get-perspective-on

get-perspective-on is a skill for Claude Code, Codex from Abilityai/cornelius. It costs 21 tokens per session (824 once invoked), scanned A, original, MIT.

A knowledge-base search and synthesis tool for describing your personal view on a topic or question.

In plain words
What is it for?
Use it to retrieve relevant notes, find distinctive angles, compare views, and explain why your perspective matters.
Why use it?
It saves time when you want your own prior ideas gathered into a short, focused perspective instead of a full article.

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/abilityai/cornelius/get-perspective-on
Any agent
npx skills add Abilityai/cornelius --skill get-perspective-on
Clone the repo
git clone --depth 1 https://github.com/Abilityai/cornelius

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 get-perspective-on

README.md
[![agentmods](https://agentmods.dev/badge/skills/abilityai/cornelius/get-perspective-on.svg)](https://agentmods.dev/skills/abilityai/cornelius/get-perspective-on)
Your own site
<a href="https://agentmods.dev/skills/abilityai/cornelius/get-perspective-on"><img src="https://agentmods.dev/badge/skills/abilityai/cornelius/get-perspective-on.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 824 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 $0.00021 $0.00824
Opus 5 $0.00010 $0.00412
Sonnet 5 $0.00004 $0.00165
Haiku 4.5 $0.00002 $0.00082

Measured 5d ago against content hash 51e9535fa473, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

get-perspective-on 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 5d 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.

.claude/skills/get-perspective-on/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Get Perspective On

Extract the user's unique perspective on a topic from the knowledge base. Returns brief, focused insights (not full article). Can be called directly by user or via content agent in headless mode.

Usage

/get-perspective-on <topic or question>

Parameters

  • topic or question: What perspective to retrieve
    • Specific topic
    • Question format
    • Comparison
    • Application

Examples

/get-perspective-on AI agent adoption barriers
/get-perspective-on Why do companies resist AI?
/get-perspective-on How dopamine relates to social media
/get-perspective-on What's contrarian about my AI views?

Workflow

  1. Search Knowledge Base

    • Use /recall or Local Brain Search
    • Find 3-5 most relevant permanent notes
    • Look for contrarian or non-obvious angles
  2. Synthesize Perspective

    • Brief format (1-3 paragraphs)
    • Focus on unique angles
    • Cite specific permanent notes
    • Include "why this matters"
  3. Return Response

    • For direct user: Display perspective with citations
    • For a content agent headless: Return text for content use

Output Format

🧠 the user's Perspective: [Topic]

[1-3 paragraphs synthesizing unique insights from permanent notes]

Key insights:
- [Insight 1 from [[Note A]]]
- [Insight 2 from [[Note B]]]
- [Insight 3 connecting [[Note C]] and [[Note D]]]

Why this matters:
[Brief explanation of significance or application]

📝 Cited Notes:
- [[Note Title 1]]
- [[Note Title 2]]
- [[Note Title 3]]

Integration with a content agent

When a content agent calls via headless mode:

cd $PROJECT_ROOT
claude -p "/get-perspective-on 'AI adoption barriers'" --output-format json

a content agent receives:

{
  "result": "[Perspective text with citations]",
  "total_cost_usd": 0.34
}

Quality Criteria

Good perspective: ✅ Cites 3-5 specific permanent notes ✅ Highlights contrarian or non-obvious angles ✅ Connects to broader themes ✅ Includes concrete examples ✅ Authentic your voice

Read the full file on GitHub · 136 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. 5d ago First seen · 136 lines · 21 tokens per session scan A 51e9535fa473

Subscribe to this mod's changes

get-perspective-on is a skill published in the GitHub repository Abilityai/cornelius (106 stars, last pushed 12d ago), licensed MIT. It adds 21 tokens to every session and 824 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens