gspdev-benchmark

gspdev-benchmark is a skill for Claude Code from jubscodes/get-shit-pretty. It costs 26 tokens per session (776 once invoked), scanned A, original, MIT.

A measurement tool for tracking how much text and processing budget GSP uses over time. It saves JSON snapshots for releases and development changes, then compares or charts their trend.

In plain words
What is it for?
Use it to capture a release baseline, save a labelled development snapshot, compare two snapshots, or review changes across all recorded snapshots.
Why use it?
It makes it easier to see whether a release or code change increases or reduces the framework's usage cost.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

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.

agentmods
npx agentmods add skills/jubscodes/get-shit-pretty/gspdev-benchmark
Any agent
npx skills add jubscodes/get-shit-pretty --skill gspdev-benchmark
Clone the repo
git clone --depth 1 https://github.com/jubscodes/get-shit-pretty

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 gspdev-benchmark

README.md
[![agentmods](https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gspdev-benchmark.svg)](https://agentmods.dev/skills/jubscodes/get-shit-pretty/gspdev-benchmark)
Your own site
<a href="https://agentmods.dev/skills/jubscodes/get-shit-pretty/gspdev-benchmark"><img src="https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gspdev-benchmark.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 776 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00026 $0.00776
Opus 5 $0.00013 $0.00388
Sonnet 5 $0.00005 $0.00155
Haiku 4.5 $0.00003 $0.00078

Measured 6d ago against content hash 3dd3d918155c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

gspdev-benchmark 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 6d 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.

dev/skills/gspdev-benchmark/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Snapshots live in dev/benchmarks/ as JSON files. The workflow is release-centric:

  1. At each release, capture a baseline: benchmark.sh release{version}.release.json
  2. During development, capture snapshots: benchmark.sh capture [label]
  3. Before PR, compare against release: benchmark.sh compare (auto-selects release baseline)

This measures the cumulative impact of changes heading into the next release.

Read $ARGUMENTS to determine the mode:

Input Mode
(no args) Capture + auto-compare against release baseline
capture [label] Capture with optional label
release Capture as the release baseline for this version
compare [v1] [v2] Compare two snapshots (default: release vs latest)
trend Show trajectory across all snapshots

Step 1: Execute mode

Default mode (no args)

  1. Run bash dev/scripts/benchmark.sh capture
  2. If a release baseline exists, automatically run benchmark.sh compare
  3. Present the comparison table and analysis

This is the most common invocation — "where are we vs the last release?"

Capture mode

Run bash dev/scripts/benchmark.sh capture [label].

After capture, read the JSON from dev/benchmarks/ and present a summary:

  • Total weight and red-zone count
  • Top 5 heaviest skills with their breakdown
  • Rate limit risk (API conversations, double-dispatch count)
  • If a release baseline exists, auto-compare and highlight changes

Release mode

Run bash dev/scripts/benchmark.sh release.

This is part of the publish flow — capture the definitive baseline for this version. All future compare calls will diff against this baseline until the next release.

Remind the user: "Add benchmark.sh release to your /gspdev-publish checklist."

Compare mode

Run bash dev/scripts/benchmark.sh compare [v1] [v2].

Read the full file on GitHub · 93 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. 6d ago First seen · 93 lines · 26 tokens per session scan A 3dd3d918155c

Subscribe to this mod's changes

gspdev-benchmark is a skill published in the GitHub repository jubscodes/get-shit-pretty (54 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 776 once invoked, about $0.0001 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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