Agent outcome loop

Let rankings learn from real agent runs.

Every resolved skill should report what happened after one narrow task: success, failure, setup friction, or risk block. Those aggregate signals feed Trust Score, rankings, skill pages, and install recommendations.
64
Outcomes
66%
Success
54
Installs
1
Risk blocks
0
Production
37/100
Avg proven

Resolve

The agent gets one recommended skill.

Resolve returns the selected skill, alternatives, install plan, Trust Score, safety policy, and a unique feedback event id.

Run

The agent tries one narrow task.

Use a sandbox workflow first. Record whether install was used, whether setup was required, and whether risk blocked execution.

Learn

The registry updates trust signals.

Aggregate outcomes improve rankings without exposing raw agent notes or per-user identifiers publicly.

Outcome leaderboard

Skills with the strongest adoption evidence

53 skills currently have reported agent outcomes.

01

Frontend Design

Early agent signal

Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.

Early agent signal: 2 outcomes, 100% success, 2 install attempts, 0 risk blocks, 0 setup-required reports, Agent Proven Score 51/100.

100%
Success
51/100
Proven
2
Outcomes
0%
Recent fail
Quality
89/100
Trust
02

女娲.Skill

Early agent signal

你想蒸馏的下一个员工,何必是同事。蒸馏任何人的思维方式。

Early agent signal: 2 outcomes, 100% success, 2 install attempts, 0 risk blocks, 0 setup-required reports, Agent Proven Score 50/100.

100%
Success
50/100
Proven
2
Outcomes
0%
Recent fail
Quality
89/100
Trust
03

Animation Vocabulary

Early agent signal

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

Early agent signal: 1 outcome, 100% success, 1 install attempt, 0 risk blocks, 0 setup-required reports, Agent Proven Score 51/100.

100%
Success
51/100
Proven
1
Outcomes
0%
Recent fail
5.0/5
Quality
89/100
Trust
04

Obsidian Second Brain

Early agent signal

Cross-CLI skill for Obsidian: turn your vault into a living AI-first second brain across Claude Code, Codex, Gemini, and OpenCode. 43 commands - now with /obsidian-architect to document your codebase, key-less web research, Google Calendar, and self-rewriting notes.

Early agent signal: 2 outcomes, 100% success, 1 install attempt, 0 risk blocks, 0 setup-required reports, Agent Proven Score 48/100.

100%
Success
48/100
Proven
2
Outcomes
0%
Recent fail
Quality
85/100
Trust
05

Scrapegraph AI

Early agent signal

Python scraper based on AI

Early agent signal: 1 outcome, 100% success, 1 install attempt, 0 risk blocks, 0 setup-required reports, Agent Proven Score 47/100.

100%
Success
47/100
Proven
1
Outcomes
0%
Recent fail
4.0/5
Quality
87/100
Trust
06

Python

Early agent signal

All Algorithms implemented in Python

Early agent signal: 1 outcome, 100% success, 1 install attempt, 0 risk blocks, 0 setup-required reports, Agent Proven Score 42/100.

100%
Success
42/100
Proven
1
Outcomes
0%
Recent fail
Quality
87/100
Trust
07

Markitdown

Early agent signal

Python tool for converting files and office documents to Markdown.

Early agent signal: 1 outcome, 100% success, 1 install attempt, 0 risk blocks, 0 setup-required reports, Agent Proven Score 42/100.

100%
Success
42/100
Proven
1
Outcomes
0%
Recent fail
Quality
86/100
Trust
08

MediaCrawler

Early agent signal

小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B站视频 | 评论爬虫、微博帖子 | 评论爬虫、百度贴吧帖子 | 知乎问答文章 | 评论爬虫。支持多平台社交媒体内容抓取,提供完整的数据采集解决方案。

Early agent signal: 1 outcome, 100% success, 1 install attempt, 0 risk blocks, 0 setup-required reports, Agent Proven Score 42/100.

100%
Success
42/100
Proven
1
Outcomes
0%
Recent fail
Quality
83/100
Trust
09

Testcafe

Early agent signal

A Node.js tool to automate end-to-end web testing.

Early agent signal: 1 outcome, 100% success, 1 install attempt, 0 risk blocks, 0 setup-required reports, Agent Proven Score 47/100.

100%
Success
47/100
Proven
1
Outcomes
0%
Recent fail
4.0/5
Quality
84/100
Trust
10

Kubernetes Learning Path

Early agent signal

A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)

Early agent signal: 1 outcome, 100% success, 1 install attempt, 0 risk blocks, 0 setup-required reports, Agent Proven Score 47/100.

100%
Success
47/100
Proven
1
Outcomes
0%
Recent fail
4.0/5
Quality
83/100
Trust
11

Data Science For Beginners

Early agent signal

10 Weeks, 20 Lessons, Data Science for All!

Early agent signal: 1 outcome, 100% success, 1 install attempt, 0 risk blocks, 0 setup-required reports, Agent Proven Score 42/100.

100%
Success
42/100
Proven
1
Outcomes
0%
Recent fail
Quality
87/100
Trust
12

UI-TARS Desktop

Early agent signal

Run multimodal agents that operate desktop interfaces

Early agent signal: 1 outcome, 100% success, 1 install attempt, 0 risk blocks, 0 setup-required reports, Agent Proven Score 42/100.

100%
Success
42/100
Proven
1
Outcomes
0%
Recent fail
Quality
83/100
Trust

POST /api/agent/outcome

Report after one narrow run.

Resolve responses include a unique feedback.event_id. Agents should reuse it when reporting the result so retries stay idempotent.

{
  "event_id": "resolve_...",
  "skill_slug": "crawl4ai",
  "task": "scrape pricing pages",
  "agent": "codex",
  "outcome": "success",
  "install_used": true,
  "time_to_useful_ms": 120000
}

Outcome meanings

Use the smallest honest label.

successThe skill helped complete the task.
failedThe skill was attempted but did not work.
not_relevantThe selected skill did not fit the task.
blocked_by_riskAudit, license, token, shell, or network risk stopped execution.
setup_requiredThe skill looked relevant but needed missing keys, data, or configuration.