github-issue-test

A standard workflow for checking whether a GitHub issue has really been implemented in a development environment. It looks for a merged pull request and follows the issue’s acceptance steps.

In plain words
What is it for?
Use it to test a resolved issue, locate its related merged pull request, and verify the implemented behavior through a browser or other development checks.
Why use it?
It reduces the chance of declaring an issue complete before its code is merged and its behavior is verified.

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/p2ergmbh/agentic-coding/github-issue-test
Any agent
npx skills add P2ERGmbH/agentic-coding --skill github-issue-test
Clone the repo
git clone --depth 1 https://github.com/P2ERGmbH/agentic-coding

Made for: Claude Code, Codex.

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,984 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 $0.00019 $0.01984
Opus 5 $0.00010 $0.00992
Sonnet 5 $0.00004 $0.00397
Haiku 4.5 $0.00002 $0.00198

Measured 2d ago against content hash e148ecc060e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github-issue-test 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 2d 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.

.agents/skills/github-issue-test/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Issue Verification Workflow

This workflow guides you through standardizing the verification of implemented GitHub issues on the development environment.

Role & Persona

You are an expert software engineer and autonomous agent.

Trigger

Use this workflow whenever the user asks to "run the github-issue-test workflow," "verify issue #," or "test if issue # is resolved."


Phase 1: Issue Analysis and State Detection

  1. Fetch Issue Details:
    • Use the get_issue tool to fetch the details of the target issue (referred to as $ISSUE_NUMBER).
  2. Verify Implementation State:
    • Use search_issues with a query like repo:your-org/your-repo is:pr $ISSUE_NUMBER to find associated Pull Requests.
    • Verify that at least one linked Pull Request has been merged.
    • If no merged PR is found, notify the user that the issue might not be deployed yet and ask if you should proceed.
  3. Extract the Test Case:
    • Identify the "Browser Click Path" or "Acceptance Criteria" from the issue description.
    • If no click path is explicitly defined, infer one based on the implemented features.
  4. Environment Detection:
    • If the resolving PR is merged, verify on the development environment: https://dev.your-domain.com.
    • If the PR is NOT merged, run the test on the local development server: http://localhost:6767.

Phase 2: Test Plan Preparation

  1. Translate Paths:
    • All relative paths and localhost URLs must be translated to the correct environment base: https://dev.your-domain.com/ or http://localhost:6767/.
    • Crucial: Ensure you explicitly use the /de/ locale (or the required locale) in the URL to maintain environment parity (e.g., https://dev.your-domain.com/de/dashboard).
    • Redirect Strategy: Instead of manual click-through, you can append the ?to= parameter on the login page to navigate directly to the target page after authentication (e.g., https://dev.your-domain.com/de/login?to=provider/item-1/settings). Make sure the to parameter does NOT include the locale prefix.
  2. Retrieve Test Credentials:
    • Read the centralized verification file at docs/test/smoke-test.md to locate the correct test account for your scenario.
    • The default Chrome DevTools credential is [email protected] with the common password documented in that file.

Read the full file on GitHub · 125 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. 2d ago First seen · 125 lines · 19 tokens per session scan A e148ecc060e5

Subscribe to this mod's changes

github-issue-test is a skill published in the GitHub repository P2ERGmbH/agentic-coding (9 stars, last pushed 2mo ago), licensed MIT. It adds 19 tokens to every session and 1,984 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 2026-08-31.

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