ai-context

ai-context is a skill for Claude Code, Codex from pilotspace/pilot-space. It costs 17 tokens per session (1,998 once invoked), scanned A, original, Apache-2.0.

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

In plain words
What is it for?
Use it to inspect issue scope, find related issues and notes, identify affected technical layers, and produce implementation guidance.
Why use it?
It turns a loosely described issue into a clearer plan that a developer or coding agent can follow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

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

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Install with agentmods
npx agentmods add skills/pilotspace/pilot-space/ai-context
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 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.

agentmods badge for ai-context

README.md
[![agentmods](https://agentmods.dev/badge/skills/pilotspace/pilot-space/ai-context/github.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/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.

agentmods 80×15 button for ai-context

Your own site · 80×15
<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="Reviewed on agentmods" width="80" 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. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00017 $0.01998
Opus 5.5 $0.00007 $0.00799
Sonnet 5.5 $0.00003 $0.00400
Haiku 4.5 $0.00002 $0.00200

Measured 2mo ago against content hash 0c111983f783, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

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

  1. 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)
  2. 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
  3. 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
  4. 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
  5. 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.

  1. 2mo 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 4mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 1,998 once invoked, about $0.0001 per session on Opus 5.5. 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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