agentsys: Skill for Claude Code

.kiro/skills/perf-theory-gatherer/SKILL.md

perf-theory-gatherer is a skill for Claude Code, Kiro from agent-sh/agentsys. It costs 20 tokens per session (197 once invoked), scanned A, original, MIT.

A method for forming performance explanations from recent Git history and evidence in the relevant code paths.

In plain words
What is it for?
Use it to produce a short list of performance hypotheses for a specific scenario, each linked to code or repository changes and assigned a confidence level.
Why use it?
It gives you testable reasons for slow behavior without jumping straight to unverified fixes.

Skill for Claude CodeKiro

Written for Claude Code and Kiro: shipped in a Claude Code plugin, but also installed under .kiro/.

This is agent-sh/agentsys's own configuration. It tells Claude Code and Kiro how to work on agentsys itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentsys configures →

Part of the agentsys plugin — 28 skills, 1 hook shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to agent-sh/agentsys. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/agent-sh/agentsys/main/.kiro/skills/perf-theory-gatherer/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/agent-sh/agentsys

Made for: Claude Code, Kiro.

Or install agentsys, the plugin that ships this one along with the rest of its 28 skills, 1 hook.

Wrote 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.

agentmods badge for perf-theory-gatherer

README.md
[![agentmods](https://agentmods.dev/badge/skills/agent-sh/agentsys/perf-theory-gatherer/github.svg)](https://agentmods.dev/skills/agent-sh/agentsys/perf-theory-gatherer)
Your own site
<a href="https://agentmods.dev/skills/agent-sh/agentsys/perf-theory-gatherer"><img src="https://agentmods.dev/badge/skills/agent-sh/agentsys/perf-theory-gatherer/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.

agentmods 80×15 button for perf-theory-gatherer

Your own site · 80×15
<a href="https://agentmods.dev/skills/agent-sh/agentsys/perf-theory-gatherer"><img src="https://agentmods.dev/badge/skills/agent-sh/agentsys/perf-theory-gatherer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 197 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00020 $0.00197
Opus 5 $0.00010 $0.00098
Sonnet 5 $0.00004 $0.00039
Haiku 4.5 $0.00002 $0.00020

Measured 11d ago against content hash fa096803a3c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

perf-theory-gatherer 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 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.

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-theory-gatherer/SKILL.md · 36 lines

What it actually says

perf-theory-gatherer

Generate performance hypotheses for a specific scenario.

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

Required Steps

  1. Review recent git history (scope to relevant paths when possible).
  2. Identify code paths involved in the scenario (repo-intel or grep).
  3. Produce up to 5 hypotheses with evidence + confidence.

Output Format

hypotheses:
  - id: H1
    hypothesis: <short description>
    evidence: <file/path or git change>
    confidence: low|medium|high
  - id: H2
    ...

Constraints

  • MUST check git history before hypothesizing.
  • No optimization suggestions; only hypotheses.
  • Keep to 5 hypotheses maximum.
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. 11d ago First seen · 36 lines · 20 tokens per session scan A fa096803a3c3

Subscribe to this mod's changes

perf-theory-gatherer is a skill published in the GitHub repository agent-sh/agentsys (985 stars, last pushed 5d ago), licensed MIT. It adds 20 tokens to every session and 197 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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