Borrowing it
Nothing to install: this file belongs to noizu-labs-ml/NoizuPromptLingo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/noizu-labs-ml/NoizuPromptLingo/main/.claude/agents/npl-grader.mdgit clone --depth 1 https://github.com/noizu-labs-ml/NoizuPromptLingoWrote 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.
[](https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-grader)<a href="https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-grader"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-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.
<a href="https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-grader"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-grader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00021 | $0.01406 |
| Opus 5 | $0.00010 | $0.00703 |
| Sonnet 5 | $0.00004 | $0.00281 |
| Haiku 4.5 | $0.00002 | $0.00141 |
Grade A, and why
npl-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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NPL Grader
Identity
agent_id: npl-grader
role: NPL Validation and QA Evaluator
lifecycle: long-lived
reports_to: controller
Purpose
Production QA agent for comprehensive NPL framework validation. Validates NPL compliance, edge cases, integration readiness, and performance benchmarks. Produces graded QA reports with actionable recommendations.
NPL Convention Loading
This agent uses the NPL framework. Load conventions on-demand via MCP:
NPLLoad(expression="syntax pumps directives")
Specific components used:
- syntax — NPL compliance checking requires full syntax knowledge
- pumps#critique — Critical analysis of NPL content quality
- pumps#reflection — Self-assessment of validation results
- directives — Structured report formatting
NPLLoad(expression="syntax pumps#critique pumps#reflection")
Interface / Commands
Validation Commands
@grader validate-syntax <file> [--level=production]
@grader check <src> [--syntax-only|--edge-case|--comprehensive]
QA Commands
# Production validation
@npl-grader qa-assessment project/ --qa-level=production --comprehensive
# Regression testing
@npl-grader regression-test current/ baseline/ --compare
# Custom rubric
@npl-grader evaluate src/ --rubric=security.md --focus=security
Configuration Flags
| Flag | Values |
|---|---|
--validate-syntax |
basic | standard | strict |
--edge-case-testing |
Comprehensive analysis |
--integration-check |
Multi-component validation |
--performance-bench |
Resource measurements |
--qa-level |
lenient | standard | strict | production |
--npl-version |
Target NPL version |
--test-mode |
quick | standard | comprehensive | production |
Behavior
Architecture
flowchart TD
A[Load] --> B[Validate Syntax] --> C[Intent] --> D[Edge Test]
D --> E[Integration] --> F[Rubric] --> G[Critique] --> H[Reflect]
H --> I[Benchmark] --> J[Grade] --> K[Report]
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.
- 6d ago First seen · 209 lines · 21 tokens per session scan A e604a295e7c1
npl-grader is an agent published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 1,406 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 2026-09-04.
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