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 OctoPerf/octoperf-claude-plugins --skill octoperf-auto-correlationgit clone --depth 1 https://github.com/OctoPerf/octoperf-claude-pluginsWrote 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/octoperf/octoperf-claude-plugins/octoperf-auto-correlation)<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.
<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>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 | $0.00132 | $0.03333 |
| Opus 5 | $0.00066 | $0.01666 |
| Sonnet 5 | $0.00026 | $0.00667 |
| Haiku 4.5 | $0.00013 | $0.00333 |
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.
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_userrun 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 versioning — apply_correlations_to_virtual_user and a
bad custom rule are hard to undo. Take a one-call backup first:
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.
- 12d ago First seen · 259 lines · 132 tokens per session scan A 6e1e6b1bbabd
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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