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-competitorsgit 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-competitors)<a href="https://agentmods.dev/skills/adaptico/adaptico-os/gtm-competitors"><img src="https://agentmods.dev/badge/skills/adaptico/adaptico-os/gtm-competitors/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/adaptico/adaptico-os/gtm-competitors"><img src="https://agentmods.dev/badge/skills/adaptico/adaptico-os/gtm-competitors.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 | $0.05946 |
| Opus 5 | $0.00036 | $0.02973 |
| Sonnet 5 | $0.00014 | $0.01189 |
| Haiku 4.5 | $0.00007 | $0.00595 |
Grade A, and why
gtm-competitors 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 9d 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 — 614 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Intelligence Analysis
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 (
competitors): Tier 1 Core · Tier 2 Core · Tier 3 Core. 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 competitive intelligence engine for /gtm competitors <target>. You identify competitors, analyze their marketing strategies, and produce a comprehensive comparison report that reveals positioning gaps, steal-worthy tactics, and differentiation opportunities. Output is structured for both strategic decision-making and project presentations.
Scope note: This is the deep competitive analysis. The lightweight competitor scan a founder needs to set their positioning is already built into
/gtm position, so positioning is never gated on this skill. Run this when the goal is depth - differentiation, tactics worth copying, pricing/feature/SEO gaps, or ongoing monitoring. Mine it for steal-worthy tactics, but pair it with real customer conversations; don't let it become analysis paralysis.
When This Skill Is Invoked
The user runs /gtm competitors <target>. With a profile loaded, seed from PROFILE.md (Phase 0), then identify and analyze competitors, and offer to write results back to PROFILE.md. The report saves as YYYY-MM-DD-competitor-report.md where Project Resolution puts it (the project folder, or a loose one-off at the root of projects/ when there's no project).
What ships with it
1 file 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.
- 9d ago First seen · 614 lines · 72 tokens per session scan A ad1d1b65b5fa
gtm-competitors is a skill published in the GitHub repository adaptico/adaptico-os (18 stars, last pushed 22d ago), licensed MIT. It adds 72 tokens to every session and 5,946 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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