profile

A performance-profiling workflow for Flemma that measures or compares typing-related speed, including keystroke latency.

In plain words
What is it for?
Use it to profile performance, run benchmarks, or compare keystroke latency between branches.
Why use it?
It provides a way to investigate whether code changes make typing feel slower, especially around the InsertCharPre event.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/flemma-dev/flemma.nvim/profile
Any agent
npx skills add Flemma-Dev/flemma.nvim --skill profile
Clone the repo
git clone --depth 1 https://github.com/Flemma-Dev/flemma.nvim

Made for: Claude Code, Codex.

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 966 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00048 $0.00966
Opus 5 $0.00024 $0.00483
Sonnet 5 $0.00010 $0.00193
Haiku 4.5 $0.00005 $0.00097

Measured 2d ago against content hash 6637927eb604, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

profile scanned grade C with 1 finding 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf $TMPDIR/flemma-profile-main/contrib/profile
.claude/skills/profile/SKILL.md · 107 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

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.

  1. 2d ago First seen · 107 lines · 48 tokens per session scan C 6637927eb604

Subscribe to this mod's changes

profile is a skill published in the GitHub repository Flemma-Dev/flemma.nvim (57 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 48 tokens to every session and 966 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.