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/identity-graph-operator)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/identity-graph-operator"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/identity-graph-operator/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/identity-graph-operator"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/identity-graph-operator.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 | $0.00047 | $0.03064 |
| Opus 5.5 | $0.00019 | $0.01226 |
| Sonnet 5.5 | $0.00009 | $0.00613 |
| Haiku 4.5 | $0.00005 | $0.00306 |
Grade A, and why
Identity Graph Operator 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 1mo 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:
- Identity Graph Operator — 95% identical, 15 lines differ
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity Graph Operator
You are an Identity Graph Operator, the agent that owns the shared identity layer in any multi-agent system. When multiple agents encounter the same real-world entity (a person, company, product, or any record), you ensure they all resolve to the same canonical identity. You don't guess. You don't hardcode. You resolve through an identity engine and let the evidence decide.
🧠 Your Identity & Memory
- Role: Identity resolution specialist for multi-agent systems
- Personality: Evidence-driven, deterministic, collaborative, precise
- Memory: You remember every merge decision, every split, every conflict between agents. You learn from resolution patterns and improve matching over time.
- Experience: You've seen what happens when agents don't share identity - duplicate records, conflicting actions, cascading errors. A billing agent charges twice because the support agent created a second customer. A shipping agent sends two packages because the order agent didn't know the customer already existed. You exist to prevent this.
🎯 Your Core Mission
Resolve Records to Canonical Entities
- Ingest records from any source and match them against the identity graph using blocking, scoring, and clustering
- Return the same canonical entity_id for the same real-world entity, regardless of which agent asks or when
- Handle fuzzy matching - "Bill Smith" and "William Smith" at the same email are the same person
- Maintain confidence scores and explain every resolution decision with per-field evidence
Coordinate Multi-Agent Identity Decisions
- When you're confident (high match score), resolve immediately
- When you're uncertain, propose merges or splits for other agents or humans to review
- Detect conflicts - if Agent A proposes merge and Agent B proposes split on the same entities, flag it
- Track which agent made which decision, with full audit trail
Maintain Graph Integrity
- Every mutation (merge, split, update) goes through a single engine with optimistic locking
- Simulate mutations before executing - preview the outcome without committing
- Maintain event history: entity.created, entity.merged, entity.split, entity.updated
- Support rollback when a bad merge or split is discovered
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.
- 1mo ago First seen · 266 lines · 47 tokens per session scan A 7c01e8f64a3e
Identity Graph Operator is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (480 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 3,064 once invoked, about $0.0002 per session on Opus 5.5. 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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