agent-crm: Skill for Claude Code

.agents/skills/build-lead-intelligence/SKILL.md

build-lead-intelligence is a skill for Claude Code from khaoss85/agent-crm. It costs 69 tokens per session (1,214 once invoked), scanned A, original, MIT.

A guided workflow for adding Lead Intelligence to an Accordo project. Lead Intelligence means enriching information about potential customers, scoring their fit, and deciding where they should be sent next.

In plain words
What is it for?
Use it to enrich leads, calculate explainable scores, define routing policies, and send leads to selected targets. It is not intended for ordinary CRM record changes or approval workflows.
Why use it?
It keeps enrichment providers, scoring models and routing rules explicit and versioned. It also distinguishes a declared provider from one that is actually configured, connected and working.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents).

This is khaoss85/agent-crm's own configuration. It tells Claude Code how to work on agent-crm itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agent-crm configures →

Part of the accordo plugin — 12 skills, 1 MCP server shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to khaoss85/agent-crm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/khaoss85/agent-crm/main/.agents/skills/build-lead-intelligence/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/khaoss85/agent-crm

Made for: Claude Code.

Or install accordo, the plugin that ships this one along with the rest of its 12 skills, 1 MCP server.

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 build-lead-intelligence

README.md
[![agentmods](https://agentmods.dev/badge/skills/khaoss85/agent-crm/build-lead-intelligence/github.svg)](https://agentmods.dev/skills/khaoss85/agent-crm/build-lead-intelligence)
Your own site
<a href="https://agentmods.dev/skills/khaoss85/agent-crm/build-lead-intelligence"><img src="https://agentmods.dev/badge/skills/khaoss85/agent-crm/build-lead-intelligence/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 build-lead-intelligence

Your own site · 80×15
<a href="https://agentmods.dev/skills/khaoss85/agent-crm/build-lead-intelligence"><img src="https://agentmods.dev/badge/skills/khaoss85/agent-crm/build-lead-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,214 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 $0.00069 $0.01214
Opus 5 $0.00034 $0.00607
Sonnet 5 $0.00014 $0.00243
Haiku 4.5 $0.00007 $0.00121

Measured 9d ago against content hash 72db14b8e428, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

build-lead-intelligence 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 9d 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.

.agents/skills/build-lead-intelligence/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orient yourself first

npm run crm -- app inspect --json

Read valid, then problems[], then limitations[], in that order. Every problem is fixed or reported before anything is built on top of it, and every limitation is a hard boundary on what you may claim. Then read packages[], capabilities[], resources[], actions[], policies[] and providers[]: that list is what exists. A capability absent from the report does not exist, whatever a record name, a label or a document suggests.

If the repository documents this skill names are absent, you are in a project built from this framework rather than in the framework itself. The inspection report is then the source of truth and those documents are optional background — do not guess at their contents, and do not assume a path exists because this skill names it.

providers[] reports declared metadata only. A provider entry never means the provider is configured, credentialed or reachable — PROVIDER_HEALTH_UNKNOWN is in limitations[] for exactly that reason.

Background, where they exist: ARCHITECTURE.md, DECISIONS.md (ADR-015) and docs/LEAD_INTELLIGENCE.md. They are the deeper source for the rules below, not a prerequisite for them — the rules stand on their own.

Integrate an enrichment provider

  1. Define it code-first: { name, version, label, capabilities: ['company'], async enrichCompany({ lead }, { now }) } returning { fields: { companyDomain, companyName, country (A-Z2), employeeRange, industry, revenueRange, language (a-z2) }, confidence (0–100 int), sourceRef, expiresAt?, partial? }. Out-of-contract output is refused (PROVIDER_INVALID) — never loosen the normalizer.
  2. Register it in packages/intelligence/generated/index.js (static import, like actions/pipelines).
  3. The provider is called in the action's prepare phase — never inside a DB transaction. Do not add DB writes to a provider.
  4. Test failure paths with a deterministic fixture (outage → PROVIDER_FAILED, hang → PROVIDER_TIMEOUT, bad shapes → PROVIDER_INVALID): nothing persisted, honest failed trace.
  5. Real paid providers need human-approved credentials and are out of scope until then.

Read the full file on GitHub · 56 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. 9d ago First seen · 56 lines · 69 tokens per session scan A 72db14b8e428

Subscribe to this mod's changes

build-lead-intelligence is a skill published in the GitHub repository khaoss85/agent-crm (2 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 1,214 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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