01-icp-qualify

01-icp-qualify is a skill for Claude Code from Zevenue/headless-gtm. It costs 176 tokens per session (2,271 once invoked), scanned A, original, MIT.

A qualification step that checks whether each discovered company could realistically buy a client's offering. ICP means ideal customer profile—the description of the kinds of companies a business wants to sell to.

In plain words
What is it for?
Use it to study a client, define its customer criteria, and judge discovered companies before enriching them.
Why use it?
It prevents time and paid data-enrichment credits being spent on poor-fit prospects that only match basic labels.

Skill for Claude Code

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

Part of the headless-gtm plugin — 17 skills shipped together

Good fit Use it to study a client, define its customer criteria, and judge discovered companies before enriching them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zevenue/headless-gtm/01-icp-qualify
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 Zevenue/headless-gtm --skill 01-icp-qualify
Clone the repo
git clone --depth 1 https://github.com/Zevenue/headless-gtm

Made for: Claude Code.

Or install headless-gtm, the plugin that ships this one along with the rest of its 17 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 01-icp-qualify

README.md
[![agentmods](https://agentmods.dev/badge/skills/zevenue/headless-gtm/01-icp-qualify/github.svg)](https://agentmods.dev/skills/zevenue/headless-gtm/01-icp-qualify)
Your own site
<a href="https://agentmods.dev/skills/zevenue/headless-gtm/01-icp-qualify"><img src="https://agentmods.dev/badge/skills/zevenue/headless-gtm/01-icp-qualify/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 01-icp-qualify

Your own site · 80×15
<a href="https://agentmods.dev/skills/zevenue/headless-gtm/01-icp-qualify"><img src="https://agentmods.dev/badge/skills/zevenue/headless-gtm/01-icp-qualify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 176 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,271 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 189
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 $0.00176 $0.02271
Opus 5 $0.00088 $0.01136
Sonnet 5 $0.00035 $0.00454
Haiku 4.5 $0.00018 $0.00227

Measured 11d ago against content hash 5c6149de137a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

01-icp-qualify 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 11d 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/01-icp-qualify/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ICP Qualify - the gate

Discovery filters match labels (industry codes, size bands, locations as a database recorded them). This skill judges fit: would this specific company plausibly buy from this specific client? The two questions diverge constantly - acquisitions, competitors, stale headcounts, and shell listings all pass label filters and then waste enrichment spend downstream. The gate exists so every credit spent after discovery goes to a company that could actually buy.

The skill is general-purpose by construction: nothing client-specific is hardcoded. It first understands the client, then compiles a client-specific qualification brief, gets it approved, and only then judges prospects.

Phase 1 - understand the client

Detect the operating mode; never ask for what is already available.

  • Package mode - running inside the chain: inherit the client profile (what they sell, ICP bounds, exclusions) from the chain's client-profile artifact or the router's plan. Ask nothing.
  • Standalone mode - invoked directly: the user names the client company and provides whatever they have - ICP description, firmographic bounds, competitor names, exclusion list. Proceed with whatever exists. Missing information never blocks a run.

Research fallback (bounded). If the client's business or ICP is still unclear, read the client's own website - homepage, about, product pages, at most ~5 pages - and draft the missing understanding. Cache everything learned into the client profile so research runs once per client, not once per run.

Phase 2 - compile the qualification brief

From the client understanding, write the criteria that will judge every prospect. The brief has two mandatory checks, one universal check, and client-specific dynamic checks:

  1. Business nature (primary). What does the prospect actually do, judged from its description - and does that match who the client sells to? This is also where competitors are caught: a prospect in the client's own product category is never a lead.
  2. Firmographics. Headcount band, geography, industry bounds from the ICP. Cheap, rule-based - and applied with the wide-tolerance rule below, because discovery data is often stale.
  3. Independence and liveness (universal). Is this still an operating, independent business? Acquired, merged, dormant, or shell companies are not buyers regardless of fit. This check is client-independent and always on.
  4. Dynamic checks (client-specific). Derive 1–3 checks from this client's reality that the generic checks can't know - e.g. for a QA-automation client: "does the prospect ship software?"; for a payroll client: "does the prospect have employees in the covered countries?". These are generated fresh per client, from the profile and research.

Read the full file on GitHub · 192 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 192 lines · 176 tokens per session scan A 5c6149de137a

Subscribe to this mod's changes

01-icp-qualify is a skill published in the GitHub repository Zevenue/headless-gtm (27 stars, last pushed 1mo ago), licensed MIT. It adds 176 tokens to every session and 2,271 once invoked, about $0.0009 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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