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/product-designers)<a href="https://agentmods.dev/commands/infrasity-labs/dev-gtm-claude-skills/product-designers"><img src="https://agentmods.dev/badge/commands/infrasity-labs/dev-gtm-claude-skills/product-designers/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/product-designers"><img src="https://agentmods.dev/badge/commands/infrasity-labs/dev-gtm-claude-skills/product-designers.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 | $0.05932 |
| Opus 5 | $0.00000 | $0.02966 |
| Sonnet 5 | $0.00000 | $0.01186 |
| Haiku 4.5 | $0.00000 | $0.00593 |
Grade A, and why
product-designers 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 13d 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 — 248 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:
Research & Discovery
user-persona <research data or context>— Invoke theuser-personaskill. Create refined user personas from research data with demographics, goals, frustrations, and behavioral patterns.empathy-map <user or context>— Invoke theempathy-mapskill. Build a 4-quadrant empathy map (Says, Thinks, Does, Feels) to synthesize user research into actionable insights.interview-script <topic or product>— Invoke theinterview-scriptskill. Create a structured user interview script with warm-up, core exploration, and wrap-up sections.journey-map <user and product>— Invoke thejourney-mapskill. Create an end-to-end user journey map with stages, touchpoints, emotions, pain points, and opportunity areas.affinity-diagram <research data>— Invoke theaffinity-diagramskill. Organize qualitative research data into themes, clusters, and insight statements.user-flow-diagram <task or feature>— Invoke theuser-flow-diagramskill. Create user flow diagrams showing paths, decisions, and branch logic.experience-map <service or product>— Invoke theexperience-mapskill. Create a holistic map of user touchpoints, channels, and relationships across the full ecosystem.diary-study-plan <topic or behavior>— Invoke thediary-study-planskill. Design a diary study with prompts, duration, participant criteria, and analysis framework.card-sort-analysis <data>— Invoke thecard-sort-analysisskill. Analyze card sorting results to inform information architecture and navigation structure.survey-design <hypothesis or goal>— Invoke thesurvey-designskill. Design surveys that collect reliable, unbiased quantitative data to validate hypotheses.summarize-interview <transcript>— Invoke thesummarize-interviewskill. Summarize a user interview transcript into structured insights with key themes, quotes, and action items.research-repository <context>— Invoke theresearch-repositoryskill. Build and maintain a research repository that makes findings findable and reusable across the organization.
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.
- 13d ago First seen · 248 lines · 0 tokens per session scan A 59e5067ee9db
product-designers 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 5,932 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.
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