perf-code-paths

A code-navigation procedure for finding the files, entry points, and call paths most likely involved in a performance problem.

In plain words
What is it for?
Use it to map candidate files and symbols for performance scenarios in Rust, JavaScript or TypeScript, Go, or Python.
Why use it?
It narrows a performance investigation to the most relevant parts of the code before profiling begins.

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/agent-sh/agentsys/perf-code-paths
Any agent
npx skills add agent-sh/agentsys --skill perf-code-paths
Clone the repo
git clone --depth 1 https://github.com/agent-sh/agentsys

Made for: Claude Code, Codex.

Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 193 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00021 $0.00193
Opus 5 $0.00010 $0.00097
Sonnet 5 $0.00004 $0.00039
Haiku 4.5 $0.00002 $0.00019

Measured 2d ago against content hash f81bc21cf4b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

perf-code-paths 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.

.kiro/skills/perf-code-paths/SKILL.md · 33 lines

What it actually says

perf-code-paths

Identify likely implementation paths for a performance scenario.

Follow docs/perf-requirements.md as the canonical contract.

Required Steps

  1. Use repo-intel if available; otherwise use grep for entrypoints and handlers.
  2. List top candidate files/symbols tied to the scenario.
  3. Include imports/exports or call chains when relevant.

Output Format

keywords: <comma-separated list>
paths:
  - file: <path>
    symbols: [<symbol1>, <symbol2>]
    evidence: <short reason>

Constraints

  • Focus only on supported languages (Rust, Java, JS/TS, Go, Python).
  • Keep to the most relevant 10-15 files.
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 · 33 lines · 21 tokens per session scan A f81bc21cf4b0

Subscribe to this mod's changes

perf-code-paths is a skill published in the GitHub repository agent-sh/agentsys (980 stars, last pushed 5d ago), licensed MIT. It adds 21 tokens to every session and 193 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 2026-08-30.

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