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 06-value-prop-that-convertsgit 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/06-value-prop-that-converts)<a href="https://agentmods.dev/skills/aidevgtm/gtm-cofounder/06-value-prop-that-converts"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/06-value-prop-that-converts/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/06-value-prop-that-converts"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/06-value-prop-that-converts.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 | $0.00072 | $0.01057 |
| Opus 5 | $0.00036 | $0.00528 |
| Sonnet 5 | $0.00014 | $0.00211 |
| Haiku 4.5 | $0.00007 | $0.00106 |
Grade A, and why
value-prop-that-converts 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The value prop that converts
"Better" is sloppy thinking. Better how, along what dimension, by how much, proven by whom? Developers test every claim you make. Give them numbers or give them nothing.
Use this when: your value prop contains puffery, your claims aren't attributed, or you're trying to make one sentence do the job of two audiences.
The core idea
Developers have a finely tuned BS detector and they will verify you. Specificity is credibility. Every strong dev value prop is: specific + provable + spoken in their language.
Framework: the value-prop rules (Frankl)
- Never say "better." Say better how, by how much, versus what.
- Time savings must be specific. ❌ "saves developer time" · ✅ "8× faster builds, 2 hrs → 15 min" (attributed).
- Two kinds of time, speak to both:
- Chronos (Alpha Dev): clock hours saved per week.
- Kairos (Empowered CTO): calendar time, weeks off a release cycle, competitive edge.
- The same product must land both. "Release fast or die" worked for developer and CTO.
- Every claim needs proof. A demo is the weakest proof (ideal conditions). An attributed testimonial (name + title + company + number) is the strongest. Anonymous quotes are assumed invented.
- Sell the category, not the solution. Talk about the problem and the need for "a tool like this"; don't proactively pitch features; it trips developer defenses.
- Never "pleased to announce" / "excited to share." No one cares how you feel.
Framework: the three dimensions of a dev value prop (Czakon)
A complete value prop answers all three, fast:
- What is it?: category / known-incumbent comparison / plain statement ("a Datadog alternative," "CI for monorepos").
- For whom / what use case?: the ICP and the job (from
who-is-this-for). - Why you over the 10 alternatives?: the legitimate, provable reason to exist.
Headline = what is it. Subhead = for whom / what job. For dev tools, weight the how over the why. Developers often already know why they hurt.
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 · 73 lines · 72 tokens per session scan A 381b880d7ca0
value-prop-that-converts is a skill published in the GitHub repository AIDevGTM/gtm-cofounder (276 stars, last pushed 4d ago), licensed MIT. It adds 72 tokens to every session and 1,057 once invoked, about $0.0004 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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