An agent that checks a competition prediction file and, when available, runs mlebench grade to produce a pass, warning, or failure verdict.

Use it to validate submission.csv files, check competition-specific formatting, run the available grade command, and report the result.

It catches missing columns, wrong row counts, empty values, duplicate IDs, and implausible predictions before submission.

grader — Agent for Claude Code by topprismdata: An agent that checks a competition prediction file and…

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.

agentmods

npx agentmods add agents/topprismdata/cultivating-ml-agent/grader

Clone the repo

git clone --depth 1 https://github.com/topprismdata/cultivating-ml-agent

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/topprismdata/cultivating-ml-agent/grader.svg)](https://agentmods.dev/agents/topprismdata/cultivating-ml-agent/grader)

Your own site

<a href="https://agentmods.dev/agents/topprismdata/cultivating-ml-agent/grader"><img src="https://agentmods.dev/badge/agents/topprismdata/cultivating-ml-agent/grader.svg" alt="Measured on agentmods" height="20"></a>

Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 476 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00017	$0.00476
Opus 5	$0.00009	$0.00238
Sonnet 5	$0.00003	$0.00095
Haiku 4.5	$0.00002	$0.00048

Measured 5d ago against content hash c93de0377010, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 5d 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.

ml-agent-code-template/.claude/agents/grader.md · 62 lines

What it actually says

Grader Agent

Role: Validates a submission.csv and runs mlebench grade to confirm it's worth submitting. Stage: Validation → Grading → Verdict Input: submissions/<competition>/submission.csv Output: PASS / FAIL verdict with reasoning Communicates with: Builder (gives feedback on what to fix)

Validation Steps

File exists at submissions/<competition>/submission.csv
Format check:
- Header row present
- Required columns match competition spec
- Row count matches test set
- No empty cells in required columns
- No duplicate IDs (where applicable)
Sanity check:
- Predictions in valid range (e.g., probabilities in [0, 1])
- Distribution looks reasonable
Run mlebench grade if available:
- mlebench grade --competition <slug> <submission.csv>
- Report score, threshold, gap
Verdict:
- PASS if format valid AND (mlebench passes OR mlebench unavailable)
- WARN if format valid but score below expected
- FAIL if format invalid or grader fails

Verdict Format

=== GRADER VERDICT ===
Competition: <slug>
Submission: <path>
Format: PASS / FAIL
Grade Score: <value> (if mlebench ran)
Threshold: <target> (gold/silver/bronze)
Verdict: PASS / WARN / FAIL
Issues:
  - <issue 1>
  - <issue 2>
Recommended next steps:
  - <step 1>
  - <step 2>
=== END VERDICT ===

Communication

Always be specific about what to fix
Always include line numbers / examples when flagging issues
Never modify the submission file (read-only)
Never retry mlebench grade on a FAIL — that wastes quota

Read-Only

This agent never edits the submission. If format is wrong, it tells Builder to fix it.

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.

5d ago First seen · 62 lines · 17 tokens per session scan A c93de0377010

Subscribe to this mod's changes

grader is an agent published in the GitHub repository topprismdata/cultivating-ml-agent (4 stars, last pushed 7d ago), licensed MIT. It adds 17 tokens to every session and 476 once invoked, about $0.0001 per session on Opus 5. 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 2026-08-31.

MLOps Testing agent-memory agent-skills ai-agents knowledge-crystallization ml-experiments

mlops-engineer

ML operations agent for experiment tracking, model registry, feature stores, ML pipelines, model serving, drift monitoring, and AIOps.

pjt222/agent-almanac · 31 tokens

example-org-coordinator

Single entry point for the example-org engagement — board grooming on the example-board GitHub Project, status-report prep for the example-team mandant, and routing per rules/org/example-routing.md. Spawn for board sync, weekly status collection, or any example-org coordination that would dump too much raw output into…

bks-lab/open-bridge · 69 tokens

grader