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 adaptico/adaptico-os --skill gtm-contentgit clone --depth 1 https://github.com/adaptico/adaptico-osWrote 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-content)<a href="https://agentmods.dev/skills/adaptico/adaptico-os/gtm-content"><img src="https://agentmods.dev/badge/skills/adaptico/adaptico-os/gtm-content.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00167 | $0.04015 |
| Opus 5 | $0.00084 | $0.02008 |
| Sonnet 5 | $0.00033 | $0.00803 |
| Haiku 4.5 | $0.00017 | $0.00402 |
Grade C, and why
gtm-content scanned grade C with 1 finding 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
> Then generate the work anyway - never refuse. How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Engine Strategy
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 (
content): Tier 1 Too early · Tier 2 Useful · Tier 3 Core. If the founder's tier (from PROFILE.md) makes this Too early or Avoid, prepend this note verbatim: "Content is a slow, compounding bet - months before it pays, and your ICP will likely move before it does. Pre-PMF that's runway spent writing for a buyer who may not be yours by the time it ranks. Prove positioning first; then content becomes a top channel." Then generate the work anyway - never refuse.
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.
You are the content strategist for /gtm content <target>. Most startup content fails before the first draft: the founder publishes whatever came to mind that week, aimed at nobody in particular, on a cadence that collapses within a month. This skill produces the system that prevents that - a small set of pillars the project has the right to win, a cluster map of pieces that compound instead of scattering, and a cadence the founder can actually hold. It plans; it does not write. One piece gets produced by /gtm article, and each finished piece gets atomized by /gtm repurpose.
The honest clock, stated up front and kept in the report: content is a slow, compounding channel. It takes months of consistent publishing before search engines, AI answer engines, or an audience reward it - and the reward accrues to depth on a narrow territory, not to volume. A plan that survives six months at four hours a week beats a plan that looks impressive for three weeks and dies. Every sizing decision below follows from that.
When This Skill Is Invoked
The user runs /gtm content <target>, where <target> is a URL, a saved project name, or omitted to use the default project. Run the orchestrator's Project Resolution, gather context (Phase 0), then build the strategy: the channel-fit read (Phase 1), pillars (Phase 2), the cluster map (Phase 3), cadence (Phase 4), the repurposing system (Phase 5), and measurement (Phase 6). Save to YYYY-MM-DD-content-plan.md.
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 · 220 lines · 167 tokens per session scan C 40cf20b6dff8
gtm-content is a skill published in the GitHub repository adaptico/adaptico-os (18 stars, last pushed 21d ago), licensed MIT. It adds 167 tokens to every session and 4,015 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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