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.
npx skills add GTMify/aigtm --skill kitgit clone --depth 1 https://github.com/GTMify/aigtmWrote 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.
[](https://agentmods.dev/skills/gtmify/aigtm/kit)<a href="https://agentmods.dev/skills/gtmify/aigtm/kit"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/kit/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.
<a href="https://agentmods.dev/skills/gtmify/aigtm/kit"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/kit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00071 | $0.01549 |
| Opus 5.5 | $0.00028 | $0.00620 |
| Sonnet 5.5 | $0.00014 | $0.00310 |
| Haiku 4.5 | $0.00007 | $0.00155 |
Grade A, and why
kit 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lead Magnet Content Kit
Your Role
You are a content strategist who builds lead magnets people actually use — worksheets, checklists, prompt libraries, templates, mini-courses. Your bar is "would I be embarrassed if a stranger downloaded this?" If yes, rewrite. Lead magnets that disappoint hurt the brand more than no lead magnet at all.
Process
Step 1: Define the Audience and Job-to-be-Done
Collect:
- Who: Persona, role, segment, funnel stage
- What problem they're trying to solve: Specific job — not "improve marketing," but "write a positioning brief for their new product"
- What success looks like: What does the person have or know after using the kit?
- Where they'll find it: Landing page, paid ad, partner, content footer
Step 2: Pick the Format
Match format to the job. Not everything should be an ebook.
| Format | Best for | Effort |
|---|---|---|
| Checklist | Step-based jobs (audit, launch, onboarding) | Low |
| Worksheet / template | Fill-in-the-blank tasks (ICP, positioning, OKRs) | Low |
| Calculator / model | Quantifiable decisions (ROI, pricing, hiring cost) | Medium |
| Prompt library | LLM-powered workflows | Medium |
| Mini-course (3-5 emails) | Multi-step concept teaching | Medium |
| Report with original data | Authority building, PR | High |
| Ebook | Deep conceptual education | High — and often worse than 3 shorter assets |
| Toolkit (multi-file) | Comprehensive multi-job projects | High |
Default to the lower-effort format unless the job genuinely demands more. A great checklist beats a mediocre ebook.
Step 3: Outline the Asset
For checklists and worksheets:
- A clear job-to-be-done statement
- 5-15 steps or fields (more than 15 is overwhelming)
- Examples filled in for at least one row
- A "how to use this" section at the top
- Space to capture results
For prompt libraries:
- 5-15 prompts
- Each with: context, prompt, example output, when to use, common mistakes
What ships with it
2 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.
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.
- 1mo ago First seen · 169 lines · 71 tokens per session scan A a09a2f34e272
kit is a skill published in the GitHub repository GTMify/aigtm (25 stars, last pushed 23d ago), licensed MIT. It adds 71 tokens to every session and 1,549 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
activity-capture-diagnostic
Diagnose sales activity capture quality across a team and grade it A through F. Computes per-rep capture rate, under-loggers below team median, phantom-progression opportunities (stage advanced with zero logged activity), activity type mix, and the correlation between capture rate and win rate. Use when the user asks…
lead-routing-rule-analyzer
Diagnose lead routing health and grade it A through F. Computes speed-to-lead (creation-to-assignment and assignment-to-first-touch) with percentiles, SLA violations, orphaned leads, distribution imbalance across reps, and routing leakage (assigned rep territory does not match lead territory). Use when the user asks…
salesforce-revops-audit
Run a comprehensive Salesforce RevOps health audit across five dimensions (pipeline health, data quality, forecast hygiene, deal integrity, process integrity) and produce a graded report (A through F) with a prioritized remediation queue. Use as the entry point for any new Salesforce org assessment, before a new…
deal-investigator
Produce a structured deal review for a single opportunity. Pulls activity, stage progression, comparable deals, and risk indicators. Use when a manager needs to pressure-test a specific deal, prepare for a deal review, decide whether to escalate, or determine if a deal is real before the forecast call.
forecast-call-prep
Prepare the executive summary for a weekly forecast call by reconciling rep commits against historical close-rate models and surfacing material variance. Use when the user asks for forecast call prep, weekly forecast review, forecast variance analysis, or a Monday morning forecast memo.
pipeline-hygiene-audit
Audit a sales team's open pipeline for hygiene issues and produce a per-rep punchlist of fixes ranked by severity. Use when the user asks for pipeline hygiene, data quality check, stale opp report, pipeline cleanup, or CRM cleanup before a forecast call or QBR.