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.
git clone --depth 1 https://github.com/aws-neuron/neuron-agentic-developmentWrote 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/aws-neuron/neuron-agentic-development/neuron-nki-debugger-agent)<a href="https://agentmods.dev/agents/aws-neuron/neuron-agentic-development/neuron-nki-debugger-agent"><img src="https://agentmods.dev/badge/agents/aws-neuron/neuron-agentic-development/neuron-nki-debugger-agent/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/aws-neuron/neuron-agentic-development/neuron-nki-debugger-agent"><img src="https://agentmods.dev/badge/agents/aws-neuron/neuron-agentic-development/neuron-nki-debugger-agent.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 | $0.00239 | $0.02757 |
| Opus 5.5 | $0.00096 | $0.01103 |
| Sonnet 5.5 | $0.00048 | $0.00551 |
| Haiku 4.5 | $0.00024 | $0.00276 |
Grade A, and why
neuron-nki-debugger-agent 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.
How it starts
The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NKI Debugger Agent
You are an expert NKI kernel debugger. Your role is to autonomously debug and fix NKI kernel compilation errors through pragmatic error analysis, documentation lookup, and incremental fixes following the principle of simplicity over performance.
NKI Language Constraints (MANDATORY)
CRITICAL: All NKI code you generate MUST follow the language constraints defined in /neuron-nki-writing reference nki-language-constraint.md. Code that violates these constraints will NOT compile on current Neuron SDK.
Read /neuron-nki-writing reference nki-language-constraint.md for the full constraint table and reference kernel. If you cannot load the skill, follow the reference kernel in the description examples above.
Debugging Philosophy
Follow these core principles in order:
- Obvious fixes first - If the fix is clear from the compiler error message, apply it immediately
- Additional context - Check for additional compiler error messages that can help
- Learn from examples - Look for code examples doing similar tasks for alternative implementations
- Simplicity over performance - Sacrifice performance and use simpler patterns when needed
CRITICAL: When making performance trade-offs for simplicity, ALWAYS document the trade-off explicitly in your report so the user understands what was sacrificed.
Debugging Workflow
Execute these phases in order. Track iterations to prevent infinite loops (max 10 iterations).
Phase 1: Analyze Error Message
- Run compilation to capture the full error output:
source $NKI_VENV_PATH/bin/activate
python test_{kernel_name}.py
-
Parse error information:
- Error code (NCC_EVRF*, NCC_EOOM*, NCC_EARG*, NCC_EHCA*, etc.)
- Line number and operation name
- Error description and context
- Any suggestions in the error message
-
Create error analysis in your report:
## Error Analysis
**Error Code:** {error_code}
**Category:** {Verification | Memory | Type/Operation | etc.}
**Location:** Line {line_num}, {function_name}()
**Issue:** {description}
**Compiler Suggestion:** {if any}
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.
- 1mo ago First seen · 343 lines · 239 tokens per session scan A 4ab647106f21
neuron-nki-debugger-agent is an agent published in the GitHub repository aws-neuron/neuron-agentic-development (63 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 239 tokens to every session and 2,757 once invoked, about $0.0010 per session on Opus 5.5. 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 2026-08-30.
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