A workflow that prepares an issue for implementation by creating a summary, complexity assessment, ordered tasks, related references, and a Claude Code prompt.

Use it to inspect issue scope, find related issues and notes, identify affected technical layers, and produce implementation guidance.

It turns a loosely described issue into a clearer plan that a developer or coding agent can follow.

ai-context — Skill for Claude Code and Codex by pilotspace: A workflow that prepares an issue for implementation by…

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/pilotspace/pilot-space/ai-context

Any agent

npx skills add pilotspace/pilot-space --skill ai-context

Clone the repo

git clone --depth 1 https://github.com/pilotspace/pilot-space

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/pilotspace/pilot-space/ai-context.svg)](https://agentmods.dev/skills/pilotspace/pilot-space/ai-context)

Your own site

<a href="https://agentmods.dev/skills/pilotspace/pilot-space/ai-context"><img src="https://agentmods.dev/badge/skills/pilotspace/pilot-space/ai-context.svg" alt="Measured on agentmods" height="20"></a>

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,998 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.

Model	Per session	Once invoked
Fable 5	$0.00017	$0.01998
Opus 5	$0.00009	$0.00999
Sonnet 5	$0.00003	$0.00400
Haiku 4.5	$0.00002	$0.00200

Measured 3d ago against content hash 0c111983f783, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-context 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 3d 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.

backend/src/pilot_space/ai/templates/skills/ai-context/SKILL.md · 251 lines

How it starts

The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Context Skill

Generate comprehensive developer context for an issue: summary, complexity analysis, implementation tasks, related content, and a ready-to-use Claude Code prompt.

Quick Start

Use this skill when:

Developer opens "AI Context" tab on an issue detail page
User explicitly requests context generation (/ai-context)
System needs structured implementation guidance for an issue

Example:

Issue: "PILOT-42: Implement real-time notifications"

AI generates:
- Summary: Architecture overview + scope analysis
- Complexity: high (cross-cutting: backend + frontend + infra)
- Tasks: 6 ordered subtasks with estimates and dependencies
- Claude Code Prompt: Ready-to-use implementation guide

Workflow

Analyze the Issue
- Read the issue title, description, and metadata
- Understand scope, complexity, and technical requirements
- Identify the technical layers involved (DB, API, Frontend, Tests)
Identify Related Content
- Use search_issues to find related or similar issues in the workspace
- Use search_notes to find relevant notes and documentation
- Check for linked PRs, commits, and code references
Assess Complexity
- low: Single layer, straightforward implementation, 1-2 files
- medium: Multiple files, standard patterns, some cross-cutting
- high: Cross-layer changes, new architecture, significant testing
Generate Implementation Tasks
- Break down into ordered, actionable subtasks
- Identify dependencies between tasks (DAG structure)
- Estimate effort per task: S (~1h), M (~2-3h), L (~4-6h), XL (~8h+)
- Follow decomposition patterns:
  - Backend: DB schema → Repository → Service → API → Tests
  - Frontend: Component → State → Styling → Tests
  - Full-stack: Backend → Frontend → Integration tests
Create Claude Code Prompt
- Summarize context for AI-assisted development
- List relevant code files and references
- Include implementation instructions and constraints
- Reference existing patterns and conventions

Read the full file on GitHub · 251 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.

3d ago First seen · 251 lines · 17 tokens per session scan A 0c111983f783

Subscribe to this mod's changes

ai-context is a skill published in the GitHub repository pilotspace/pilot-space (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 1,998 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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