10x-bench: Skill for Claude Code

.claude/skills/10x-measure-results/SKILL.md

10x-measure-results is a skill for Claude Code from przeprogramowani/10x-bench. It costs 131 tokens per session (3,085 once invoked), scanned A, original, MIT.

A workflow for scoring completed 10xBench attempts against a defined evaluation rubric. It builds the projects, checks their results, records scores in CSV files, and includes both automated and manual review steps.

In plain words
What is it for?
Use it to evaluate a model's completed projects, check builds and deployments, review content against reference material, and record scores and costs.
Why use it?
It turns separate benchmark attempts into consistent, recorded results. This makes it easier to compare model outputs and identify where an attempt meets or misses the criteria.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents; names the AskUserQuestion tool; reads ~/.codex paths.

This is przeprogramowani/10x-bench's own configuration. It tells Claude Code how to work on 10x-bench 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 10x-bench configures →

Reuse

Borrowing it

Nothing to install: this file belongs to przeprogramowani/10x-bench. 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/przeprogramowani/10x-bench/master/.claude/skills/10x-measure-results/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/przeprogramowani/10x-bench

Made for: Claude Code.

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 10x-measure-results

README.md
[![agentmods](https://agentmods.dev/badge/skills/przeprogramowani/10x-bench/10x-measure-results/github.svg)](https://agentmods.dev/skills/przeprogramowani/10x-bench/10x-measure-results)
Your own site
<a href="https://agentmods.dev/skills/przeprogramowani/10x-bench/10x-measure-results"><img src="https://agentmods.dev/badge/skills/przeprogramowani/10x-bench/10x-measure-results/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 10x-measure-results

Your own site · 80×15
<a href="https://agentmods.dev/skills/przeprogramowani/10x-bench/10x-measure-results"><img src="https://agentmods.dev/badge/skills/przeprogramowani/10x-bench/10x-measure-results.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,085 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00131 $0.03085
Opus 5.5 $0.00052 $0.01234
Sonnet 5.5 $0.00026 $0.00617
Haiku 4.5 $0.00013 $0.00309

Measured 27d ago against content hash 6b56dbe23970, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

10x-measure-results scanned grade A with 1 finding 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 27d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Run them as one background command. Wait until each answers, then check `/`, `/o-nas`, `/podcast` and `/youtube` with curl and record the HTTP codes. "Kursy" is a section on `/`, not a page.
.claude/skills/10x-measure-results/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

10x Measure Results

Scores the attempts eval-attempts/{model-id}-attempt-{N}/ of one model and writes eval-results/{model-id}-attempt-{N}/eval-results.csv.

Input: a model ID (e.g. glm-53). Score every eval-attempts/{model-id}-attempt-* that has a project and no eval-results CSV yet, unless the user names specific attempts.

The rubric is authoritative in the sibling repo; read it at the start of every run:

  • ../10x-bench-eval/benchmark/criteria.md - criteria and the CSV template (total 10 points; Tech stack and Cloudflare deploy are 0.5 each)
  • ../10x-bench-eval/benchmark/eval.md - workflow and content-verification checklists
  • ../10x-bench-eval/benchmark/context/przeprogramowani.md - verified reference content

Run git -C ../10x-bench-eval pull --ff-only first so the rubric is current.

Step 1: Build all attempts in parallel

For each attempt (project root is the attempt dir, or its single nested dir that holds package.json), in parallel:

(cd <root> && { [ -f package-lock.json ] && npm ci --no-audit --no-fund || npm install --no-audit --no-fund; } && npm run build)

Keep install/build logs in the session scratchpad. Build failure rule (eval.md): if the install, the build or the dev server fails, that attempt scores 0 on every criterion; skip the judge and the manual form for it and note why. Grade the project as delivered: a candidate can build successfully in its own session from packages it installed and then leave a package.json without them, so the clean install here is what counts. Don't repair it. Tell the user which attempts failed, since a 0/10 attempt pulls the model average down noticeably.

Step 2: Start dev servers in parallel

Start one dev server per attempt on its own port, starting at 4461 (attempt N -> 446N; use 447x for attempts 10+). Never use 4321; another project's server may already be on it.

(cd <root> && npx astro dev --port 446N --host 127.0.0.1 > <scratchpad>/<attempt>.dev.log 2>&1) &

Run them as one background command. Wait until each answers, then check /, /o-nas, /podcast and /youtube with curl and record the HTTP codes. "Kursy" is a section on /, not a page.

Read the full file on GitHub · 132 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. 27d ago First seen · 132 lines · 131 tokens per session scan A 6b56dbe23970

Subscribe to this mod's changes

10x-measure-results is a skill published in the GitHub repository przeprogramowani/10x-bench (14 stars, last pushed 20d ago), licensed MIT. It adds 131 tokens to every session and 3,085 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-02.

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