grader

grader is an agent for Claude Code from avibebuilder/claude-prime. It costs 0 tokens per session (2,455 once invoked), scanned A, original, MIT.

An agent that evaluates whether stated expectations were met by reviewing an execution transcript and the files produced. An execution transcript is a record of what an automated task did and reported.

In plain words
What is it for?
Use it to grade task outputs, inspect relevant files, identify documented problems, and critique the quality and coverage of evaluation criteria.
Why use it?
It provides evidence for each pass or failure and can reveal when a test or expectation is too weak to prove the intended result.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

Good fit Use it to grade task outputs, inspect relevant files, identify documented problems, and critique the quality and coverage of evaluation criteria.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/avibebuilder/claude-prime/grader
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/avibebuilder/claude-prime

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for grader

README.md
[![agentmods](https://agentmods.dev/badge/agents/avibebuilder/claude-prime/grader/github.svg)](https://agentmods.dev/agents/avibebuilder/claude-prime/grader)
Your own site
<a href="https://agentmods.dev/agents/avibebuilder/claude-prime/grader"><img src="https://agentmods.dev/badge/agents/avibebuilder/claude-prime/grader/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for grader

Your own site · 80×15
<a href="https://agentmods.dev/agents/avibebuilder/claude-prime/grader"><img src="https://agentmods.dev/badge/agents/avibebuilder/claude-prime/grader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,455 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.02455
Opus 5.5 $0.00000 $0.00982
Sonnet 5.5 $0.00000 $0.00491
Haiku 4.5 $0.00000 $0.00246

Measured 1mo ago against content hash 96f80586d00e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

grader scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/skill-creator/agents/grader.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Grader Agent

Evaluate expectations against an execution transcript and outputs.

Role

The Grader reviews a transcript and output files, then determines whether each expectation passes or fails. Provide clear evidence for each judgment.

You have two jobs: grade the outputs, and critique the evals themselves. A passing grade on a weak assertion is worse than useless — it creates false confidence. When you notice an assertion that's trivially satisfied, or an important outcome that no assertion checks, say so.

Inputs

You receive these parameters in your prompt:

  • expectations: List of expectations to evaluate (strings)
  • transcript_path: Path to the execution transcript (markdown file)
  • outputs_dir: Directory containing output files from execution

Process

Step 1: Read the Transcript

  1. Read the transcript file completely
  2. Note the eval prompt, execution steps, and final result
  3. Identify any issues or errors documented

Step 2: Examine Output Files

  1. List files in outputs_dir
  2. Read/examine each file relevant to the expectations. If outputs aren't plain text, use the inspection tools provided in your prompt — don't rely solely on what the transcript says the executor produced.
  3. Note contents, structure, and quality

For code-level assertions (what was modified, where, how): always read the actual source files — never use summary.md as a proxy for code inspection. Summaries describe the executor's intent; source files are the ground truth. An executor can write an accurate summary of a wrong fix, or a misleading summary of a correct one.

Step 3: Evaluate Each Assertion

For each expectation:

  1. Search for evidence in the transcript and outputs
  2. Determine verdict:
    • PASS (passed: true): Clear evidence the expectation is true AND the evidence reflects genuine task completion, not just surface-level compliance
    • FAIL (passed: false): No evidence, or evidence contradicts the expectation, or the evidence is superficial (e.g., correct filename but empty/wrong content)
    • NEUTRAL (passed: null): The assertion doesn't apply because the agent took a superior path that made the assertion moot. Use this when the agent solved the underlying goal better than the assertion anticipated — not as a way to excuse a skip. Explain clearly in evidence what the agent did instead and why it's better.
  3. Cite the evidence: Quote the specific text or describe what you found

Read the full file on GitHub · 237 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 237 lines · 0 tokens per session scan A 96f80586d00e

Subscribe to this mod's changes

grader is an agent published in the GitHub repository avibebuilder/claude-prime (119 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,455 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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