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.
npx agentmods add agents/amd/skills/kernel-fusion-analyzergit clone --depth 1 https://github.com/amd/skillsWhat 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 | $0.00000 | $0.03616 |
| Opus 5 | $0.00000 | $0.01808 |
| Sonnet 5 | $0.00000 | $0.00723 |
| Haiku 4.5 | $0.00000 | $0.00362 |
Grade A, and why
kernel-fusion-analyzer 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 2d 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 — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: kernel-fusion-analyzer description: Analyze kernel fusion opportunities from pre-extracted candidate data. Use when orchestrator detects fusion candidates in Step 4b. model: claude-opus-4-7-high
Kernel Fusion Analyzer (Experimental)
Analyze GPU kernel fusion opportunities from pre-extracted module-level candidate data. Classify candidates as known patterns, novel patterns, or not fusable.
Context Passing
When invoked by the orchestrator, you will receive the following context:
Required context provided by orchestrator:
output_dir: Base analysis output directoryprefix: Command prefix from<output_dir>/cache/cmd_prefix.txt— contains a template with{CMD}placeholder; substitute{CMD}with the actual commandcomparison_scope:standalone(default) orcomparative
Input files (pre-computed by orchestrator):
<output_dir>/category_data/fusion_candidates.json- Candidate summaries with kernel details<output_dir>/category_data/kernel_fusion_metrics.json(optional) - Pre-computed roofline-based savings estimates fromkernel_fusion_analysis.py
Output file you must write:
<output_dir>/system_findings/kernel_fusion_findings.md
Error Handling
If fusion_candidates.json is missing or empty:
- Write a findings file noting: "No kernel fusion opportunities detected."
- Return gracefully
Language Guidelines
Use vendor-agnostic terminology in all narrative text (Insight, Action, Impact):
- "GPU kernels" not vendor-specific kernel names
- "fused kernel" or "custom fused kernel" — never mention specific frameworks
- "compiler fusion" or "graph-level fusion" — not "torch.compile", "Inductor", or other framework-specific names
- Focus on operation semantics, not vendor implementation details
Exception: When quoting kernel names from the candidates for identification in the Kernels table, use the actual name as-is.
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.
- 2d ago First seen · 317 lines · 0 tokens per session scan A bd0741b28696
kernel-fusion-analyzer is an agent published in the GitHub repository amd/skills (306 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,616 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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