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 enrichgit 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)<a href="https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/enrich"><img src="https://agentmods.dev/badge/skills/fiber-ai/fiber-ai-plugin/enrich.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.01653 |
| Opus 5 | $0.00020 | $0.00826 |
| Sonnet 5 | $0.00008 | $0.00331 |
| Haiku 4.5 | $0.00004 | $0.00165 |
Grade A, and why
enrich 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 7d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fiber AI Enrich
Reveal work emails, phone numbers, and detailed profiles for companies and individuals.
When to Use
- User wants work emails or phone numbers for a specific person
- User provides a LinkedIn URL and wants contact details
- User wants to enrich a company profile (full details, tech stack, funding, etc.)
- User says "enrich", "reveal", "get email", "get phone", "find contact info", "look up contact"
Do Not Use When
- User wants to search for companies or people they haven't identified yet — use
/fiber:searchinstead - User wants to enrich more than 5 contacts at once — use
/fiber:audienceinstead - User wants to write code for enrichment — use
/fiber:sdk-tsor/fiber:sdk-pyinstead
How to Execute
Individual Contact Enrichment — routing policy
Fiber exposes three tiers for single-profile contact reveal. Pick by latency vs cost. All tiers work on standard self-serve API keys — no enterprise gate or demo call required. Every response includes chargeInfo with the exact credits charged so agents can track cost programmatically.
- Standard (default):
syncQuickContactReveal—POST /v1/contact-details/single. Balanced speed and cost. Start here. - Premium (fastest, most expensive):
syncTurboContactEnrichment—POST /v1/contact-details/turbo/sync. Use when absolute latency matters. - Async waterfall (highest coverage):
triggerExhaustiveContactEnrichment—POST /v1/contact-details/exhaustive/start. Returns ataskId; poll withpollExhaustiveContactEnrichmentResult(GET /v1/contact-details/exhaustive/poll). Use as a fallback when both sync tiers return nothing.
Via Core MCP:
- Call
get_endpoint_details_full("syncQuickContactReveal")to get the exact parameter schema. - Call
call_operation("syncQuickContactReveal", {"body": {"apiKey": "...", "linkedinUrl": "...", "enrichmentType": {...}}}).
Via V2 MCP (if available as a generated tool):
- Look for
syncQuickContactReveal_tool— it may be available depending on the server's tool generation priority.
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.
- 7d ago First seen · 102 lines · 40 tokens per session scan A aeb6261d78c2
enrich is a skill published in the GitHub repository fiber-ai/fiber-ai-plugin (2 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 1,653 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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