anysite-crm-inbound

anysite-crm-inbound is a skill for Claude Code from anysiteio/agent-skills. It costs 127 tokens per session (913 once invoked), scanned A, original, MIT.

A read-only research helper for checking one newly received sales lead. It identifies the person and company, checks whether the company appears real and suitable for the business, and suggests who should handle the lead and what to discuss.

In plain words
What is it for?
Use it when a demo request or other inbound lead arrives with an email address, name and company, LinkedIn profile link, or forwarded message. It helps verify the lead, check previous customer history, judge fit, and prepare talking points.
Why use it?
It gives a quick first assessment without changing customer records. This reduces the need to manually investigate a lead across professional profiles, company data, and the customer database.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the anysite-skills plugin — 33 skills shipped together

Good fit Use it when a demo request or other inbound lead arrives with an email address, name and company, LinkedIn profile link, or forwarded message. It helps verify the lead, check previous customer history, judge fit, and prepare talking points.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anysiteio/agent-skills/anysite-crm-inbound
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 anysiteio/agent-skills --skill anysite-crm-inbound
Clone the repo
git clone --depth 1 https://github.com/anysiteio/agent-skills

Made for: Claude Code.

Or install anysite-skills, the plugin that ships this one along with the rest of its 33 skills.

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 anysite-crm-inbound

README.md
[![agentmods](https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-crm-inbound/github.svg)](https://agentmods.dev/skills/anysiteio/agent-skills/anysite-crm-inbound)
Your own site
<a href="https://agentmods.dev/skills/anysiteio/agent-skills/anysite-crm-inbound"><img src="https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-crm-inbound/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 anysite-crm-inbound

Your own site · 80×15
<a href="https://agentmods.dev/skills/anysiteio/agent-skills/anysite-crm-inbound"><img src="https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-crm-inbound.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 913 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00127 $0.00913
Opus 5 $0.00063 $0.00456
Sonnet 5 $0.00025 $0.00183
Haiku 4.5 $0.00013 $0.00091

Measured 12d ago against content hash fa8df2c18be2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

anysite-crm-inbound 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 12d 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/anysite-crm-inbound/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CRM Inbound — one lead, one minute

Every skill in this pack is batch-shaped except the most frequent moment in GTM life: a single lead just landed and someone asks "is this real / are they our ICP / who takes the call?". This skill answers that in 2 calls (verdict) to 4–5 calls (full mini-brief). Strictly read-only.

Input

Whatever the user has: an email, a name + company, a linkedin_url, or a forwarded demo-request text. Extract identifiers yourself; don't interrogate the user.

Flow (cheap-first, stop as soon as the verdict is clear)

1. Identify the person and company

  • linkedin_urlexecute linkedin/user/user {user: <url>} → done.
  • email with a work domain → resolve the company by domain (anysite-mcp recipe: exact verify; webparser/parse fallback for common-token domains) → organizational_urnsearch_users {first_name, last_name, current_company: [{"type": "company", "value": "<id>"}]}. Note: email_sql_user reverse lookup is a cheap first try but verified to miss often — don't stop on its empty result.
  • email with a personal domain (gmail etc.) → reverse lookup try, else name+company if the form/message carries them. A lead reachable ONLY via personal email = flag it.
  • name + company → resolve company → search_users with the company filter (bare names return namesakes).

2. Company reality check (1 call, often already done in step 1)

The verified search_sql_companies row gives industry, employee_count, locations, description, crunchbase_link, organizational_urn. Funding stage matters → crunchbase/company via the free alias from crunchbase_link (skip for obviously non-venture companies).

3. CRM history (free, crm_* reads)

crm_query_records(object_type="contacts", emails=[...])       # known already?
crm_query_records(object_type="companies", search="<domain>")  # account history?

Existing record with an owner → this is a routing question, not a research question; say who owns it. Closed-lost history → the verdict must mention it.

Read the full file on GitHub · 69 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. 12d ago First seen · 69 lines · 127 tokens per session scan A fa8df2c18be2

Subscribe to this mod's changes

anysite-crm-inbound is a skill published in the GitHub repository anysiteio/agent-skills (19 stars, last pushed 27d ago), licensed MIT. It adds 127 tokens to every session and 913 once invoked, about $0.0006 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 2026-08-30.

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