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/biw/skills/electron-flamegraphnpx skills add biw/skills --skill electron-flamegraphgit clone --depth 1 https://github.com/biw/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/biw/skills/electron-flamegraph)<a href="https://agentmods.dev/skills/biw/skills/electron-flamegraph"><img src="https://agentmods.dev/badge/skills/biw/skills/electron-flamegraph.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 | $0.00029 | $0.00460 |
| Opus 5 | $0.00015 | $0.00230 |
| Sonnet 5 | $0.00006 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
electron-flamegraph 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 4d 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.
What it actually says
Electron Flamegraph: Setup & Analysis
Route to exactly one phase. Do not load the other phase's reference unless the user asks to continue into it.
Setup a capture
Use when the user has not produced a .cpuprofile yet.
- Inspect
package.json, Electron tooling config, and the main-process entry to identify the launcher, language, bundling, and source-map behavior. - Read
references/setup-patterns.md, but only the strategy and launcher sections that apply. - Choose whole-process
--cpu-profwhen there is no specific hypothesis, programmatic scoped profiling when one operation is suspected, or live--inspectfor interactive capture. Default to scoped profiling for a concrete operation and whole-process profiling otherwise. - Produce the exact launcher-specific command. For scoped profiling, add or adapt the helper in the project's style and show the precise call to wrap.
- Tell the user where the profile will land and what scenario to reproduce, then stop and wait for the resulting file path. Do not execute the interactive profiling command.
Analyze a capture
Use when the user provides a .cpuprofile path. Read references/analysis-workflow.md and follow it completely. Run the bundled scripts/analyze-cpuprofile.mjs from this skill directory rather than recreating its analysis.
Boundaries
- Profile Electron's main process only. Use the renderer DevTools Performance panel for renderer work.
- Do not analyze without a valid capture or invent a CPU finding to match the user's hypothesis.
- Do not recommend worker threads unless the profile shows sustained, irreducible CPU-bound main-process work.
Resources
references/setup-patterns.md: capture strategies and exact launcher-specific commands.references/analysis-workflow.md: profile validation, analyzer options, interpretation, and reporting.scripts/analyze-cpuprofile.mjs: deterministic.cpuprofilesummary and heuristics.
What ships with it
4 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.
- 4d ago First seen · 38 lines · 29 tokens per session scan A c94fa41e7304
electron-flamegraph is a skill published in the GitHub repository biw/skills (2 stars, last pushed 10d ago), licensed MIT. It adds 29 tokens to every session and 460 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…