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.
npx skills add fiber-ai/fiber-ai-plugin --skill enrich-linkedin-csvgit clone --depth 1 https://github.com/fiber-ai/fiber-ai-pluginWrote 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.
[](https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/enrich-linkedin-csv)<a href="https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/enrich-linkedin-csv"><img src="https://agentmods.dev/badge/skills/fiber-ai/fiber-ai-plugin/enrich-linkedin-csv/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.
<a href="https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/enrich-linkedin-csv"><img src="https://agentmods.dev/badge/skills/fiber-ai/fiber-ai-plugin/enrich-linkedin-csv.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00091 | $0.01932 |
| Opus 5 | $0.00046 | $0.00966 |
| Sonnet 5 | $0.00018 | $0.00386 |
| Haiku 4.5 | $0.00009 | $0.00193 |
Grade A, and why
enrich-linkedin-csv 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.
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.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fiber AI: Enrich a List of LinkedIn URLs
Take a list of LinkedIn URLs and return work emails, personal emails, and phone numbers. Route by list size so cost and latency stay predictable.
When to use
- User pastes or attaches 2+ LinkedIn URLs and asks for emails or phones
- User has a CSV of profiles and wants it decorated
- User says "bulk reveal", "enrich these profiles", "get contact info for this list"
- User needs contact details for a discrete set of known people (not a search query)
Do not use when
- User has just one profile to enrich - use
/fiber:enrich - User is still figuring out who to target - use
/fiber:searchor/fiber:find-and-enrich-by-role - User needs an exportable list with company data too - use
/fiber:audienceor/fiber:build-recruiting-audience - User wants to generate enrichment code - use
/fiber:sdk-tsor/fiber:sdk-py
Happy path
Route strictly by list size. Never upgrade the user to turbo by default.
- 1-5 URLs - loop
syncQuickContactRevealone at a time. If the user explicitly asks for the fastest possible return and accepts higher cost, usesyncTurboContactEnrichmentinstead. - 10-2,000 URLs - call
startBatchContactDetailsonce with the full list, then pollpollBatchContactDetailsno more often than every 5 seconds. Surface partial results between polls so the user sees progress. - 2,000+ URLs, or needs persistent storage / CSV export - hand off to
/fiber:build-recruiting-audienceor/fiber:audience. Those flows handle export, dedup, and long-term list management. - Misses (any size) - for rows that returned no contact, fall back to
triggerExhaustiveContactEnrichmentand pollpollExhaustiveContactEnrichmentResultevery 5-15 seconds. Only do this after confirming extra cost with the user.
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.
- 10d ago First seen · 114 lines · 91 tokens per session scan A dd883eb2dd33
enrich-linkedin-csv is a skill published in the GitHub repository fiber-ai/fiber-ai-plugin (2 stars, last pushed 2mo ago), licensed MIT. It adds 91 tokens to every session and 1,932 once invoked, about $0.0005 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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