Yon read
Read, interpret, or explain existing YON content. Trigger on any .yon file, YON snippet (lines with @TAG|...|... patterns), or when the user says "read this YON", "what does this YON mean", "explain this @DOC/@RULE/@STEP", "summarize this YON", "interpret this record". Do NOT trigger for generic format questions ("what is YON?") with no YON content present — and do not trigger when the user wants to *write* YON (use yon-write).From its SKILL.md
npx -y skills add allemaar/open-skills --skill yon-readAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 13 stars13 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
6.9 KB, ~1.6k tokens by cl100k_base, as published. Nobody here has run it
/yon-read
YON Reading & Interpretation Mode — read, analyze, or explain YON (YounndAI Object Notation) content. YON is a line-oriented, stream-first Cognitive Architecture for AI systems — every line is independently parseable.
Quick Orientation
YON looks like this — each line is a self-contained record:
@TAG field1=value1 | field2="quoted value" | key:type=typed_value
- Tags start with
@at column 1 (uppercase):@DOC,@RULE,@STEP, etc. - Fields are separated by
|(space, pipe, space) - Comments are lines starting with
# - Indented lines continue the previous record
- Values are bare when simple (
kind=workflow) or quoted when they contain spaces (title="My Document") - Types are declared inline:
n:int=3,active:bool=true,ts:ts=2026-01-01T00:00:00Z
Interpretation Protocol
1. Start with @DOC
The first non-comment line tells you what the document is:
ver— spec version (should be2.0)id/title— identity and human-readable namekind— document type:doc,rule,workflow,skill,sidecar,spec,context,memory,note,promptprofile— which tag families are active:core,decl,exec,audit,cognitive,agent,fullfmt— density:canon(readable),min(compact),ultra(maximum density)domain— industry domain if applicable (e.g.,yon.health,yon.fintech)
2. Walk @SEC Sections
Sections are flat — no nesting. Each @SEC name="..." marks a boundary; everything after it belongs to that section until the next @SEC or end of document.
3. Interpret by Tag
Structure: @NOTE (annotation), @META (metadata), @DEF (alias), @REF (external reference), @STAMP (provenance — who, when)
Intent & Logic: @INTENT (purpose/goal), @SCOPE (boundaries), @RULE (constraint with lvl=MUST|SHOULD|MAY), @SCHEMA (validation), @CFG (configuration), @MAP (key-value routing), @CHECK (assertion)
Workflow: @STEP (operation with order n, op code, inputs/outputs), @INPUT/@OUTPUT (declarations), @YIELD (partial results), @CATCH/@RETRY/@ERROR (error handling)
Change Control: @PATCH (modify prior record), @VOID (revoke prior record)
Blocks: @BEGIN/@END — verbatim embedded content (code, JSON, logs). Content inside is raw payload, not YON.
Privacy: @REDACTION (masking), @CONSENT (consent events)
Cross-Domain: @IDENTITY (actors), @LOCATION (spatial references)
4. Follow Reference Tokens
Records connect through prefixed tokens:
block:config→@BEGINblock withid=configrid:step:1→ record withrid=step:1cfg:,file:,url:,ref:→ configs, files, URLs, generic referencesagent:,group:,role:,stream:→ Layer 4 agent referencesid:,loc:→ cross-domain identity/location
5. Recognize Layers
- Layer 1-2 (Core): Structure, logic, workflows — most documents live here
- Layer 3 (Cognition):
@THOUGHT,@HYPOTHESIS,@DECISION,@MEMORY,@PULSE,@SHARD— reasoning traces - Layer 4 (Agents):
@AGENT,@STREAM,@SIGNAL,@TENET,@ESCALATE— multi-agent orchestration. Reading these records is always supported; executing@AGENT-routed dispatch depends on the host runtime's subagent capabilities (Claude Code supports it via the Agent tool; other runtimes vary). When Layer 4 records appear, interpret and explain them, but flag execution as runtime-dependent.
Worked Example
Given this YON:
@DOC ver=2.0 | id=api-rules | title="API Safety Rules" | kind=rule | profile=decl
@INTENT goal="Protect public API endpoints"
@SEC name="Authentication"
@RULE rid=rule:auth | lvl=MUST | when="accessing any endpoint" | then="include valid Bearer token"
@RULE rid=rule:expired | lvl=MUST_NOT | when="token is expired" | then="allow access"
@SEC name="Rate Limits"
@MAP name=TierLimits | pairs=["standard"->"100/min","premium"->"500/min"]
@RULE rid=rule:backoff | lvl=SHOULD | when="rate limit exceeded" | then="retry with exponential backoff"
Explain it as:
This is a rules document for API safety (
kind=rule,profile=decl). Its goal is to protect public API endpoints.Authentication section has two mandatory rules: every API call must include a valid Bearer token, and expired tokens must never be allowed through.
Rate Limits section defines two tiers — standard users get 100 requests/minute, premium get 500. If the limit is hit, clients are recommended (but not required) to use exponential backoff.
Reading Sidecar Manifests
When a .yon file is colocated with source code, focus on: the Identity section (what the file is/exports), Agent Router section (decision trees — these are instructions to follow), Banned Combos section (anti-patterns to avoid), Dependencies, and Consumers.
Voice When Explaining YON
When explaining YON content to users:
- Translate records to plain English, grouped by section
- State
@RULEconstraints with severity level prominently - For workflows, describe execution order and data dependencies
- For
@MAPrecords, explain the routing/decision logic - Call out
@INTENTand@SCOPEfirst — they frame the whole document - Use YON's preferred terminology: "structural baseline" (not "overhead"), "operational characteristic" (not "trade-off"), "recoverability budget" (not "cost"). Avoid: "revolutionary", "game-changing", "best-in-class", "leverage", "synergy"
Detailed References
For edge cases, Layer 3/4 tags, and field-level details — read these only when needed:
- references/read-card.txt — Complete syntax card with all 72 tags across all layers
- references/tag-registry.md — Tag tables organized by layer and category
- references/type-system.md — Value types, reference token prefixes, list constraints
- references/common-fields.md — Universal fields, content fields, workflow fields, governance fields
What ships with it: 4 files
14.9 KB alongside SKILL.md
references/
- common-fields.md2.7 KB
- read-card.txt5.1 KB
- tag-registry.md4.4 KB
- type-system.md2.7 KB