gtm-qualify-prospects

gtm-qualify-prospects is a skill for Claude Code, Codex from eliasstravik/gtm-skills. It costs 133 tokens per session (837 once invoked), scanned A, original, MIT.

A lead-qualification skill that checks supplied people against saved customer personas or companies against saved ideal-customer profiles (ICPs). It returns a separate fit verdict for each person or company.

In plain words
What is it for?
Use it to score or fit-check contacts, people, accounts, or companies against the matching profiles in a connected go-to-market workspace.
Why use it?
It removes the need to assess every lead manually and prevents mixing information about a person with information about their employer.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to score or fit-check contacts, people, accounts, or companies against the matching profiles in a connected go-to-market workspace.

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

Made for: Claude Code, Codex.

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 gtm-qualify-prospects

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/eliasstravik/gtm-skills/gtm-qualify-prospects"><img src="https://agentmods.dev/badge/skills/eliasstravik/gtm-skills/gtm-qualify-prospects.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 837 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 $0.00133 $0.00837
Opus 5.5 $0.00053 $0.00335
Sonnet 5.5 $0.00027 $0.00167
Haiku 4.5 $0.00013 $0.00084

Measured 22d ago against content hash 310f9ff80fea, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gtm-qualify-prospects 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 22d 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/gtm-qualify-prospects/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GTM Qualify Prospects

Trigger

Apply this skill when a request asks how well supplied people or companies fit the workspace's personas or ICPs.

Scope

Fit checks only: people against personas, companies against ICPs, never blended in one score; nothing is written to the workspace or anywhere else.

Inputs

The people or companies as given; the workspace's personas/*/PERSONA.md and icps/*/ICP.md; free public pages such as a company's own site; paid data tools the host exposes, only after the gate in step 3.

Roles

The user supplies the entities and approves any paid lookup; the agent scores.

Procedure

The first gtm skill used in a conversation checks once for a newer release, as updates says. Talk by the six rules in interaction; reproduce the dialogues.

  1. Sort the entities into people and companies; pick the persona or ICP to score against, asking with options when several fit and the request names none.
  2. Gather evidence from the request and free public pages.
  3. When a paid tool would fill missing criteria, ask once: what it fills, how many calls, and the provider's published price, as options with the lookup first and "score with what I have" second.
  4. For each entity, write the reasoning first, commit to a band, then choose the score inside it: Excellent 85–100, Good 70–84, Fair 50–69, Not a fit 0–49. A matched disqualifier is Not a fit at 0. Missing evidence lowers confidence (High, Medium, Low), never the band.
  5. One entity: labelled lines Verdict, Score, Confidence, Scored against, Reasoning. Several: one table per mode (Person or Company, Verdict, Score, Confidence), then one reasoning line per entity, then the footer Fit only; recurring scoring belongs in a gtm-workflow.

Outputs

The verdicts in the reply; no files.

Exceptions

Requires the gtm-workspace skill installed alongside this one; when ../gtm-workspace/SKILL.md is missing, say: install it the same way this skill was installed, with npx skills add eliasstravik/gtm-skills -s gtm-workspace -y (add -g when this skill lives in the global skills directory), then retry. Asked to save results: say fit checks save nothing and offer a workflow. No persona or ICP exists for a mode: say so and offer to create one.

Read the full file on GitHub · 53 lines

Files

What ships with it

1 file 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. 22d ago Changed 310f9ff80fea
  2. 23d ago Changed 9842599413c5
  3. 1mo ago Changed 6819951a3940
  4. 1mo ago Changed 44ee754c70a5
  5. 1mo ago Changed a55763633d8b
  6. 1mo ago Changed · +2 lines 650bf3cf7053
  7. 1mo ago Changed · -33 lines · +34 tokens per session 5ce7bc7f1064
  8. 1mo ago Changed 919840d1bcba
  9. 1mo ago Changed 77eec338a91d
  10. 1mo ago First seen · 84 lines · 99 tokens per session scan A 5b0145ad748a

Subscribe to this mod's changes

gtm-qualify-prospects is a skill published in the GitHub repository eliasstravik/gtm-skills (24 stars, last pushed 22d ago), licensed MIT. It adds 133 tokens to every session and 837 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-04.

Related

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