Agent skill

Reputation Patterns

Agent reputation scoring, performance tier system, trust calibration, and task affinity matching

MITAuto-check passedBusiness, Finance & HR

Install Reputation Patterns

skills CLI

$ npx skills add vibeeval/vibecosystem --skill reputation-patterns -a claude-code

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

GitHub CLI

$ gh skill install vibeeval/vibecosystem reputation-patterns --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/vibeeval/vibecosystem.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/reputation-patterns .claude/skills/reputation-patterns && 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/

Paste into Claude Code

Install the "reputation-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/reputation-patterns into .claude/skills/reputation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reputation-patterns", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/vibeeval/vibecosystem/tree/main/skills/reputation-patterns

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add vibeeval/vibecosystem --skill reputation-patterns -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install vibeeval/vibecosystem reputation-patterns --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/reputation-patterns .agents/skills/reputation-patterns && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "reputation-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/reputation-patterns into .agents/skills/reputation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reputation-patterns", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add vibeeval/vibecosystem --skill reputation-patterns -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install vibeeval/vibecosystem reputation-patterns --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/reputation-patterns .cursor/skills/reputation-patterns && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "reputation-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/reputation-patterns into .cursor/skills/reputation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reputation-patterns", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/vibeeval/vibecosystem.git --path skills/reputation-patterns

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add vibeeval/vibecosystem --skill reputation-patterns -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install vibeeval/vibecosystem reputation-patterns --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/reputation-patterns .gemini/skills/reputation-patterns && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "reputation-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/reputation-patterns into .gemini/skills/reputation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reputation-patterns", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install vibeeval/vibecosystem reputation-patterns

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add vibeeval/vibecosystem --skill reputation-patterns -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/reputation-patterns .github/skills/reputation-patterns && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "reputation-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/reputation-patterns into .github/skills/reputation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reputation-patterns", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add vibeeval/vibecosystem --skill reputation-patterns -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install vibeeval/vibecosystem reputation-patterns --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/reputation-patterns .opencode/skills/reputation-patterns && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "reputation-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/reputation-patterns into .opencode/skills/reputation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reputation-patterns", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: reputation-patterns
GitHub stars: 531
Token cost: ~840 tokens
SKILL.md length: 104 words
Files: 1
Skills in repo: 144
Repo updated: Aug 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Agent reputation scoring, performance tier system, trust calibration, and task affinity matching

Tasks that involve Performance reviews
SKILL.md covers Agent Reputation Score (ARS), Tier System, Decay & Recovery and Task-Type Affinity, plus 4 more sections
Calls jq and node

What it does

Reputation Patterns is an agent skill from vibeeval/vibecosystem. Agent reputation scoring, performance tier system, trust calibration, and task affinity matching

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Performance reviews. The repository describes itself as: AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution. The licence is MIT.

When your agent uses it

Tasks that involve Performance reviews

Example prompts

“/reputation-patterns”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 3b763b1. 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
Shell commands in SKILL.md call:
- jq
- node
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

Reputation Patterns loads about 840 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 104 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~29
When it runs · the whole SKILL.md, loaded when a task matches: ~840

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

The full file from vibeeval/vibecosystem at commit 3b763b1, republished under its MIT licence (© vibeeval). 104 words, ~840 tokens.

Download SKILL.mdSave it as .claude/skills/reputation-patterns/SKILL.md (or your agent's skills folder).

name: reputation-patterns
description: Agent reputation scoring, performance tier system, trust calibration, and task affinity matching

Reputation Patterns

Agent Reputation Score (ARS)

typescript

interface AgentReputation {
  agentId: string
  score: number           // 0-100
  tier: 'S' | 'A' | 'B' | 'C' | 'D'
  totalTasks: number
  successRate: number     // 0-1
  firstPassRate: number   // QA'den ilk seferde geçme oranı
  avgRetries: number
  specialties: string[]   // Başarılı olduğu task tipleri
  weaknesses: string[]    // Başarısız olduğu task tipleri
}

// Score hesaplama
function calculateARS(agent: AgentReputation): number {
  const weights = {
    successRate: 0.35,
    firstPassRate: 0.25,
    consistency: 0.20,    // son 10 task varyansı
    efficiency: 0.20      // ortalama retry sayısı
  }

  return (
    agent.successRate * weights.successRate * 100 +
    agent.firstPassRate * weights.firstPassRate * 100 +
    (1 - agent.avgRetries / 3) * weights.consistency * 100 +
    (agent.totalTasks > 5 ? 1 : 0.5) * weights.efficiency * 100
  )
}

Tier System

Tier	ARS Range	Yetki	Açıklama
S	90-100	Otonom	Her task'ı alabilir, QA skip
A	75-89	Güvenilir	Çoğu task, standart QA
B	60-74	Normal	Standart task, tam QA
C	40-59	İzlemede	Basit task, sıkı QA
D	0-39	Kısıtlı	Cross-training gerekli

Decay & Recovery

Decay:
- 7 gün inaktif → -2 puan
- 14 gün inaktif → -5 puan
- QA FAIL → -5 puan (severity'ye göre)
- Escalation → -10 puan

Recovery:
- QA PASS (first try) → +3 puan
- QA PASS (retry) → +1 puan
- Complex task başarı → +5 puan
- Cross-training başarı → +2 puan

Task-Type Affinity

markdown

## Agent Affinity Matrix

| Agent | Frontend | Backend | DB | Security | Score |
|-------|----------|---------|----|---------|----|
| spark | 85 | 70 | 50 | 40 | B |
| kraken | 60 | 90 | 80 | 65 | A |
| frontend-dev | 95 | 30 | 20 | 30 | S(FE) |
| backend-dev | 20 | 92 | 75 | 60 | S(BE) |

Task assignment: Highest affinity agent with available capacity

Reliability Prediction

python

def predict_success(agent_id: str, task_type: str) -> float:
    """Agent'ın belirli task tipinde başarı olasılığı"""
    agent = get_agent(agent_id)
    base_rate = agent.success_rate
    type_affinity = agent.affinity.get(task_type, 0.5)
    recent_trend = agent.last_5_tasks_success_rate

    return (base_rate * 0.4 + type_affinity * 0.35 + recent_trend * 0.25)

Canavar Integration

bash

# Skill matrix'ten data çek
cat ~/.claude/canavar/skill-matrix.json | jq '.agents[] | {name, score, tier}'

# Error ledger'dan failure pattern
cat ~/.claude/canavar/error-ledger.jsonl | jq 'select(.agent == "spark")'

# Leaderboard
node ~/.claude/hooks/dist/canavar-cli.mjs leaderboard

Checklist

Her agent'ın ARS score'u tracked
Tier assignment otomatik
Decay/recovery mekanizması aktif
Task-type affinity matrisi var
Reliability prediction kullanılıyor
Cross-training plan (D-tier agent'lar için)
Canavar error-ledger entegre

Anti-Patterns

Tüm agent'lara eşit güvenme (reputation'a bak)
Low-tier agent'a kritik task verme
Score'u sadece success/fail'e dayandırma (context önemli)
Recovery yolu olmayan punishment

Files

Just SKILL.md in skills/reputation-patterns of vibeeval/vibecosystem.

Open the folder on GitHubat commit 3b763b1

Compare with similar skills

Reputation Patterns 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.

Reputation Patterns compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Reputation Patterns this skillvibeeval/vibecosystem	531	—	~840	Automated safety check: Pass	MIT	2 mo ago
Wp Performance Reviewelvismdev/claude-wordpress-skills	234	1 repos	~4.5k	Automated safety check: Pass	MIT	10 mo ago
Align Humanagentscope-ai/OpenJudge	867	—	~3.1k	Automated safety check: Pass	Apache-2.0	26 days ago
Performance ReportAffitor/affiliate-skills	698	1 repos	~2.5k	Automated safety check: Pass	MIT	22 days ago
Run Mv Hoi Reconstructionnvidia-isaac/video_to_data	847	—	~1.5k	Automated safety check: Pass	Custom licence	yesterday
Company Analysiszhu1090093659/dsh-trading	230	—	~4.2k	Automated safety check: Pass	Custom licence	4 days ago

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Questions about Reputation Patterns

What does Reputation Patterns do?

Agent reputation scoring, performance tier system, trust calibration, and task affinity matching. Reputation Patterns is an agent skill from vibeeval/vibecosystem.

When should I use Reputation Patterns?

Reputation Patterns fits situations like: tasks that involve Performance reviews.

How do I install Reputation Patterns in Claude Code?

Run `npx skills add vibeeval/vibecosystem --skill reputation-patterns -a claude-code`. Or copy the skill folder (skills/reputation-patterns in vibeeval/vibecosystem) into .claude/skills/reputation-patterns in your project. Claude Code loads it when a task matches its description.

How do I install Reputation Patterns in Codex?

Run `npx skills add vibeeval/vibecosystem --skill reputation-patterns -a codex`. Or copy the skill folder (skills/reputation-patterns in vibeeval/vibecosystem) into .agents/skills/reputation-patterns in your project. Codex loads it when a task matches its description.

Can I use Reputation Patterns 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 vibeeval/vibecosystem --skill reputation-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reputation-patterns, .gemini/skills/reputation-patterns, .github/skills/reputation-patterns and .opencode/skills/reputation-patterns in your project.

What does Reputation Patterns need to run?

Going by SKILL.md and its folder, Reputation Patterns needs the command-line tools its instructions call (jq and node). Our summary lists: Python 3.

Does Reputation Patterns 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 Reputation Patterns 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 Reputation Patterns use?

Reputation Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reputation Patterns use?

About 840 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Reputation Patterns?

Skills that share tags, products or a category with Reputation Patterns: Wp Performance Review (elvismdev/claude-wordpress-skills, 234 stars), Align Human (agentscope-ai/OpenJudge, 867 stars), Performance Report (Affitor/affiliate-skills, 698 stars) and Run Mv Hoi Reconstruction (nvidia-isaac/video_to_data, 847 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reputation Patterns?

vibeeval (a GitHub user) maintains it in vibeeval/vibecosystem, which has 531 GitHub stars. The repository holds 144 skills in this directory. The repository was last updated on August 8, 2026.

Source: vibeeval/vibecosystem on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Reputation Patterns

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Reputation Patterns

Agent Reputation Score (ARS)

Tier System

Decay & Recovery

Task-Type Affinity

Reliability Prediction

Canavar Integration

Checklist

Anti-Patterns

Files

Compare with similar skills

Similar skills

More from vibeeval/vibecosystem

Related

Questions about Reputation Patterns