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search

search is a skill for Claude Code from fiber-ai/fiber-ai-plugin. It costs 37 tokens per session (1,566 once invoked), scanned A, original, MIT.

A Fiber AI search skill for finding companies or people by criteria such as location, industry, company size, technology, job title, or seniority.

In plain words
What is it for?
It is for company discovery, people searches, and prospecting based on defined filters.
Why use it?
It avoids manually searching through many companies or professional profiles when looking for matching prospects.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the fiber plugin — 16 skills, 4 commands, 3 MCP servers shipped together

not rated 2repo 18d ago A scan 37 tokens original MIT

Good fit It is for company discovery, people searches, and prospecting based on defined filters.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fiber-ai/fiber-ai-plugin/search
View source ↗ fiber-ai/fiber-ai-plugin
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 fiber-ai/fiber-ai-plugin --skill search
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, 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.

agentmods badge for search

README.md
[![agentmods](https://agentmods.dev/badge/skills/fiber-ai/fiber-ai-plugin/search/github.svg)](https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/search)
Your own site
<a href="https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/search"><img src="https://agentmods.dev/badge/skills/fiber-ai/fiber-ai-plugin/search/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 search

Your own site · 80×15
<a href="https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/search"><img src="https://agentmods.dev/badge/skills/fiber-ai/fiber-ai-plugin/search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,566 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 $0.00037 $0.01566
Opus 5.5 $0.00015 $0.00626
Sonnet 5.5 $0.00007 $0.00313
Haiku 4.5 $0.00004 $0.00157

Measured 2mo ago against content hash dfb7052b8dbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

search 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.

skills/search/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search for companies or people matching criteria using Fiber AI MCP tools.

When to Use

  • User wants to find companies (by location, industry, employee count, tech stack, etc.)
  • User wants to find people or prospects (by title, company, seniority, etc.)
  • User says "search", "find companies", "find people", "look up", "prospect"

Do Not Use When

  • User wants to enrich or reveal contact info for a known person — use /fiber:enrich instead
  • User wants to do bulk operations on a list — use /fiber:audience instead
  • User wants to write code that calls the API — use /fiber:sdk-ts or /fiber:sdk-py instead

How to Execute

Using V2 MCP (if connected to fiber-ai-v2)

The V2 MCP has direct tools for search. Tool names follow the pattern {operationId}_tool:

  • Company search: companySearch_tool
  • People search: peopleSearch_tool

Using Core MCP (if connected to fiber-ai-core)

  1. Call get_endpoint_details_full("companySearch") or get_endpoint_details_full("peopleSearch") to get the exact parameter schema
  2. Call call_operation("companySearch", {"body": {...}}) or call_operation("peopleSearch", {"body": {...}}) with the correct parameters

Parameter & Schema Discovery

Fiber's search filter schemas are large and evolve across versions. Never hardcode or guess field names. Discover the current schema at runtime using one of these methods (in preference order):

  1. Installed SDK packages (best when writing code):
    • TypeScript: @fiberai/sdk exports typed request/response models. Check node_modules/@fiberai/sdk types or use IDE autocomplete. Install: npm install @fiberai/sdk.
    • Python: fiberai ships typed model classes (e.g. fiberai.models.CompanySearchBody). Inspect with help() or IDE. Install: pip install fiberai.
  2. MCP runtime discovery (best for chat/MCP flows):
    • Call get_endpoint_details_full("companySearch") or get_endpoint_details_full("peopleSearch") on the Core MCP to get the exact current schema with all filter fields.
  3. Online docs (fallback):
    • Per-operation: https://api.fiber.ai/ai-docs/companySearch.md / https://api.fiber.ai/ai-docs/peopleSearch.md
    • Routing index: https://api.fiber.ai/llms.txt
    • Interactive: https://api.fiber.ai/docs/
    • Open-source examples: https://github.com/fiber-ai/open-fiber

Read the full file on GitHub · 115 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 · 115 lines · 37 tokens per session scan A dfb7052b8dbc

Subscribe to this mod's changes

search is a skill published in the GitHub repository fiber-ai/fiber-ai-plugin (2 stars, last pushed 18d ago), licensed MIT. It adds 37 tokens to every session and 1,566 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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