autosearch:perspective-questioning

autosearch:perspective-questioning is a skill for Claude Code from 0xmariowu/Autosearch. It costs 78 tokens per session (974 once invoked), scanned A, original, MIT.

A research-planning skill that asks several stakeholder or expert viewpoints what they would want to know before searching.

In plain words
What is it for?
Generating research questions from viewpoints such as an end user, maintainer, security researcher, regulator, investor, or academic.
Why use it?
It broadens the research scope so the search does not reflect only one perspective or miss important questions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autosearch plugin — 55 skills, 1 agent shipped together

Good fit Generating research questions from viewpoints such as an end user, maintainer, security researcher, regulator, investor, or academic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0xmariowu/autosearch/perspective-questioning
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 0xmariowu/Autosearch --skill perspective-questioning
Clone the repo
git clone --depth 1 https://github.com/0xmariowu/Autosearch

Made for: Claude Code.

Or install autosearch, the plugin that ships this one along with the rest of its 55 skills, 1 agent.

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 autosearch:perspective-questioning

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xmariowu/autosearch/perspective-questioning/github.svg)](https://agentmods.dev/skills/0xmariowu/autosearch/perspective-questioning)
Your own site
<a href="https://agentmods.dev/skills/0xmariowu/autosearch/perspective-questioning"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/perspective-questioning/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 autosearch:perspective-questioning

Your own site · 80×15
<a href="https://agentmods.dev/skills/0xmariowu/autosearch/perspective-questioning"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/perspective-questioning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 974 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.00974
Opus 5 $0.00039 $0.00487
Sonnet 5 $0.00016 $0.00195
Haiku 4.5 $0.00008 $0.00097

Measured 10d ago against content hash 08710ff245d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

autosearch:perspective-questioning 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (__init__.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

autosearch/skills/meta/perspective-questioning/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Perspective Questioning — Multi-Persona Question Generation

Before searching, enumerate 3-6 relevant personas for the research topic and ask each persona "what would you want to know?". The union of those questions becomes the research scope.

STORM originally used this for Wikipedia-style article generation. autosearch uses it to widen the coverage of a query before decomposition / channel selection.

Persona Catalog (starting points)

Runtime AI picks 3-6 from the list that match the query's domain:

  • End user — what does it feel like? what's the most common pain point?
  • Power user — edge cases, advanced features, integration patterns.
  • Maintainer — design tradeoffs, known issues, roadmap.
  • Security researcher — attack surface, CVEs, hardening.
  • Investor / business analyst — market position, funding, revenue model.
  • Regulator / compliance — licensing, data handling, disclosure.
  • Competitor — differentiation, feature comparison, pricing.
  • New user — onboarding friction, docs clarity.
  • Journalist — recent events, controversies, PR statements.
  • Academic — published research, theoretical basis, citations.

Output

perspectives:
  - persona: "security researcher"
    rationale: "Query involves a new ML framework; attack surface is non-trivial."
    questions:
      - "What authentication mechanism does X use?"
      - "Are there known CVEs or advisories for X?"
      - "Does X have a security policy and disclosure channel?"
  - persona: "end user"
    rationale: "Users are the primary audience of the final report."
    questions:
      - "What's X's learning curve?"
      - "What are the most-complained-about workflows?"
  # ... 1-4 more personas
union_questions: list[str]   # deduped merge of all persona questions

Usage Policy

  • Minimum 3 personas, maximum 6. Fewer than 3 → fall back to decompose-task. More than 6 → cost not justified for most tasks.
  • Skip personas whose rationale is weak. Don't force "Journalist" onto a pure code-architecture query just because the catalog has it.
  • Do NOT generate persona answers here — this skill only generates the question set. Channel calls + synthesis happen downstream.

Read the full file on GitHub · 94 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 10d ago First seen · 94 lines · 78 tokens per session scan A 08710ff245d7

Subscribe to this mod's changes

autosearch:perspective-questioning is a skill published in the GitHub repository 0xmariowu/Autosearch (44 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 974 once invoked, about $0.0004 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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