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.
git clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skillsWrote 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/commands/infrasity-labs/dev-gtm-claude-skills/marketing)<a href="https://agentmods.dev/commands/infrasity-labs/dev-gtm-claude-skills/marketing"><img src="https://agentmods.dev/badge/commands/infrasity-labs/dev-gtm-claude-skills/marketing/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/commands/infrasity-labs/dev-gtm-claude-skills/marketing"><img src="https://agentmods.dev/badge/commands/infrasity-labs/dev-gtm-claude-skills/marketing.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.01480 |
| Opus 5 | $0.00000 | $0.00740 |
| Sonnet 5 | $0.00000 | $0.00296 |
| Haiku 4.5 | $0.00000 | $0.00148 |
Grade A, and why
marketing 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parse the arguments: $ARGUMENTS
The first word is the subcommand. Everything after it is the input.
Route to the correct skill based on the subcommand:
SEO & discoverability
seo-audit <domain or url>— Invoke theseo-auditskill. Pass the domain or URL to diagnose technical and on-page SEO issues.ai-seo <url or topic>— Invoke theai-seoskill. Pass the URL or topic to optimize for AI search engines and LLM citations.schema <url or page type>— Invoke theschemaskill. Pass the URL or page type to add/fix structured data markup.programmatic-seo <keyword pattern>— Invoke theprogrammatic-seoskill. Pass the keyword/template pattern to build SEO pages at scale.
Content & copy
content-strategy <product or niche>— Invoke thecontent-strategyskill. Pass the product or niche to plan what content to create.copywriting <page or url>— Invoke thecopywritingskill. Pass the page or URL to write or improve marketing copy.social <platform or topic>— Invoke thesocialskill. Pass the platform or topic to create/schedule social content.lead-magnets <topic or audience>— Invoke thelead-magnetsskill. Pass the topic or audience to plan a lead magnet.free-tools <product or idea>— Invoke thefree-toolsskill. Pass the product or idea to plan a free marketing tool.
Demand gen & growth
ads <product or goal>— Invoke theadsskill. Pass the product or goal for paid campaign strategy and targeting.ad-creative <product or offer>— Invoke thead-creativeskill. Pass the product or offer to generate ad copy variations at scale.ab-testing <what to test>— Invoke theab-testingskill. Pass what you want to test to design an experiment.cro <page url>— Invoke thecroskill. Pass the page URL to improve conversion rate.launch <product or feature>— Invoke thelaunchskill. Pass the product or feature to plan a launch.marketing-ideas <product>— Invoke themarketing-ideasskill. Pass the product to brainstorm growth ideas.referrals <product>— Invoke thereferralsskill. Pass the product to design a referral/affiliate program.community-marketing <product or goal>— Invoke thecommunity-marketingskill. Pass the product or goal to plan community-led growth.
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 · 96 lines · 0 tokens per session scan A 1926597f3660
marketing is a command published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,480 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.