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enrich-github-handles

enrich-github-handles is a skill for Claude Code from fiber-ai/fiber-ai-plugin. It costs 87 tokens per session (1,921 once invoked), scanned A, original, MIT.

A developer-sourcing skill that starts with GitHub handles or profile URLs, finds matching LinkedIn profiles, and can add email, phone, or live profile details through Fiber AI.

In plain words
What is it for?
Use it to enrich open-source contributors, developer candidates, or a list of GitHub users, with asynchronous operations that require checking task status.
Why use it?
It connects public GitHub identities with professional profiles and contact data, reducing manual research when sourcing engineers.

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 87 tokens original MIT

Good fit Use it to enrich open-source contributors, developer candidates, or a list of GitHub users, with asynchronous operations that require checking task status.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fiber-ai/fiber-ai-plugin/enrich-github-handles
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 enrich-github-handles
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 enrich-github-handles

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/enrich-github-handles"><img src="https://agentmods.dev/badge/skills/fiber-ai/fiber-ai-plugin/enrich-github-handles.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,921 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 $0.00087 $0.01921
Opus 5.5 $0.00035 $0.00768
Sonnet 5.5 $0.00017 $0.00384
Haiku 4.5 $0.00009 $0.00192

Measured 2mo ago against content hash 34599be20f4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

enrich-github-handles 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/enrich-github-handles/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fiber AI: Enrich GitHub Handles

Developer-sourcing skill. Start from GitHub handles or profile URLs, resolve to LinkedIn, then optionally layer on email / phone / live profile enrichment. All GitHub resolution is async.

When to use

  • User pastes a list of GitHub handles and wants LinkedIn URLs
  • User is sourcing developers from OSS contributor lists, top-repos, or a CSV export
  • User says "find LinkedIn for these GitHub users", "dev candidate enrichment", "OSS contributors to LinkedIn"
  • User wants contact details for a list of engineers identified via GitHub

Do not use when

  • User starts from LinkedIn URLs - use /fiber:enrich-linkedin-csv
  • User wants to find engineers by role description (not GitHub) - use /fiber:find-and-enrich-by-role
  • User wants an exportable audience of thousands of engineers - use /fiber:build-recruiting-audience
  • User wants to write a pipeline - use /fiber:sdk-ts or /fiber:sdk-py

Happy path

Route by what the user actually needs back. Both GitHub operations are async - expect to poll.

  1. Input is a GitHub handle / profile URL; user only wants the LinkedIn URL - call githubToLinkedInTrigger, save the returned task id, then poll githubToLinkedInPolling no more often than every 5 seconds until done. This is the cheapest path and returns just the matched LinkedIn URL.
  2. Input is a GitHub handle / profile URL; user wants full person enrichment - call githubLookupTrigger, save the returned task id, then poll githubLookupPoll no more often than every 5 seconds until done. This returns a resolved person record (LinkedIn, name, title, company, location).
  3. Once a LinkedIn URL is resolved (path 1 or 2), hand off to the relevant downstream enrichment:
  4. Unresolved handles are expected - GitHub to LinkedIn match rates are not 100%. Skip gracefully and flag misses in the output table.

Read the full file on GitHub · 93 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 · 93 lines · 87 tokens per session scan A 34599be20f4d

Subscribe to this mod's changes

enrich-github-handles is a skill published in the GitHub repository fiber-ai/fiber-ai-plugin (2 stars, last pushed 18d ago), licensed MIT. It adds 87 tokens to every session and 1,921 once invoked, about $0.0003 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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