Assayevidence-based project evaluation

assay, n. — the testing of a metal to determine its purity.

How good is your code, really?

Paste a public GitHub repository. Assay reads the evidence — files, features, the snapshot itself — and hands down a scored verdict. Every claim cited. No hand-waving.

Preview deployment: submissions resolve against fixture evaluations from the versioned report contract, not a live analysis engine. The report you see is the real output format.

The verdict you get

Not a star rating. A scored, versioned document with confidence bands, graded evidence, and a hard release gate — a score that cannot be backed by evidence is withheld, never faked as a zero.

specimen · hermes-agent/hermesopenai api engine · rubric project-rubric-1 · revision 01234567

Hermes Agent is a multi-gateway automation agent with a skill and tool system.

Assay Score0/ 100Scored · confidence 82% (high)
  • Project Substance90confidence 85% (high)
  • Originality72confidence 60% (medium)
  • Engineering Rigor86confidence 78% (high)
  • Open Source Readiness84confidence 74% (high)
  • Maintenance Health83confidence 70% (high)
  • Potential80confidence 62% (medium)

7 evidence records back this report — files, repository features, and the snapshot itself, each graded and revision-pinned.

Rendered from the versioned report contract, exactly as the evaluation route serves it. Open the full report

Every score is traceable

Deterministic collectors gather graded evidence from the repository; an AI evaluator judges it against a versioned rubric; a compiler turns the judgments into scores. Walk any number in the report back to the commit-pinned record it stands on. If it can’t be cited, it isn’t scored.

On the right: one real chain from the specimen above — a dimension score, the evidence id it cites, and the graded record behind that id.

Assay evaluates the project, not its authors or their use of AI-assisted development tools. Scores are dimensioned, versioned, and grounded in cited evidence.

  1. Judgment
    Engineering Rigor · 86/100 · project-score-1
  2. Cites
    evidence:repository:snapshot
  3. Evidence record
    repository · grade A · collected 2026-07-14 · revision 0123456789ab

See where you’d land

Anonymous evaluations publish automatically. Featured projects are editorially selected and labeled; featuring never buys a point.

Filter the catalog

A score-range filter lists only released scores; unavailable and insufficient results are not treated as a zero.

Recently Assayed

  1. hermes-agent/hermes

    Hermes Agent is a multi-gateway automation agent with a skill and tool system.

    cli_developer_toolagentautomationdeveloper_tool
    88/100
    confidence 82% (high) · OpenAI API
  2. openclaw/openclaw

    OpenClaw is an autonomous agent runtime with a command-line entry point.

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    66/100
    confidence 42% (medium) · Deterministic · provisional
  3. example-org/sample-project

    The project ships a command-line interface with JSON output.

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    74/100
    confidence 72% (high) · OpenAI API
  4. acme/recently-analyzed

    The project ships a command-line interface with JSON output.

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    74/100
    confidence 72% (high) · OpenAI API
  5. example-org/early-prototype

    Introduction not available.

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    Insufficient evidence
    Deterministic

Leaderboard

Ranked by released Assay Score, with evaluation version, engine, confidence, and provisional state in plain sight. Unreleased scores do not rank — nobody gets a free zero.

  1. hermes-agent/hermes

    Hermes Agent is a multi-gateway automation agent with a skill and tool system.

    cli_developer_toolagentautomationdeveloper_tool
    88/100
    confidence 82% (high) · OpenAI API
    evaluation project-intelligence-1
  2. acme/recently-analyzed

    The project ships a command-line interface with JSON output.

    cli_developer_tooldeveloper_tool
    74/100
    confidence 72% (high) · OpenAI API
    evaluation project-intelligence-1
  3. example-org/sample-project

    The project ships a command-line interface with JSON output.

    cli_developer_tooldeveloper_tool
    74/100
    confidence 72% (high) · OpenAI API
    evaluation project-intelligence-1
  4. openclaw/openclaw

    OpenClaw is an autonomous agent runtime with a command-line entry point.

    applicationagentgame
    66/100
    confidence 42% (medium) · Deterministic · provisional
    evaluation project-intelligence-1