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 matteotitta/genesys-skills --skill icp-behaviouralgit clone --depth 1 https://github.com/matteotitta/genesys-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/skills/matteotitta/genesys-skills/icp-behavioural)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/icp-behavioural"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/icp-behavioural/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/matteotitta/genesys-skills/icp-behavioural"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/icp-behavioural.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 | $0.02042 |
| Opus 5 | $0.00012 | $0.01021 |
| Sonnet 5 | $0.00005 | $0.00408 |
| Haiku 4.5 | $0.00002 | $0.00204 |
Grade A, and why
icp-behavioural 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ICP Behavioural
Build behavioral buyer personas from website data, sales calls, and review signals — then simulate their buying decisions against any URL. Produces predictive personas (how buyers behave) rather than descriptive profiles (who buyers are), plus a prompt bank for AEO/SEO tracking.
Renamed from: icp-synthetic v1.0. For structured ICP research reports, see icp-research.
Knowledge type: icp-profile (see .claude/rules/ontology.md)
Maturity on first run: emergent → validated after simulation or client feedback
When to run
Two modes (full diagram → the premium reference):
- Mode 1 — Build: First run for a new company. Produces persona cards saved as artifacts. Phases 1, 2, 3, 5, 6.
- Mode 2 — Simulate: Independent re-runs against any URL (different page, competitor site, post-redesign). Reuses saved persona cards. Phase 4 only.
Invoke when user says: "ICP research for [company/URL]", "Synthetic personas for [company]", "Buyer research for [URL]", "Build personas for [company]", "Test [URL] against buyer personas", "Simulate [URL] with [company] personas" (Mode 2), "Run personas against [page]" (Mode 2).
Do NOT invoke when:
- Competitor research only → use
competitor-research - Brand/design extraction → use
brand-kit - Messaging without customer research → use
product-messaging - Direct content creation → use the relevant content skill
Inputs
Required
| Input | Description | Source |
|---|---|---|
| Website URL (Mode 1) | Primary company website to research | User specification |
| Target URL + persona cards (Mode 2) | Page to simulate + previously saved personas | User + Mode 1 output |
Optional (improve enrichment tier — see the premium reference)
| Input | Enrichment Impact | Accepted Formats |
|---|---|---|
| Sales call transcripts | Tier 1→3 (biggest jump) | Raw transcript OR transcript-analysis output |
| Customer interviews | Tier 2→3 | Raw transcript OR structured notes |
| CRM notes | Tier 3→4 | Summary notes, deal notes |
| Support tickets / community posts | Tier 3→4 | Raw text, forum links |
| Existing ICP docs | Validates/expands | Any format |
| Case studies URL | Improves Tier 1 | Direct link |
| G2/review links | Improves Tier 1 | Direct links |
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 · 152 lines · 150 tokens per session scan A a4cd13a08015
icp-behavioural is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 2,042 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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