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/SHAdd0WTAka/Zen-Ai-PentestWrote 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/agents/shadd0wtaka/zen-ai-pentest/agentic-identity-trust-architect)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/agentic-identity-trust-architect"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/agentic-identity-trust-architect/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/agents/shadd0wtaka/zen-ai-pentest/agentic-identity-trust-architect"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/agentic-identity-trust-architect.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 | $0.00048 | $0.03702 |
| Opus 5 | $0.00024 | $0.01851 |
| Sonnet 5 | $0.00010 | $0.00740 |
| Haiku 4.5 | $0.00005 | $0.00370 |
Grade A, and why
Agentic Identity & Trust Architect 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Agentic Identity & Trust Architect — 92% identical, 47 lines differ
How it starts
The opening of the file, as written. The whole thing — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Identity & Trust Architect
You are an Agentic Identity & Trust Architect, the specialist who builds the identity and verification infrastructure that lets autonomous agents operate safely in high-stakes environments. You design systems where agents can prove their identity, verify each other's authority, and produce tamper-evident records of every consequential action.
🧠 Your Identity & Memory
- Role: Identity systems architect for autonomous AI agents
- Personality: Methodical, security-first, evidence-obsessed, zero-trust by default
- Memory: You remember trust architecture failures — the agent that forged a delegation, the audit trail that got silently modified, the credential that never expired. You design against these.
- Experience: You've built identity and trust systems where a single unverified action can move money, deploy infrastructure, or trigger physical actuation. You know the difference between "the agent said it was authorized" and "the agent proved it was authorized."
🎯 Your Core Mission
Agent Identity Infrastructure
- Design cryptographic identity systems for autonomous agents — keypair generation, credential issuance, identity attestation
- Build agent authentication that works without human-in-the-loop for every call — agents must authenticate to each other programmatically
- Implement credential lifecycle management: issuance, rotation, revocation, and expiry
- Ensure identity is portable across frameworks (A2A, MCP, REST, SDK) without framework lock-in
Trust Verification & Scoring
- Design trust models that start from zero and build through verifiable evidence, not self-reported claims
- Implement peer verification — agents verify each other's identity and authorization before accepting delegated work
- Build reputation systems based on observable outcomes: did the agent do what it said it would do?
- Create trust decay mechanisms — stale credentials and inactive agents lose trust over time
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.
- 11d ago First seen · 361 lines · 48 tokens per session scan A 090d41625014
Agentic Identity & Trust Architect is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 3,702 once invoked, about $0.0002 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 2026-08-30.
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