A Fiber AI audience workflow for building and managing saved lists of companies or contacts for bulk searching, enrichment, and export. An audience is a reusable list that moves through stages such as building, enriching, and exporting.

Use it to create prospecting lists, enrich more than five contacts in bulk, and export the resulting company or contact data.

It organizes large prospecting or data-enrichment jobs into a defined process instead of handling each record separately.

audience — Skill for Claude Code by fiber-ai: A Fiber AI audience workflow for building and managing…

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/fiber-ai/fiber-ai-plugin/audience

Any agent

npx skills add fiber-ai/fiber-ai-plugin --skill audience

Clone the repo

git clone --depth 1 https://github.com/fiber-ai/fiber-ai-plugin

Made for: Claude Code.

Or install fiber, the plugin that ships this one along with the rest of its 16 skills, 4 commands, 7 agents, 3 MCP servers.

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/fiber-ai/fiber-ai-plugin/audience.svg)](https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/audience)

Your own site

<a href="https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/audience"><img src="https://agentmods.dev/badge/skills/fiber-ai/fiber-ai-plugin/audience.svg" alt="Measured on agentmods" height="20"></a>

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,757 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 5.1	$0.00044	$0.01757
Opus 5	$0.00022	$0.00879
Sonnet 5	$0.00009	$0.00351
Haiku 4.5	$0.00004	$0.00176

Measured 6d ago against content hash c604e8c89e33, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

audience 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 6d 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/audience/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fiber AI Audience Workflow

Audiences are the core workflow for bulk operations in Fiber AI. They allow searching, enriching, and exporting lists at scale.

For the complete, up-to-date workflow guide, read the MCP resource llms://fiber.ai/docs/audience-workflow via the Core MCP.

When to Use

User wants to build a prospecting list
User wants to bulk enrich contacts (more than 5 people)
User wants to export data to CSV or download a list
User says "create audience", "build list", "bulk enrich", "export", "prospecting list"

Do Not Use When

User wants to search without saving results — use /fiber:search instead
User wants to enrich a single contact — use /fiber:enrich instead
User wants to write code for audience management — use /fiber:sdk-ts or /fiber:sdk-py instead

The Audience Lifecycle

Each step must be completed in order. Do not skip steps. Build and enrichment are async — you must poll for completion.

Create → Set Search Params → Build → Poll Build Status → Estimate Cost → Enrich → Poll Enrichment Status → Export

How to Execute

All audience operations must go through the Core MCP using call_operation. They are not available as V2 direct tools.

Before calling any operation, use get_endpoint_details_full("operationId") to get the exact parameter schema. Parameters change over time — do not guess field names.

Step 1: Create Audience

operationId: createAudience
Method: POST /v1/audiences/create
apiKey goes in the request body
Save the returned audience ID for all subsequent steps
Confirm creation with the user

Step 2: Set Search Parameters

operationId: updateAudienceSearchParams
Method: PATCH /v1/audiences/{audienceId}/search-params
apiKey goes in the request body
The body contains companySearchParams and/or prospectSearchParams — these are separate filter objects with different schemas
Call get_endpoint_details_full("updateAudienceSearchParams") to see available filter fields
Show the user what filters were applied and confirm before proceeding
Can only be set while audience status is DRAFT

Read the full file on GitHub · 148 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.

6d ago First seen · 148 lines · 44 tokens per session scan A c604e8c89e33

Subscribe to this mod's changes

audience is a skill published in the GitHub repository fiber-ai/fiber-ai-plugin (2 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 1,757 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 2026-08-31.

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