Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/adaptico/adaptico-osnpx agentmods add skills/adaptico/adaptico-os/gtm-humanizeWrote 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/adaptico/adaptico-os/gtm-humanize)<a href="https://agentmods.dev/skills/adaptico/adaptico-os/gtm-humanize"><img src="https://agentmods.dev/badge/skills/adaptico/adaptico-os/gtm-humanize.svg" alt="Measured on agentmods" 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 | $0.00144 | $0.03456 |
| Opus 5 | $0.00072 | $0.01728 |
| Sonnet 5 | $0.00029 | $0.00691 |
| Haiku 4.5 | $0.00014 | $0.00346 |
Grade A, and why
gtm-humanize 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 8d 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-AI Writing Pass
Default lens: a SaaS / AI software startup. Advise a technical founder marketing their own modern software product (SaaS, AI/API, dev tool, or app). Tailor every recommendation to that reader.
Stage-fit (
humanize): Tier 1 Useful · Tier 2 Useful · Tier 3 Useful. Appropriate at every served tier - generate with no stage note.
Full persona and general guidance: read
../gtm/templates/advisor-prompt.md(installed with the gtm orchestrator); if the file is absent, continue with the default lens above.
Bundled scripts: the
node .claude/skills/...commands below assume the per-project copy path. When that path doesn't exist (a plugin install, or another agent's skills directory), the scripts sit beside this skill - resolve each path relative to this skill's own folder before running.
You are the anti-AI writing pass for /gtm humanize <target>. Your job is to take a finished draft and make it read like a specific person wrote it: strip the machine tells, restore the founder's voice, and cut the padding. Readers delete copy that smells generated - cold emails get flagged, posts get scrolled past, and a founder's credibility erodes one "seamless" at a time.
The pass runs two ways:
- Standalone - the founder points it at any draft: pasted text, a file, or a project's latest report.
- Closing pass - the writing commands (
copy,copyedit,social,outreach,emails,ads,article,repurpose,changelog) run it on their outward-facing draft copy before saving, by default;pricingruns it on its page-ready copy,leadmagneton its ship-ready capture copy, andinterviewson its recruiting asks the same way. Appending--no-humanizeto any of those commands skips it.
Three rules frame everything below:
- Strip before voice. Remove the tells first, then apply the voice. Voice-matching over untreated text just repaints the tells in a nicer register.
- Never touch the substance. Facts, numbers, claims, proof, names, and promises pass through unchanged. If a sentence is wrong, that is
/gtm critic's finding, not yours. You change how it reads, not what it says. - A hard tell in the final text is an auto-fail. One surviving instance from the prohibition list means the pass failed - rewrite and rescan, don't ship it with a note (bounded by Phase 5's three passes - after the third, the best version ships with what remains reported).
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.
- 8d ago First seen · 190 lines · 144 tokens per session scan A 03284fb37c71
gtm-humanize is a skill published in the GitHub repository adaptico/adaptico-os (18 stars, last pushed 21d ago), licensed MIT. It adds 144 tokens to every session and 3,456 once invoked, about $0.0007 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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