build-from-issue

A workflow that plans and implements work described in a GitHub issue, including related tests, documentation, and pull-request creation.

In plain words
What is it for?
Use it when asked to build from, implement, or work on a GitHub issue. It requires an authenticated gh command-line tool, a Git repository, and a GitHub remote.
Why use it?
It turns an issue into an organized development task and can continue from its labels, plan comment, and discussion history.

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/nvidia/openshell/build-from-issue
Any agent
npx skills add NVIDIA/OpenShell --skill build-from-issue
Clone the repo
git clone --depth 1 https://github.com/NVIDIA/OpenShell

Made for: Claude Code, Codex.

Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,066 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 $0.00069 $0.07066
Opus 5 $0.00034 $0.03533
Sonnet 5 $0.00014 $0.01413
Haiku 4.5 $0.00007 $0.00707

Measured 2d ago against content hash 241faa6a4eb9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

build-from-issue 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/build-from-issue/SKILL.md · 759 lines

How it starts

The opening of the file, as written. The whole thing — 759 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build From Issue

Plan, iterate on feedback, and implement work described in a GitHub issue.

This skill operates as a stateful workflow — it can be run repeatedly against the same issue. Each invocation inspects the issue's labels, plan comment, and conversation history to determine the correct next action.

Prerequisites

  • The gh CLI must be authenticated (gh auth status)
  • You must be in a git repository with a GitHub remote

Invocation and Authorization

This skill supports two invocation modes:

  • Direct mode: A user explicitly asks the agent to plan or implement a specific issue. The request itself authorizes the requested phase; the corresponding agent:* request label is not required.
  • Queue mode: An always-on or unattended agent scans for work without a live user directing it to a specific issue. In this mode, agent:plan-requested authorizes planning and agent:implementation-requested authorizes implementation.

A direct request authorizes only what it says. A request to review or plan does not authorize implementation. A request to build, implement, or work on an issue authorizes both the planning needed to perform the work and implementation unless the user asks to stop after planning.

The two request labels remain human-only queue controls. Under no circumstances should this skill or any agent apply them, ask to apply them, or suggest automating their application.

In direct mode, issue lifecycle and agent:* workflow labels are advisory rather than gates. Inspect the labels and warn the user about each expected label that is missing or any lifecycle label that indicates the normal workflow is incomplete, then continue with the requested phase. Do not ask the user to fix the labels first. A direct request does not change the issue's disposition or make the labels accurate; it only authorizes the requested work.

If direct work begins on an issue that was not already in the label-driven workflow, do not introduce agent:in-progress or agent:pr-opened solely for that invocation. If a matching request label is present, preserve the existing label transitions so unattended agents can track the workflow.

Read the full file on GitHub · 759 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 · 759 lines · 69 tokens per session scan A 241faa6a4eb9

Subscribe to this mod's changes

build-from-issue is a skill published in the GitHub repository NVIDIA/OpenShell (8,421 stars, last pushed 3d ago), licensed Apache-2.0. It adds 69 tokens to every session and 7,066 once invoked, about $0.0003 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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