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Agentfit

  • Updated May 21, 2026
  • HarshwardhanPatil07/agent-fit

agentfit is a Claude Code skill in the AI & Agent Building category. Evaluates codebase agent-readiness across 9 pillars, 75+ criteria, and 5 maturity levels — produces an HTML report with pass rate scoring

Key points

  • agentfit
  • AI & Agent Building
  • AI-coding skill

Agentfit by the numbers

  • Data as of Jul 7, 2026 (Skillselion catalog sync)
/plugin marketplace add HarshwardhanPatil07/agent-fit
/plugin install agentfit@agent-fit

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Listed on Skillselion
Last updatedMay 21, 2026
RepositoryHarshwardhanPatil07/agent-fit

What it does

Evaluates codebase agent-readiness across 9 pillars, 75+ criteria, and 5 maturity levels — produces an HTML report with pass rate scoring

README.md

Agent-Fit: Agent-Readiness Assessment Skill

A Claude Code skill that evaluates your codebase's agent-readiness across 9 technical pillars, 86+ binary criteria, and 5 maturity levels. Produces an HTML report with pass rate scoring and a prioritized remediation roadmap.

Install

Add to your Claude Code settings (.claude/settings.json or global):

{
  "extraKnownMarketplaces": {
    "agent-fit": {
      "source": {
        "source": "git",
        "url": "git@github.com:HarshwardhanPatil07/agent-fit.git"
      }
    }
  },
  "enabledPlugins": {
    "agentfit@agent-fit": true
  }
}

Run

Inside Claude Code, in any project directory:

/agentfit

What You Get

An HTML report and matching JSON sidecar scoring your project 0-100% across 9 pillars:

Pillar Criteria What It Measures
Style & Validation 13 Formatting, linting, type checking, complexity
Build System 19 CI/CD, dependencies, releases, automation
Testing 8 Coverage, isolation, flaky detection, performance
Documentation 10 README, AGENTS.md, API docs, architecture, changelog
Dev Environment 5 Devcontainer, env templates, local services
Debugging & Observability 11 Logging, tracing, metrics, alerting, profiling
Security & Governance 13 Branch protection, secrets, scanning, CODEOWNERS, SBOM
Task Discovery 4 Issue templates, labeling, backlog health
Product & Analytics 3 Analytics, error pipelines, A/B testing

Output Files

  • HTML: /tmp/agentfit-report-{project_name}.html
  • JSON: /tmp/agentfit-report-{project_name}.json

The JSON sidecar includes report metadata, pillar and criterion details, level progress, gate status, and delta fields for trend automation.

Report UX Features

  • Collapsible pillar sections
  • Status filters: Show All, Found, Missing, Skipped
  • Criterion name search
  • Level filter (L1-L5)
  • Metadata footer (timestamp, version, criteria totals, git SHA, duration)
  • Delta highlighting for criteria that changed since the previous JSON baseline

Maturity Levels

Level Name What It Means
L1 Functional Code runs but requires manual setup
L2 Documented Basic docs and processes exist
L3 Standardized Processes enforced through automation
L4 Optimized Fast feedback loops, data-driven improvement
L5 Autonomous Self-improving systems

To unlock a level, pass 80% of that level's criteria AND all previous levels.

Console output also includes per-level gate status (, , — blocked) so CI logs show why a level is locked.

Supported Languages

Go, Python, TypeScript/JavaScript, Rust, C++, Swift

Optional: GitHub API Criteria

Some criteria (branch protection, issue labels, secret scanning) use the gh CLI. If gh is not installed or authenticated, those criteria are gracefully skipped.

Trend Comparison

When /tmp/agentfit-report-{project_name}.json exists from a previous run, Agent-Fit computes pass-rate delta and highlights criterion status changes. If no baseline is available (or baseline is malformed), the run still succeeds and reports current-state results.

Requirements

  • Claude Code (that's it — no dependencies, no API keys, no installs)

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