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 skills add xD4O/praxis --skill performance-reasoninggit clone --depth 1 https://github.com/xD4O/praxisWrote 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/xd4o/praxis/performance-reasoning)<a href="https://agentmods.dev/skills/xd4o/praxis/performance-reasoning"><img src="https://agentmods.dev/badge/skills/xd4o/praxis/performance-reasoning/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.
<a href="https://agentmods.dev/skills/xd4o/praxis/performance-reasoning"><img src="https://agentmods.dev/badge/skills/xd4o/praxis/performance-reasoning.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00078 | $0.01311 |
| Opus 5.5 | $0.00031 | $0.00524 |
| Sonnet 5.5 | $0.00016 | $0.00262 |
| Haiku 4.5 | $0.00008 | $0.00131 |
Grade A, and why
performance-reasoning 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 15d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Reasoning Protocol
EXTREMELY_IMPORTANT: This is a MANDATORY protocol, not a suggestion. Follow every step. Do not skip steps. Do not combine steps. Do not summarize. Work through each gate in order.
Something works but needs to be better. Do NOT start optimizing. An unmeasured optimization is a guess wearing a lab coat. Follow this protocol.
STEP 1 — Measure the baseline
Before changing anything, produce a baseline measurement:
- Metric: the exact number the user wants improved (p95 latency, $/month, RSS, req/s)
- Method: the exact command, profiler, or benchmark used — record it verbatim
- Result: the current value, plus variance across at least 3 runs
- Bottleneck: the specific function, query, or resource the profile names as dominant
Do NOT proceed on intuition ("it's probably the DB"). "It's structural, I don't need a profile" is the same intuition in better clothes — an N+1 pattern, a nested loop, a chatty API are hypotheses about cost until a measurement says they dominate. If you cannot run a profiler or benchmark, add measurement instrumentation FIRST — that is the first task, not optional. Sequencing is the discipline: do NOT present rewritten code before this step is complete. When measurement is impossible in your context, the deliverable is the measurement plan first, then a fix labeled HYPOTHESIS — measurement bolted on after the rewrite as "verification" is this step skipped.
STEP 2 — Identify the single binding constraint
Apply Theory of Constraints. From the baseline profile, name exactly ONE binding constraint — the resource or step that limits the whole system. Not a list of "things that could be slow." One.
State it as: "The constraint is [X], consuming [N]% of [metric]. Improving anything else changes the end-to-end number by at most [100−N]%."
If no single item dominates (nothing above ~30%), say so explicitly — that is a finding, and it means broad rewrites, not spot fixes, and the user must confirm scope.
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.
- 15d ago First seen · 118 lines · 78 tokens per session scan A 17a99de49747
performance-reasoning is a skill published in the GitHub repository xD4O/praxis (28 stars, last pushed 2mo ago), licensed MIT. It adds 78 tokens to every session and 1,311 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-02.
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