pr-test

A workflow for manually testing a code change from start to finish against a running application. It uses Docker Compose to run services, browser actions, and API requests to check how the parts work together.

In plain words
What is it for?
Use it to test pull requests or branches, check new features end to end, and run integration tests against a running system.
Why use it?
It removes the gap between automated tests and checking the application as a user would. It helps find problems that only appear when multiple services, pages, or APIs interact.

Skill for Claude CodeCodex

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/significant-gravitas/autogpt/pr-test
Any agent
npx skills add Significant-Gravitas/AutoGPT --skill pr-test
Clone the repo
git clone --depth 1 https://github.com/Significant-Gravitas/AutoGPT

Made for: Claude Code, Codex.

Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 13,525 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00051 $0.13525
Opus 5 $0.00026 $0.06763
Sonnet 5 $0.00010 $0.02705
Haiku 4.5 $0.00005 $0.01353

Measured yesterday against content hash 3b0bbd45b807, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-test 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 yesterday.

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.

BEFORE=$(curl -s -H "Authorization: Bearer $TOKEN" http://localhost:8006/api/credits | jq '.credits')
.claude/skills/pr-test/SKILL.md · 1,159 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. yesterday First seen · 1,159 lines · 51 tokens per session scan A 3b0bbd45b807

Subscribe to this mod's changes

pr-test is a skill published in the GitHub repository Significant-Gravitas/AutoGPT (187,015 stars, last pushed 2d ago), with no licence file. It adds 51 tokens to every session and 13,525 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

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