A B2B data-enrichment service for adding verified work contacts, LinkedIn profiles, and company details to business records. It includes a source citation and confidence level for each field and can write results back to a CRM.

Use it to search for target companies or contacts, enrich CRM records, find work emails, research accounts, and write the results back to a CRM.

It reduces the manual work of finding people and company information and makes the evidence behind each data field visible.

abm-dev — Skill by abm-dev-git

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/abm-dev-git/abm-mcp/abm-dev

Any agent

npx skills add abm-dev-git/abm-mcp --skill abm-dev

Clone the repo

git clone --depth 1 https://github.com/abm-dev-git/abm-mcp

Made for: Claude Code, Codex.

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,357 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	$0.00067	$0.02357
Opus 5	$0.00034	$0.01179
Sonnet 5	$0.00013	$0.00471
Haiku 4.5	$0.00007	$0.00236

Measured yesterday against content hash 47ab19d9eca4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

abm-dev 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 yesterday.

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.

claude-plugin/skills/abm-dev/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

abm.dev — B2B enrichment for agents

abm.dev turns an email, a name + company, or a LinkedIn URL into ~89 canonical fields per record (43 person + 46 company), each with a source citation and a confidence score, synthesised from ~10 data sources — and writes the results back to your CRM.

Connect

MCP (preferred): https://mcp.abm.dev/mcp — OAuth sign-in on first use. One-click from Claude: https://claude.ai/customize/connectors?modal=add-custom-connector&connectorName=abm.dev&connectorUrl=https%3A%2F%2Fmcp.abm.dev%2Fmcp
REST API: https://api.abm.dev with the X-API-Key header — mint a key at https://abm.dev/settings/api-keys. Same verbs: POST /v2/enrich, POST /v2/search, POST /v2/source.
CLI: npx -y @abmdev/cli@latest init --all -k <API_KEY>

The core loop (match → enrich → write back)

Match the record in the CRM: search_companies / search_contacts. Filters are EXACT-match — match on domain/email, not display names ("Saffery" will not match "Saffery LLP"). No match? create_company / create_contact.
Enrich with the CRM id threaded through: create_enrichment { type, input: { company_name, domain, crm_id } } → returns a job_id (async, commonly 3–8 min). Add refresh: true to force a from-scratch run when the record was enriched recently. Poll get_enrichment every 30–60s until completed (a processing status with 0 fields is normal — do not give up before ~10 min), then read values with get_enrichment_fields and provenance with get_enrichment_sources.
Write back: preview_writeback shows the per-field keep/use diff; then approve_enrichment (REAL CRM mutation). If the preview shows no/wrong matched record, pass crm_entity_id on approve.

Finding people (async search)

Read the full file on GitHub · 138 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.

yesterday First seen · 138 lines · 67 tokens per session scan A 47ab19d9eca4

Subscribe to this mod's changes

abm-dev is a skill published in the GitHub repository abm-dev-git/abm-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 2,357 once invoked, about $0.0003 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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