 $0.00005 $0.00078

Measured yesterday against content hash 73e3cec94235, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

lov-fix-until-no-error 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 yesterday.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/profile_store.py, scripts/validate_skill.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/fix-until-no-error/SKILL.md · 67 lines

What it actually says

验证修复 · Verified Fixes

围绕明确验证命令持续定位和修复失败项直到通过或遇到真实阻塞。

Triggers

Activate when

  • “围绕明确验证命令持续定位和修复失败项直到通过或遇到真实阻塞。”
  • “Fix errors until the specified checks pass.”

Do not activate when

  • 只是查询本 Skill 的说明,或请求与上述结果无关的任务;不执行实际业务操作。
  • 用户仅要预览或审查时,不进入修改、提交或发布分支。

Execution boundary

自然语言请求即可触发;无需旧 slash 路径、参数插值或指定助手。明确解析当前请求中的 项目、目标文件、选项与输出位置;用当前宿主实际提供的文件、搜索、CLI 和浏览器能力。 项目依赖版本与外部 API 在执行时核实,不能假设示例是现行配置。随包脚本从 Skill 根解析, 业务文件从目标项目根解析。先读当前状态,保护已有未提交内容与其他任务的暂存区。 分析、预览请求保持只读;修改、提交、推送、部署和发布各依当前请求的明确范围执行。 不绕过保护、自动发送消息、强制结束用户进程或抢前台。失败保留可诊断原始错误。

Workflow

  1. 从用户命令或项目 scripts 确定成功标准,先执行并保存首个有效错误;不自行扩大为永远无缺陷的承诺。

  2. 按根因修复最高阻塞问题,重跑受影响命令,记录变化与结果。禁止 --no-verify、关闭 lint 规则、删除测试或吞掉异常来制造通过。

  3. 出现相同失败而假设两次未命中时检查 cwd、环境、版本、服务实例及配置来源,避免原地循环。

  4. 原检查通过后只运行必要回归;外部权限、不可用服务或缺数据造成真实阻塞时如实停在可继续状态,不死循环。

  5. 交付通过的具体命令和未覆盖边界。

Composition

执行前读取 能力组合,按明确制品交接相邻能力。

Runtime context (shared)

运行前读取本包 skill.yamlProfile 合同。优先级为当前请求、 项目上下文、本 Skill records、共享 preferences、brand/user Profile、安全默认值。 只读取声明字段;没有专用运行时的宿主可使用 scripts/profile_store.py 读取共享 Profile。 配置缺失只问影响结果的一个问题。用户明确要求长期保存的值通过该脚本原子写入, 报告实际路径;不保存推断、凭据或其他任务的资料。

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. yesterday First seen · 67 lines · 48 tokens per session scan A 73e3cec94235

Subscribe to this mod's changes

lov-fix-until-no-error is a skill published in the GitHub repository lovstudio/skills (64 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 783 once invoked, about $0.0002 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 2026-09-07.

Related

Other skills, from other repositories

gcloud-usage

This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".

fcakyon/claude-codex-settings · 49 tokens

mongodb-query-optimizer

Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query…

fcakyon/claude-codex-settings · 98 tokens

Debugging Strategies

Advanced debugging patterns for test failures covering root cause analysis, flakiness investigation, performance debugging, and systematic troubleshooting methodologies.

PramodDutta/qaskills · 28 tokens

Concurrency Testing Patterns

Testing concurrent code including race condition detection, deadlock prevention, thread safety verification, and parallel execution correctness.

PramodDutta/qaskills · 25 tokens

hotfix

Fixes an observed defect with reproducible evidence in one call: writes a short trace doc before touching code, implements the fix, and backs it with a regression test written before the fix. Production incidents are the motivating case, not a gate. When blocked, it halts by name and saves the doc for a later call to…

pe-menezes/vibeflow · 102 tokens

macos-test-diagnoser

Before invoking Apple-only binaries, confirm the execution context is macOS. From Windows or Linux, run those steps in a Mac SSH project or through an already configured remote transport; do not retry missing Apple binaries locally.

Xopoko/build-swift-apps · 47 tokens