review-performance

review-performance is a skill for Claude Code, Codex from xingwudao/open-xquant. It costs 34 tokens per session (1,411 once invoked), scanned A, original, MIT.

A workflow for examining open-xquant backtest results and research comparisons. A backtest evaluates how a strategy would have performed using historical market data.

In plain words
What is it for?
Reviewing performance, audit findings, reports, and comparisons between experiments or strategies.
Why use it?
It helps answer whether a strategy worked and how to interpret its results, while keeping the review tied to the correct version and its audit records.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Reviewing performance, audit findings, reports, and comparisons between experiments or strategies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xingwudao/open-xquant/review-performance
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 xingwudao/open-xquant --skill review-performance
Clone the repo
git clone --depth 1 https://github.com/xingwudao/open-xquant

Made for: Claude Code, Codex.

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 review-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/xingwudao/open-xquant/review-performance/github.svg)](https://agentmods.dev/skills/xingwudao/open-xquant/review-performance)
Your own site
<a href="https://agentmods.dev/skills/xingwudao/open-xquant/review-performance"><img src="https://agentmods.dev/badge/skills/xingwudao/open-xquant/review-performance/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 review-performance

Your own site · 80×15
<a href="https://agentmods.dev/skills/xingwudao/open-xquant/review-performance"><img src="https://agentmods.dev/badge/skills/xingwudao/open-xquant/review-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,411 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 $0.00034 $0.01411
Opus 5 $0.00017 $0.00705
Sonnet 5 $0.00007 $0.00282
Haiku 4.5 $0.00003 $0.00141

Measured 9d ago against content hash c4fe1fd7f83a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

review-performance 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 9d 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.

agent/skills/review-performance/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Phase Path Containment Preflight

Before any phase artifact read, write, directory creation, command, or handoff, run this preflight completely and block on any failure:

  1. Read .open-xquant/workspace.yaml. Resolve version_root from paths.versions_dir, using versions only when that key is absent. Require version_root to be a safe workspace-relative path: reject an absolute path or any .. path segment, resolve it canonically with symlinks, and require the result to stay inside the workspace.
  2. Read current.json. For normal phase work, set expected_version_id to current.json.active_version; it must exist. Only a contract that explicitly owns cross-version inspection may instead set expected_version_id from the referenced version id for that historical read. This exception never permits active-version work to consume another version.
  3. Set the intended version directory to <version_root>/<expected_version_id>/ and resolve it canonically. Require the intended version directory to remain inside the canonical version root and workspace; otherwise treat it as a symlink escape. Read version_manifest.json only from that exact directory. The manifest version_id must equal expected_version_id; for normal phase work it therefore must also equal current.json.active_version.
  4. Before using each required phase_paths value, require a non-empty workspace-relative string. Reject an absolute path and any .. path segment. Resolve <workspace>/<phase_path> canonically, including existing symlink ancestors even when the leaf will be created, and require the target to be the intended version directory or a descendant of it. A symlink escape outside that directory is invalid.
  5. On any identity or path failure, stop before phase artifact reads, writes, directory creation, commands, or handoffs. Do not normalize an unsafe path into acceptance and do not fall back to a default phase path.

Block examples when expected_version_id is v001 include strategy_store/v001/../v002/04_spec_build, strategy_store/v002/04_spec_build, /tmp/04_spec_build, and strategy_store/v001/escape/04_spec_build when escape is a symlink whose target is outside the intended version directory. An allowed custom nested phase path is strategy_store/v001/custom/phases/04_spec_build when its canonical target remains under the intended version directory.

For a new-version bootstrap, only manage-strategy-version may proceed before the new manifest exists or the new id becomes active. It must apply the same workspace-relative, traversal, canonical-containment, and symlink checks to every constructed phase path before directory creation, then write a matching manifest before publishing current.json last.

Read the full file on GitHub · 150 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. 9d ago First seen · 150 lines · 34 tokens per session scan A c4fe1fd7f83a

Subscribe to this mod's changes

review-performance is a skill published in the GitHub repository xingwudao/open-xquant (127 stars, last pushed 7d ago), licensed MIT. It adds 34 tokens to every session and 1,411 once invoked, about $0.0002 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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