expert-finder-brief

expert-finder-brief is a skill for Claude Code from ur-grue/autopunk-media-skills. It costs 34 tokens per session (3,541 once invoked), scanned A, original, MIT.

A reporting guide that identifies the kinds of experts a story needs, where to find them, and how to contact them credibly.

In plain words
What is it for?
Use it to map expert sources for an investigation, technical story, or unfamiliar subject.
Why use it?
It helps when you know the topic but not which professional fields or sources can explain it. It replaces ad hoc name searching with a structured source-finding plan.

Skill for Claude Code

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

Part of the autopunk-media-skills plugin — 187 skills shipped together

Good fit Use it to map expert sources for an investigation, technical story, or unfamiliar subject.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ur-grue/autopunk-media-skills/expert-finder-brief
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 ur-grue/autopunk-media-skills --skill expert-finder-brief
Clone the repo
git clone --depth 1 https://github.com/ur-grue/autopunk-media-skills

Made for: Claude Code.

Or install autopunk-media-skills, the plugin that ships this one along with the rest of its 187 skills.

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 expert-finder-brief

README.md
[![agentmods](https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/expert-finder-brief/github.svg)](https://agentmods.dev/skills/ur-grue/autopunk-media-skills/expert-finder-brief)
Your own site
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/expert-finder-brief"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/expert-finder-brief/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 expert-finder-brief

Your own site · 80×15
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/expert-finder-brief"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/expert-finder-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,541 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 $0.00034 $0.03541
Opus 5 $0.00017 $0.01770
Sonnet 5 $0.00007 $0.00708
Haiku 4.5 $0.00003 $0.00354

Measured 8d ago against content hash 234a52417b74, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

expert-finder-brief 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 8d 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.

skills/magazine-journalism/investigation/expert-finder-brief/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Expert Finder Brief

What This Skill Does

Generates a structured brief identifying the types of experts needed for a story, where to find them, and how to approach them credibly.

When To Use This Skill

  • You are starting an investigation and need to map out what kinds of expert sources will make the story credible
  • You have a story concept but don't know which professional disciplines are most relevant
  • You want a systematic approach to sourcing rather than searching for names ad hoc
  • You are covering a technical subject outside your beat and need a roadmap into an unfamiliar expert community

What You Need To Provide

Required: A brief description of the story or investigation topic; the type of publication and approximate audience Optional: Any experts already identified; specific angles or sub-questions the story needs to answer; geographic constraints (local vs. national vs. international sources); deadline pressure (affects how quickly sources must be found)

How the Assistant Approaches This

  1. Breaks the story's core questions into distinct knowledge domains — each domain points to a different category of expert
  2. For each knowledge domain, identifies the most credible expert types (by professional role, institutional affiliation, or credential) and flags which are more likely to be neutral versus advocacy-oriented
  3. Suggests specific finding strategies for each expert type: professional associations, academic departments, regulatory agency alumni networks, conference programs, court records, and public databases
  4. Provides a brief approach note for each expert type — how to frame the initial contact to maximize response rate
  5. Closes with a "Next Step" note: which domain to contact first (typically the one that will build credibility for subsequent outreach), and whether research-brief-creator should be run to expand the full reporting plan beyond expert sourcing

Output Format

Structured brief, 600–900 words. Sections: Story Questions Requiring Expert Input (bulleted), Expert Types by Domain (2–4 domains, each with expert roles + finding strategy + Platform-Specific Sourcing Tactics + approach note). Closes with a short Sourcing Risks section flagging common pitfalls for this story type. Practical, direct tone. Output ends with a "Next Step" note: which domain to contact first, the most important approach note to act on immediately, and whether research-brief-creator should be run to build the wider reporting plan.

Read the full file on GitHub · 179 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. 8d ago First seen · 179 lines · 34 tokens per session scan A 234a52417b74

Subscribe to this mod's changes

expert-finder-brief is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 34 tokens to every session and 3,541 once invoked, about $0.0002 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 2026-09-04.

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