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 agentmods add skills/chronoaiproject/nyxid/aevatar-platform-mapnpx skills add ChronoAIProject/NyxID --skill aevatar-platform-mapgit clone --depth 1 https://github.com/ChronoAIProject/NyxIDWrote 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/chronoaiproject/nyxid/aevatar-platform-map)<a href="https://agentmods.dev/skills/chronoaiproject/nyxid/aevatar-platform-map"><img src="https://agentmods.dev/badge/skills/chronoaiproject/nyxid/aevatar-platform-map.svg" alt="Measured on agentmods" 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 | $0.00137 | $0.07236 |
| Opus 5 | $0.00068 | $0.03618 |
| Sonnet 5 | $0.00027 | $0.01447 |
| Haiku 4.5 | $0.00014 | $0.00724 |
Grade A, and why
aevatar-platform-map 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 5d 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 — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aevatar control plane — the map
You are the router and reference for the Aevatar skill family — you do not execute the work yourself. Your job: orient the agent (object model, auth, caller mode), then hand off to the one companion skill that owns the step the user is on. Read this map first; each spoke is self-contained, so you can also jump straight in once you know the step.
What Aevatar is. A control plane whose client surface is driven over REST at
https://aevatar-console-backend-api.aevatar.ai, with separate in-session capabilities exposed as
tools. Build/operate resources are owned under a scope (the NyxID subject id); Agent Profile is
an independent resource surface:
scope
├── teams → members authority and ownership
├── workflow drafts / definitions workflowId
├── member implementation editor .../members/{memberId}/workflow
├── published callable services publishedServiceId
├── schedules / external triggers target callable contracts
└── run / read-model observability reports committed and materialized facts
Agent Profile
└── ownerHandle/profileSlug → opaque profileId → draft / published snapshot
These are associations between independently identified resources, not phases of one global lifecycle. "Who is this agent and what may it do?" belongs to Agent Profile; it is not a workflow/member/service operation. Creating a Profile creates no workflow, member, team, service, or schedule.
memberId, workflowId, and publishedServiceId are separate identities. Never pass a
workflowId to a member API, a memberId to a workflow-draft API, or either as a
publishedServiceId. Resolve every conversion from an explicit backend contract/read model,
never from equality, prefixes, or route position. profileId, schedule IDs, Agent Key IDs,
UserService IDs, catalog service IDs, and conversation actor IDs are distinct again.
Settle four things before you route (each has a full section below — this is the checklist):
- Which surface and which resource owner is this? Build/operate or Agent Profile — and if it's a schedule, which of the three scheduling resources owns it (see Scheduling is three resources). Routing to the wrong owner makes everything downstream wrong.
- Is it even feasible? For anything non-trivial, start with
aevatar-feasibility-advisor— it says whether the goal is possible and what must be in place first (which NyxID connector to configure, what's host-gated, what's simply not deployed, what's impossible + the alternative). Don't build something that can't ship. - Which caller mode are you in? A plain-REST client holding a NyxID bearer, or the model
running in-session with server-side tools? Only
aevatar-workflow-authoringneeds the server-side tools; everything else is REST either way. See Two caller modes. - Carry the honesty rules into every hand-off — you make real HTTP calls (no magic server-side action), most steps are async (read state back, never trust a bare 2xx), and NyxID registration is host-gated. See Honesty rules.
Then match the user's words to a step in the router below, load that skill, and don't reinvent what a spoke already owns.
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.
- 5d ago First seen · 380 lines · 137 tokens per session scan A 159d7377dedb
aevatar-platform-map is a skill published in the GitHub repository ChronoAIProject/NyxID (36 stars, last pushed yesterday), licensed Apache-2.0. It adds 137 tokens to every session and 7,236 once invoked, about $0.0007 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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