octoperf-auto-correlation

octoperf-auto-correlation is a skill for Claude Code from OctoPerf/octoperf-claude-plugins. It costs 132 tokens per session (3,333 once invoked), scanned A, original, Apache-2.0.

A workflow for fixing recorded OctoPerf virtual-user tests whose replayed requests contain outdated values such as session tokens, CSRF tokens, or signed URLs. It updates the test to capture fresh values from responses and reuse them later.

In plain words
What is it for?
Use it after an imported HAR, Postman, or JMX test fails validation because dynamic values are stale, or before load testing when one-user validation may hide correlation problems.
Why use it?
Recorded values can expire or be tied to one session, causing replay failures such as unauthorized responses or invalid-token errors.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the octoperf plugin — 20 skills, 1 MCP server shipped together

Good fit Use it after an imported HAR, Postman, or JMX test fails validation because dynamic values are stale, or before load testing when one-user validation may hide correlation problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/octoperf/octoperf-claude-plugins/octoperf-auto-correlation
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.

Any agent
npx skills add OctoPerf/octoperf-claude-plugins --skill octoperf-auto-correlation
Clone the repo
git clone --depth 1 https://github.com/OctoPerf/octoperf-claude-plugins

Made for: Claude Code.

Or install octoperf, the plugin that ships this one along with the rest of its 20 skills, 1 MCP server.

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 octoperf-auto-correlation

README.md
[![agentmods](https://agentmods.dev/badge/skills/octoperf/octoperf-claude-plugins/octoperf-auto-correlation/github.svg)](https://agentmods.dev/skills/octoperf/octoperf-claude-plugins/octoperf-auto-correlation)
Your own site
<a href="https://agentmods.dev/skills/octoperf/octoperf-claude-plugins/octoperf-auto-correlation"><img src="https://agentmods.dev/badge/skills/octoperf/octoperf-claude-plugins/octoperf-auto-correlation/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 octoperf-auto-correlation

Your own site · 80×15
<a href="https://agentmods.dev/skills/octoperf/octoperf-claude-plugins/octoperf-auto-correlation"><img src="https://agentmods.dev/badge/skills/octoperf/octoperf-claude-plugins/octoperf-auto-correlation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,333 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.
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 $0.00132 $0.03333
Opus 5 $0.00066 $0.01666
Sonnet 5 $0.00026 $0.00667
Haiku 4.5 $0.00013 $0.00333

Measured 12d ago against content hash 6e1e6b1bbabd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

octoperf-auto-correlation 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 12d 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.

plugins/octoperf/skills/octoperf-auto-correlation/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OctoPerf — Auto-correlation workflow

When a recorded Virtual User (VU) fails its replay because dynamic server-issued values become stale, correlation is the fix: extract the new value from a response and inject it into the next request. This skill drives that loop through the MCP tools without manually editing the VU.

When this applies

Apply this skill in one of two modes.

Reactive — when all of:

  • The VU was imported (import_har_virtual_user, upload_jmx_virtual_user, import_postman_virtual_user, …) — not hand-written.
  • A validate_virtual_user run finished with failures.
  • The failures look like dynamic-value mismatches: HTTP 401/403 on the second+ request, server errors about "invalid token", "expired session", "CSRF mismatch", "signature verification failed", "nonce reused", or response bodies referencing IDs/keys that don't match what the request sent.

Proactive — validation is clean but a run_scenario is planned. A 1-user validation often masks correlation gaps because JMeter's CookieManager auto-handles session cookies — under concurrent load the same VU can break (per-session token binding, race conditions, WAF heuristics). Walk the VU with get_virtual_user and look for hardcoded server-generated values still in place: long base64 / hex strings, session ids in URL paths (;jsessionid=...), hidden form tokens (_sourcePage, __fp, __VIEWSTATE, …), JWTs in headers. Apply step 2 (framework presets) to harden, then re-validate.

If failures are about request bodies (wrong JSON shape), missing variables, HTTP server config (wrong timeout / baseUrl), or 5xx server errors unrelated to identity — this is not an auto-correlation problem; use the validation-triage skill instead.

Steps

0. Snapshot the VU before you rewrite it

Correlation rewrites the VU's action tree in place, and OctoPerf has no VU versioningapply_correlations_to_virtual_user and a bad custom rule are hard to undo. Take a one-call backup first:

Read the full file on GitHub · 259 lines

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. 12d ago First seen · 259 lines · 132 tokens per session scan A 6e1e6b1bbabd

Subscribe to this mod's changes

octoperf-auto-correlation is a skill published in the GitHub repository OctoPerf/octoperf-claude-plugins (0 stars, last pushed 5d ago), licensed Apache-2.0. It adds 132 tokens to every session and 3,333 once invoked, about $0.0007 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.

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