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 skills add lucifer1004/VeloQ --skill ncu-profile-analysisgit clone --depth 1 https://github.com/lucifer1004/VeloQWrote 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/skills/lucifer1004/veloq/ncu-profile-analysis)<a href="https://agentmods.dev/skills/lucifer1004/veloq/ncu-profile-analysis"><img src="https://agentmods.dev/badge/skills/lucifer1004/veloq/ncu-profile-analysis/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/skills/lucifer1004/veloq/ncu-profile-analysis"><img src="https://agentmods.dev/badge/skills/lucifer1004/veloq/ncu-profile-analysis.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 | $0.00061 | $0.03222 |
| Opus 5 | $0.00030 | $0.01611 |
| Sonnet 5 | $0.00012 | $0.00644 |
| Haiku 4.5 | $0.00006 | $0.00322 |
Grade C, and why
ncu-profile-analysis scanned grade C with 2 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 11d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://raw.githubusercontent.com/lucifer1004/veloq/main/scripts/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://raw.githubusercontent.com/lucifer1004/veloq/main/scripts/install.sh | bash How it starts
The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nsight Compute Profile Analysis
Use this skill for Nsight Compute .ncu-rep and zstd-compressed
.ncu-repz kernel reports and
kernel-internal bottleneck analysis. NCU explains why a kernel is slow
internally; NSys explains what ran when. Use veloq ncu as the
evidence extractor for report data, then decide whether the evidence
points to occupancy, memory, scheduler, instruction, launch, or
source-line work.
This skill requires the VeloQ CLI on PATH. If veloq is missing,
install it before analysis.
Tool Boundary
Use veloq ncu verbs as the analysis interface. Do not parse
<file>.veloq/ncu-native.json.gz, disasm cache files, or other
.veloq/ artifacts directly unless the user explicitly asks for raw
artifact inspection or you are developing VeloQ itself.
Detection
veloq info path/to/report.ncu-rep
veloq ncu summary --help
If veloq is missing, install it:
# Pre-built binary (Linux x86_64/aarch64, macOS x86_64/arm64)
curl -fsSL https://raw.githubusercontent.com/lucifer1004/veloq/main/scripts/install.sh | bash
# Or build from source — clone the repo first, then:
cargo build --release -p veloq
Envelope contract
JSON output is the agent contract. Success:
{
"schema": "v1",
"source": { "kind": "ncu", "version": "v1" },
"command": "ncu.launches",
"trace": { "kind": "ncu", "path": "..." },
"data": {
"count": 50,
"total_matched": 1234,
"rows": [
/* ... */
],
"auxiliary": {
/* per-verb */
}
}
}
trace_span is omitted on NCU verbs (NCU reports do not carry the
NSys-style primary-execution window). Every list verb returns
canonical data.rows[] with a stable per-row key:
ncu summary→ one totals row (key: "totals")ncu launches/inspect→key = "launch:<idx>"ncu disasm→key = "kernel|<function_name>"; requested launch id is echoed underdata.auxiliary.row_idncu metrics(long form) →key = "launch:<idx>|counter:<name>"ncu metrics --per-launch→key = "launch:<idx>"ncu source-metrics --by line→key = "launch:<idx>|line:<file>:<line>"ncu source-metrics --by sass→key = "launch:<idx>|sass:0x<addr>"ncu source-metrics --by file→key = "launch:<idx>|file:<file>"ncu warp-stalls --by line→key = "launch:<idx>|line:<file>:<line>"ncu warp-stalls --by sass→key = "launch:<idx>|sass:0x<addr>"ncu warp-stalls --by reason→key = "launch:<idx>|reason:<stall_reason>"ncu sources→key = "source:<idx>"ncu ranges/graphs→key = "<kind>:<idx>"
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 250 lines · 61 tokens per session scan C 0e8fa886e3ae
ncu-profile-analysis is a skill published in the GitHub repository lucifer1004/VeloQ (120 stars, last pushed 20d ago), licensed MIT. It adds 61 tokens to every session and 3,222 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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