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 Security-Phoenix-demo/security-skills-claude-code --skill phoenix-orchestratorgit clone --depth 1 https://github.com/Security-Phoenix-demo/security-skills-claude-codeWrote 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/security-phoenix-demo/security-skills-claude-code/phoenix-orchestrator)<a href="https://agentmods.dev/skills/security-phoenix-demo/security-skills-claude-code/phoenix-orchestrator"><img src="https://agentmods.dev/badge/skills/security-phoenix-demo/security-skills-claude-code/phoenix-orchestrator/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/security-phoenix-demo/security-skills-claude-code/phoenix-orchestrator"><img src="https://agentmods.dev/badge/skills/security-phoenix-demo/security-skills-claude-code/phoenix-orchestrator.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 | $0.00170 | $0.01419 |
| Opus 5 | $0.00085 | $0.00709 |
| Sonnet 5 | $0.00034 | $0.00284 |
| Haiku 4.5 | $0.00017 | $0.00142 |
Grade A, and why
phoenix-orchestrator 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 yesterday.
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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phoenix Security — Pipeline Orchestrator
What This Does
Runs roles 01–10 sequentially, validates each output, manages the 04↔05 iteration loop, and produces a ship-ready Phoenix PRD + Cursor plan + Confluence page.
Phoenix Domain Context (carry through every role)
Product Pillars
ASPM · CTEM · Container Lineage · Reachability Analysis · Supply Chain / SCA · DevSecOps · LLM Security · Board-Level Reporting
Active Integrations
GitHub Advanced Security, Snyk (SCA eval), Qualys, Prisma (being displaced), Wiz (replacing Prisma at Anaplan), Azure Security Center, Backstage, Jenkins, AWS (core), GCP (CTI + AI)
Key Stakeholders
| Role | Name |
|---|---|
| CEO / Product Owner | Francesco Cipollone |
| CTO | Alfonso Eusebio |
| CRO | Philip Moroni |
Active Enterprise Accounts
- Mimecast — replacing Prisma, Snyk SCA eval, multi-cloud + on-prem, container lineage
- Johnson Matthey — OT/manufacturing, GitHub AS + Azure SC + Qualys, reachability + maturity model
- Anaplan — Prisma → Wiz, Jenkins gating, board-level risk reporting (10 categories)
Case Study Benchmarks
- ClearBank: 98% container vuln reduction, $15M dev time saved
- Bazaarvoice: 94% container reduction, $6.3M saved, 32K rules via Backstage
- IAS: 78% false positive reduction, $1.7M+ saved
Competitors (handle carefully in external content)
Prisma · Wiz · ArmorCode · Snyk
Pipeline Execution Flow
Phase 1 — Foundation (Roles 01–03)
Raw Context
→ [01] Context Curator → CLEAN_CONTEXT (≤900 tokens)
→ [02] Scope Cutter → SCOPE_DEFINITION (≤800 tokens)
→ [03] Constraint Distiller → ACTIVE_SET (≤700 tokens)
Phase 2 — Requirements Loop (Roles 04–05, max 3 iterations)
→ [04] Requirements Engineer → NORMATIVE_REQUIREMENTS (≤1500 tokens)
→ [05] Ambiguity Hunter → CLARIFICATIONS
If critical > 0 → back to [04] (max 3 iterations)
If critical = 0 → Phase 3
Phase 3 — Security & Contracts (Roles 06–07)
→ [06] Security Engineer → SECURITY_REQUIREMENTS (≤1200 tokens)
→ [07] Contract Architect → CONTRACTS (≤1200 tokens)
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.
- yesterday First seen · 146 lines · 170 tokens per session scan A bf642ca8e47b
phoenix-orchestrator is a skill published in the GitHub repository Security-Phoenix-demo/security-skills-claude-code (70 stars, last pushed yesterday), licensed MIT. It adds 170 tokens to every session and 1,419 once invoked, about $0.0009 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 2026-09-11.
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