aevatar-workflow-authoring

aevatar-workflow-authoring is a skill for Claude Code from ChronoAIProject/NyxID. It costs 102 tokens per session (9,062 once invoked), scanned A, original, Apache-2.0.

A workflow authoring tool for Aevatar, a system that runs multi-step tasks described in YAML, a structured text format. It turns a natural-language request into a reusable workflow and can preview, validate, and save it.

In plain words
What is it for?
Use it to create, test, save, or investigate executable Aevatar workflows made of roles and steps.
Why use it?
It helps convert an informal task description into a checked, repeatable process.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the nyxid plugin — 16 skills, 1 plugin shipped together

Good fit Use it to create, test, save, or investigate executable Aevatar workflows made of roles and steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chronoaiproject/nyxid/aevatar-workflow-authoring
Install

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.

Any agent
npx skills add ChronoAIProject/NyxID --skill aevatar-workflow-authoring
Clone the repo
git clone --depth 1 https://github.com/ChronoAIProject/NyxID

Made for: Claude Code.

Or install nyxid, the plugin that ships this one along with the rest of its 16 skills, 1 plugin.

Wrote 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.

agentmods badge for aevatar-workflow-authoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/chronoaiproject/nyxid/aevatar-workflow-authoring.svg)](https://agentmods.dev/skills/chronoaiproject/nyxid/aevatar-workflow-authoring)
Your own site
<a href="https://agentmods.dev/skills/chronoaiproject/nyxid/aevatar-workflow-authoring"><img src="https://agentmods.dev/badge/skills/chronoaiproject/nyxid/aevatar-workflow-authoring.svg" alt="Measured on agentmods" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,062 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00102 $0.09062
Opus 5 $0.00051 $0.04531
Sonnet 5 $0.00020 $0.01812
Haiku 4.5 $0.00010 $0.00906

Measured 8d ago against content hash 1ece4ca3f85e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

aevatar-workflow-authoring 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 8d 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.

skills/aevatar-workflow-authoring/SKILL.md · 465 lines

How it starts

The opening of the file, as written. The whole thing — 465 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Authoring an executable aevatar workflow

You turn a user's natural-language request into a valid, test-run, reusable aevatar workflow. A workflow is a YAML document of roles + steps that the engine executes; once validated you persist it as a skill so the user can re-run it and watch it in the observatory.

The core DSL, engine rules, and tool protocol are here. Load the linked REST or worked-example reference only when that surface is relevant. Follow the protocol in order.

Two execution surfaces — know which one you are before step 3. Steps 3 / 5 / 6 below call the server-side agent tools nyxid_services, aevatar_start_workflow, and ornn_publish_skill. Those exist only when you are the model running inside an aevatar session with the nyxid MCP connected. If instead you are an external client holding only a NyxID bearer token — driving the aevatar backend through the NyxID broker (nyxid proxy request aevatar), the same identity the sibling skills (aevatar-team-builder, aevatar-service-publisher, aevatar-scheduler) assume — those three tools are not callable. Read references/client-rest.md for the client dry-run, publication, and invocation path; the core DSL and engine rules below apply to both surfaces.


Protocol (follow in order)

  1. Confirm the intent is authoring. The user wants a new runnable workflow. If they want to run something that already exists, stop and search for it instead.
  2. Clarify just enough. Pin down: the trigger/input, how that ingress authenticates its source, the ordered steps, the desired output, and which external services (if any) are involved. Ask only what you cannot reasonably infer; do not over-interrogate.
  3. Select the exact external capability (only if external calls are needed). Prefer a published operation: call list_external_workflow_capabilities, copy its exact user_service_id + endpoint_id selector, then inspect readiness for interactive or durable. The YAML/proto selector has no operation_id field. Use typed capability.nyxid_request only when no published operation represents a required HTTP request; it needs an exact UserService selected from authoritative /api/v1/keys, a typed method/path/body contract, and bind-time authenticated confirmation/grant. One step carries exactly one of nyxid_operation or nyxid_request, never both. /api/v1/user-services is only a routing projection and is never execution authority.
  4. Author the YAML. Apply the DSL below and obey every rule in Engine rules (must obey). Prefer the reliable-core primitives; use advanced primitives only when the task truly needs them.
  5. Preview before execution. Use the explicit-request preview or draft-run readiness surface. Confirm unique call sites, read/write classification, approval requirements, exact workflow/revision identity, and every blocker. Preview/readiness proves admission readiness only; it does not prove runtime credential propagation or downstream authorization.
  6. Run once when authorized, then observe the same run. Never use another mutation as a status check. For a real acceptance run, require terminal completion, lastSuccess=true, non-empty required step outputs, and non-empty final output. On failure, read run detail and audit, find the first failed step, and diagnose before any rerun. Do not blindly retry a mutation or a failed workflow. If the original definition is blocked by a stale or inaccessible external resource, a separately authorized feature-equivalent probe may substitute an accessible sanitized resource while preserving the relevant step, selector, transform, file, and fan-out shapes. Its success proves only those platform features; the original workflow remains blocked or unproven. Never add sends, approvals, external mutations, or schedules merely to broaden a probe.
  7. Persist as a reusable workflow. After structural validation and any required execution proof, call ornn_publish_skill with the final workflow in workflow_yamls (see Persisting). This creates a private skill in the user's account containing the workflow.
  8. Report evidence honestly. Separate preview-ready, accepted, completed, business-verified, blocked by policy, and failed. Do not call accepted or an opened SSE stream a successful run.
  9. Iterate on request. To change an existing workflow: load it with use_skill, edit the YAML, repeat preview and validation, and publish a new version.

Read the full file on GitHub · 465 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 8d ago First seen · 465 lines · 102 tokens per session scan A 1ece4ca3f85e

Subscribe to this mod's changes

aevatar-workflow-authoring is a skill published in the GitHub repository ChronoAIProject/NyxID (36 stars, last pushed today), licensed Apache-2.0. It adds 102 tokens to every session and 9,062 once invoked, about $0.0005 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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