A skill for preparing end-of-milestone test plans from a GitHub milestone issue. A milestone groups related work that should be checked before a release.

Use it to fetch one endgame issue, find the tasks assigned to a developer, and create a separate test plan for each linked task or pull request.

It divides the issue's assigned tasks among research workers and keeps each resulting test plan in the project's expected folder.

endgame — Skill for Claude Code and Codex by microsoft

About the project

GitHub Copilot for Eclipse is an Eclipse IDE plugin that adds AI-assisted code completion, edit suggestions, conversational agent support, and connections to external tools through MCP. Eclipse developers use it for coding assistance and more autonomous, project-aware development tasks. The catalogue entries provide skills and instructions for working with Copilot in Eclipse.

microsoft/copilot-for-eclipse · 129 stars · on GitHub · marketplace.eclipse.org

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 microsoft/copilot-for-eclipse --skill endgame

Clone the repo

git clone --depth 1 https://github.com/microsoft/copilot-for-eclipse

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/microsoft/copilot-for-eclipse/endgame/github.svg)](https://agentmods.dev/skills/microsoft/copilot-for-eclipse/endgame)

Your own site

<a href="https://agentmods.dev/skills/microsoft/copilot-for-eclipse/endgame"><img src="https://agentmods.dev/badge/skills/microsoft/copilot-for-eclipse/endgame/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/microsoft/copilot-for-eclipse/endgame"><img src="https://agentmods.dev/badge/skills/microsoft/copilot-for-eclipse/endgame.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,364 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.

Model	Per session	Once invoked
Fable 5.1	$0.00071	$0.01364
Opus 5.5	$0.00028	$0.00546
Sonnet 5.5	$0.00014	$0.00273
Haiku 4.5	$0.00007	$0.00136

Measured 2mo ago against content hash 25caaf1f9c3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

endgame 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 2mo 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.

.github/skills/endgame/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Endgame Verification Skill

Use this skill to run an endgame verification pass for a GitHub milestone issue. Each task in the issue is delegated to a subagent that researches the linked PR/issue and writes a test plan under com.microsoft.copilot.eclipse.swtbot.test/test-plans/.

Workflow

⚠️ CRITICAL — YOU MUST FOLLOW THESE RULES:

Do NOT run gh pr view or gh issue view for individual tasks — only run it once for the main endgame issue.
Do NOT research or analyse any task yourself.
Do NOT create any test-plan files yourself.
IMMEDIATELY call runSubagent for each task after parsing the issue — no delays, no research.

Step 1 — Ask the user for inputs

Ask for:

The GitHub endgame issue URL (e.g. https://github.com/microsoft/copilot-for-eclipse/issues/XXXX)
The user's GitHub account name

Step 2 — Fetch the endgame issue (ONE call only)

gh issue view <issue_number> --repo microsoft/copilot-for-eclipse --json body --jq '.body'

Parse the body to find all tasks (checkboxes) assigned to the specified user. Extract each task's title and any linked PR/issue URL as plain text.

STOP — do NOT fetch any of the linked PRs or issues.

Step 3 — Process each task via subagent

For each task, call runSubagent with:

description: "Endgame: <short_task_title>"
prompt: the template below, filled in with only the info you extracted.

Subagent prompt template

Task Details

Task Number: <N>
Task Title: <task_title>
Assignee: <username>
Related Issue/PR: <link_if_available> (NOT YET FETCHED — you must fetch this)

Your Mission

YOU (the subagent) must research this task AND create the test-plan file.

Step 1: Research the task

Fetch the linked PR or issue with gh pr view / gh issue view.
Understand what feature or fix needs to be verified.
If anything is ambiguous or unclear after reading the PR/issue, ask the user for clarification before proceeding. Keep asking until you have enough information to write concrete, accurate test steps.

Read the full file on GitHub · 174 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.

2mo ago First seen · 174 lines · 71 tokens per session scan A 25caaf1f9c3f

Subscribe to this mod's changes

endgame is a skill published in the GitHub repository microsoft/copilot-for-eclipse (129 stars, last pushed 3d ago), licensed MIT. It adds 71 tokens to every session and 1,364 once invoked, about $0.0003 per session on Opus 5.5. 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.

Testing

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

cua-driver

Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.

davidondrej/skills · 68 tokens

endgame