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 skills/kevmoo/dash_skills/profile-dart-codenpx skills add kevmoo/dash_skills --skill profile-dart-codegit clone --depth 1 https://github.com/kevmoo/dash_skillsWrote 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/kevmoo/dash_skills/profile-dart-code)<a href="https://agentmods.dev/skills/kevmoo/dash_skills/profile-dart-code"><img src="https://agentmods.dev/badge/skills/kevmoo/dash_skills/profile-dart-code.svg" alt="Measured on agentmods" 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 | $0.00053 | $0.00830 |
| Opus 5 | $0.00026 | $0.00415 |
| Sonnet 5 | $0.00011 | $0.00166 |
| Haiku 4.5 | $0.00005 | $0.00083 |
Grade A, and why
profile-dart-code 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dart CPU Profiling
Guidelines and automated tools for capturing CPU profiles and identifying bottlenecks in Dart command-line applications.
When to use this skill
- When asked to profile, optimize, or benchmark CPU execution of a Dart script or CLI tool.
- When investigating hot loops, heavy function calls, or unexpected execution overhead.
Workflow
- Ensure clean compilation: Make sure the target Dart script runs cleanly
(
dart run <script.dart>). - Run Profiler Script: Use the automated profiling helper script inside this skill directory to launch the target app with VM Service observability enabled, capture CPU samples, and output top-consuming functions.
- Analyze & Optimize: Review the self and total sample percentages reported by the tool to pinpoint bottlenecks (e.g., excessive object allocation, costly hashing, virtual dispatch overhead).
Running the Profiler Helper Script
This repository includes a zero-dependency (using only official vm_service)
profiling script that launches any Dart file, connects to the VM Service, waits
for execution to complete (--pause-isolates-on-exit), retrieves CPU samples,
and prints a clean summary while exporting the full JSON profile.
Run it from any working directory:
dart run <dash_skills_repo>/skills/profile-dart-code/scripts/bin/profile.dart --out=cpu_profile.json -- <path_to_target.dart> [target_arguments...]
Script Arguments
-o, --out=<file>: Output file path to save the raw JSON CPU profile (default:cpu_profile.json).-p, --period=<micros>: Sampling interval in microseconds (default:1000µs = 1ms). Minimum50µs.-- <target.dart> [args...]: The Dart script to profile, followed by any arguments passed tomain().
[!WARNING] Potential Hangs: When profiling or debugging Dart targets using VM services, target exceptions or connection issues can cause the process to hang indefinitely. Ensure your target script handles timeouts, and monitor the process output.
What ships with it
3 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.
- 5d ago First seen · 83 lines · 53 tokens per session scan A 17760386a034
profile-dart-code is a skill published in the GitHub repository kevmoo/dash_skills (144 stars, last pushed 5d ago), licensed Apache-2.0. It adds 53 tokens to every session and 830 once invoked, about $0.0003 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 2026-08-30.
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