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 gtmagents/gtm-agents --skill community-insight-taxonomygit clone --depth 1 https://github.com/gtmagents/gtm-agentsWrote 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/gtmagents/gtm-agents/community-insight-taxonomy)<a href="https://agentmods.dev/skills/gtmagents/gtm-agents/community-insight-taxonomy"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/community-insight-taxonomy/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/gtmagents/gtm-agents/community-insight-taxonomy"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/community-insight-taxonomy.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 | $0.00023 | $0.00271 |
| Opus 5 | $0.00012 | $0.00135 |
| Sonnet 5 | $0.00005 | $0.00054 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
community-insight-taxonomy 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.
What it actually says
Community Insight Taxonomy Skill
When to Use
- Standardizing feedback tagging across forums, events, surveys, and interviews.
- Sharing structured insights with product, marketing, or CS teams.
- Powering dashboards and AI routing for community signals.
Framework
- Persona Dimension – builders, admins, execs, partners, champions, newcomers.
- Journey Stage – onboarding, activation, adoption, expansion, advocacy, lapse.
- Driver Dimension – product, support, education, pricing, community experience, roadmap.
- Sentiment & Urgency – positive/neutral/negative + severity/impact.
- Business Linkage – map to ARR tier, account health, opportunity pipeline, or churn risk.
Templates
- Tag dictionary with definitions, examples, and confidence guidelines.
- Airtable/Sheet schema with validation + automation hooks.
- Quick-reference cheatsheet for moderators/interviewers.
Tips
- Run monthly taxonomy reviews to merge duplicates and add emerging themes.
- Capture "what good looks like" examples to maintain consistency.
- Pair with
run-member-insight-sprintfor auto-tagged datasets.
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 · 32 lines · 23 tokens per session scan A dcfcbb24fd3f
community-insight-taxonomy is a skill published in the GitHub repository gtmagents/gtm-agents (399 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 271 once invoked, about $0.0001 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 2026-09-03.
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