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opencli-autofix

An AI agent skill from jackwener/OpenCLI, scored 68 out of 100 by code.

68/ 100C

Code score by group

  • Spec20/20
  • Description7/20
  • Procedure12/15
  • Done criteria4/15
  • Resources10/10
  • Scripts5/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Description (13), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

Automatically fix broken OpenCLI adapters when commands fail. Load this skill when an opencli command fails — it guides you through collecting a trace artifact, patching the adapter, retrying, and filing an upstream GitHub issue after a verified fix. Works with any AI agent.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
jackwener/OpenCLI
Folder
skills/opencli-autofix
License
Apache-2.0
GitHub stars
31,034
SKILL.md lines
298
Other files
0

Add opencli-autofix to your agent

npx skills add jackwener/OpenCLI --skill opencli-autofix

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

More skills from jackwener/OpenCLI

  1. opencli-browser

    Drive Chrome with OpenCLI to inspect pages, interact with logged-in sites, capture API evidence, and manage native tabs, groups and windows. For reusable adapters, see opencli-ada…

    57C
  2. opencli-adapter-author

    Build or improve an OpenCLI JS adapter using observed site behavior, existing adapters and browser API evidence. For ad-hoc browser interaction, see opencli-browser.

    56C
  3. smart-search

    基于 opencli 命令的智能搜索路由器。当用户想要使用 OpenCLI、CLI 或 API 搜索、查询、查找或研究信息时，尤其是涉及指定网站、社交媒体、技术资料、新闻、购物、旅游、求职、金融或中文内容时，务必使用此 skill

    54D
  4. opencli-usage

    Discover and invoke OpenCLI capabilities for websites and Chrome. Find commands, inspect schemas, interpret results and choose browser or adapter tools.

    52D

All skills in jackwener/OpenCLI

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.