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 AIDevGTM/gtm-cofounder --skill 15-know-if-its-workinggit clone --depth 1 https://github.com/AIDevGTM/gtm-cofounderWrote 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/aidevgtm/gtm-cofounder/15-know-if-its-working)<a href="https://agentmods.dev/skills/aidevgtm/gtm-cofounder/15-know-if-its-working"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/15-know-if-its-working/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/aidevgtm/gtm-cofounder/15-know-if-its-working"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/15-know-if-its-working.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 | $0.00059 | $0.00981 |
| Opus 5 | $0.00030 | $0.00491 |
| Sonnet 5 | $0.00012 | $0.00196 |
| Haiku 4.5 | $0.00006 | $0.00098 |
Grade A, and why
know-if-its-working 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Know if it's working
The only early metric that matters is net developer retention. Without it, you're not running a funnel; you're running a colander.
Use this when: you're tracking GitHub stars and pageviews and still can't answer "is GTM working?", or you're pouring effort into acquisition while new users quietly churn.
The core idea
Acquisition is worthless if users don't come back. Prove retention first; only then does spending on acquisition make sense. Most early founders optimize the top of the funnel while the bottom leaks. Fix that order.
Framework: net developer retention (Frankl)
Of all the developers who first used the product in Month 1, how many used it in Month 2? Month 3?
- Hold it above 100% (meaning existing cohorts grow through internal referral/expansion).
- Below solid retention, do not focus on acquisition: you're filling a leaky bucket.
- This single cohort question tells you more than every vanity chart combined.
Framework: the DREAM metrics (Frankl)
Measure one honest number per stage, not pageviews, not stars.
| Stage | The metric that counts |
|---|---|
| Discovery | unique human visitors / month |
| Research | newsletter subs + community joins + follows |
| Evaluation | free-tier signups / downloads / active free users |
| Activation | monthly active users · frequency · session depth |
| Membership | community members actively posting & answering |
The gate before all of it, the weekend test: can a new developer get to first value over a weekend from docs + Stack Overflow, no support call? Time-to-value target: < 1 hour ideal, 1 day max. If Evaluation/Activation fails here, no channel work will save you.
Growth benchmarks (non-ARR, Frankl)
- Pre-seed: ~30% month-over-month user growth
- Post-Series-A: ~10% MoM
- First $1M ARR: within 12 months is good, 9 is excellent
Framework: attribution philosophy (Czakon)
Developer marketing is hard to attribute and that's normal. A dev sees your HN post, reads a tutorial, lurks for two months, then signs up direct.
- Don't over-trust last-touch; it will tell you "direct/organic" and hide the real work.
- Add a "how did you hear about us?" free-text field. Self-reported attribution beats a broken model.
- Judge channels on trend and directional signal, not spurious precision.
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.
- 12d ago First seen · 78 lines · 59 tokens per session scan A 6b380d51b3eb
know-if-its-working is a skill published in the GitHub repository AIDevGTM/gtm-cofounder (276 stars, last pushed 4d ago), licensed MIT. It adds 59 tokens to every session and 981 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 2026-08-30.
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